how long to edit dissertation

Study at Cambridge

About the university, research at cambridge.

Events and open days
Fees and finance
Student blogs and videos
Why Cambridge
Qualifications directory
How to apply
Fees and funding
Frequently asked questions
International students
Continuing education
Executive and professional education
Courses in education
How the University and Colleges work
Visiting the University
Term dates and calendars
Video and audio
Find an expert
Publications
International Cambridge
Public engagement
Giving to Cambridge
For current students
For business
Colleges & departments
Libraries & facilities
Museums & collections
Email & phone search

Reworking and editing your dissertation

Faculty of Modern and Medieval Languages and Linguistics
About overview
Governance of the Faculty overview
Governance at MML
Faculty Board overview
Board Overview
Membership and Contacts
Student Engagement
Staff-Student Liaison Committee overview
Committee Overview
News & Events
Academic Visitors
Public Engagement
IT Services
The University Library
Language Centre
Research Facilities
MMLL privacy policy
Health and Safety at MMLL
Subjects overview
Modern Greek
Spanish and Portuguese
Slavonic Studies overview
Slavonic Studies virtual event for Years 11 & 12
Theoretical and Applied Linguistics
Undergraduates overview
The Courses: Key Facts overview
Course costs
The courses we offer
The MML Course overview
MML: The First Year
MML: The Second Year
MML: The Year Abroad
MML: The Fourth Year
The Linguistics Course
The History and Modern Languages Course overview
Course structure overview
How We Teach
How You Learn
Resources for teachers and supporters
Careers and Employment
Alumni testimonials overview
Matthew Thompson
Rosie Sargeant
Mark Austin
Esther Wilkinson
Katherine Powlesland
Gillian McFarland
Katya Andrusz
Frequently asked questions overview
Choosing your course
Applications
Resources and reading lists for prospective students
Did you know...?
Student Perspectives overview
Alfie Vaughan
Romany Whittall
Postgraduates
Offer Holders overview
French overview
Summer Preparation
German overview
Beginners Course overview
Post A-Level Course overview
Italian and Greek overview
Portuguese overview
Spanish overview
History & Modern Languages Tripos
From Our Students
Current undergraduates overview
Year Abroad overview
Current Students
Thinking about your Year Abroad overview
Studying overview
Finance overview
Turing Scheme
Safety and Insurance
Year Abroad FAQs
Year Abroad Project FAQs
Modern and Medieval Languages Tripos overview
MML Part IA List of Papers
Part I Oral Examination A and B
MML Part IB List of Papers
MML IB Assessment by Long Essay
The Year Abroad Project
MML Part II List of Papers overview
MML Part II List of Borrowed Papers
CS5: The Body
CS6: European Film
Oral C Examination
MML Part II Optional Dissertation
MML with Classics
Linguistics within the Modern and Medieval Languages Tripos
Linguistics Tripos overview
Linguistics Tripos - List of Papers
Transferable Skills
History and Modern Languages Tripos
Marking Criteria
Supervision Guidelines
Teaching Provision
Examinations Data Retention Policy (PDF)
Learning Resources
Additional Course Costs
Faculty guidance on plagiarism
Translation Toolkit overview
1. Translation as a Process
2. Translation as a Product
3. Equivalence and Translation Loss
Email etiquette at MMLL
Overall Degree Classification
Current postgraduates
Research in MMLL overview
Research by Section overview
Italian overview
CIRN Home overview
CIRN Events overview
CIRN Annual Lecture 2015
CIRN Annual Lecture 2016
CIRN Annual Lecture 2017
CIRN Annual Lecture 2018
CIRN Annual Lecture 2019
CIRN Annual Lecture 2019-20
CIRN Annual Symposium 2015
CIRN Annual Symposium 2016
CIRN Annual Symposium 2017
CIRN Annual Symposium 2018
CIRN Annual Symposium 2019
CIRN News and Events archive
Slavonic Studies
Research by Language overview
Research by Period overview
Medieval and Pre-Modern
Early Modern
Eighteenth Century
Nineteenth Century
1900 - 1945
1945 - present
Research by Thematic Field overview
Literature, Visual Culture and the Arts overview
Colonial, Postcolonial and Decolonial Studies
Contemporary Culture and Society
Drama, Music and Performance
Environmental Criticism and Posthumanism
Film and Visual Culture
Gender, Feminism and Queer Studies
Intellectual and Cultural History
Literary Theory, Philosophy and Political Thought
Material Culture and History of the Book
Poetry, Rhetoric and Poetics
Language and Linguistics overview
Comparative Syntax
Computational Linguistics
Dialectology
Experimental Phonetics and Phonology
Historical Linguistics
Language Acquisition
Language Change
Language Contact
Multilingualism
Psycholinguistics
Semantics, Pragmatics and Philosophy
Translation Theory and Practice
Funded Projects
Apply for Research Funding overview
Research Strategy Committee
Leverhulme Early Career Fellowships
British Academy Postdoctoral Fellowships
Management of Ongoing Grants
Funding Opportunities
Centres overview
Cambridge Film and Screen
Cambridge Italian Research Network (CIRN)
Centre of Latin American Studies (CLAS)
Cambridge Language Sciences
Cambridge Endangered Languages and Cultures Group (CELC) overview
Seminar Series
Past conferences
Cambridge Centre for Greek Studies
Centre for the Study of Global Human Movement
Equality and Diversity overview
EDI Committee
Accessibility Statement
Accessible Materials
Recording Lectures
Athena SWAN
Mentoring and Career Development
Parents and Carers
EDI Related Links
Harassment and Discrimination
Outreach overview
Resources overview
Open Day Resources for Prospective Students
CCARL A-level Resources overview
Why Not Languages? resources overview
Student Q&A
Events for Students overview
Events for Teachers overview
Diversity in French and Francophone Studies: A CPD workshop series for teachers of French
Diversity in German Studies - CPD Workshop series aimed at secondary teachers of German
Workshop for Spanish Teachers
Workshop for Teachers of German: Diversity in German Culture
Access and Widening Participation
Prospective Students
Equality and Diversity

Reworking your first draft

Finishing your first draft is a milestone in the process of writing a dissertation. Until this point, your ideas may have been quite hazy, but now the real work can start in reorganising and refining your piece.

Your supervisor’s comments should provide you with a clear sense of how you can improve your work. There may be areas in which you need to do some further reading; you may need to restructure your draft to introduce greater balance in your material, or coherence in your ideas. But you also need to be critical of your own work and consider how your analysis and arguments could be strengthened. This is the point at which you should take a step back and consider your work as a whole. Some time away (at least two weeks) from your dissertation is extremely helpful, so try to build this into your schedule. When you come back to it, you will find it much easier to see the bigger picture, and it will become much clearer to you where your overall argument is heading, and how to improve the weaker parts of your analysis.

Ask yourself: what has my work achieved? What is the significance of the conclusions I have reached? Are there ways in which I could push my analysis further? The best dissertations are written by students who are not satisfied with their work until a clear and original argument emerges, and then have the courage (and the time) to rework their drafts radically to bring them into line with that argument.

At this stage it is a good idea to check back to the Faculty marking criteria for the Year Abroad Dissertation or the Optional Dissertation . To what extent are you fulfilling these? How could you improve your work in each of the areas mentioned?

Editing for style

Spend some time working on the stylistic aspects of your draft. It should be written in a style appropriate for a piece of academic work, which means that it should be clear and concise, using specialist terms accurately but not lapsing into jargon. Avoid colloquialisms, vague or impressionistic language (phrases which sound good but don’t really mean anything), convoluted sentences and too much repetition in lexicon or syntax.

Cutting words

As part of the editing process, students often find that they need to cut a substantial number of words. This can be a laborious and somewhat dispiriting task, as you delete whole sentences and sections which took a lot of energy to write in the first place. But if you find yourself in this situation, think positively: pruning – or hacking – parts of your dissertation will produce a much leaner and meaner piece of work, in which all your points are made with an economy of style (much appreciated by examiners) and rigorously related to your argument, and all irrelevant or fluffy material is suppressed.

Producing a final version

A supervisor may be able to read more than one draft for you, but producing the final version is your responsibility. Allow plenty of time for proofreading: use a spellchecker to find most of the typos, but also read your work through very carefully to eliminate other kinds of error that a spellchecker will not pick up.

Search form

Keep in touch

University of Cambridge Privacy Policy
Student complaints and Examination Reviews

University A-Z
Contact the University
Accessibility
Freedom of information
Terms and conditions
Undergraduate
Spotlight on...
About research at Cambridge

Educational resources and simple solutions for your research journey

How to Edit a Thesis and Revise it Successfully

As a researcher your PhD thesis is the culmination of many years of research on a subject. It helps to showcase your subject matter expertise, academic writing skills and capabilities as an independent researcher. After having spent months and years working on a PhD thesis, most early career researchers rush to submit their work before allowing themselves to take a breather. However, experienced researchers suggest that while taking a break from your thesis might be a good idea, it is imperative to spend some time to proofread, revise, and polish your thesis before submitting it for evaluation. Most early career researchers find this daunting and often procrastinate when it comes to editing PhD thesis and revising it.

Table of Contents

Why Editing PhD thesis and Proofreading it is Essential

Editing and revising your PhD thesis is absolutely essential as it helps improve the clarity and coherence of the thesis. Proofreading entails reading the content to ensure that it is understandable, accurate, and well-presented. A well-written thesis is easy to follow and presents ideas in a logical and organized manner. Editing and proofreading helps to identify areas where the thesis may be unclear or where the argument may be weak. A well-edited and proofread thesis demonstrates attention to detail and a commitment to excellence, which can help to impress the thesis committee and lead to a successful defence.

This article explains the importance of editing and proofreading a PhD thesis and offers advice on how to edit and revise your work.

Tips for Successfully Editing and Revising Ph.D. Thesis

Take a break: Once you finish your thesis, give yourself a few days or a week to relax and recharge your energies before return to it with a refreshed perspective. Taking a break from your work can help you to approach it with fresh eyes.
Pay attention to detail: Take time to carefully edit your PhD thesis from start to finish, stay alert to minor grammatical errors, inaccurate information or issues with formatting. Focus on removing any contradiction and add supporting information where there is a lack of adequate proof.
Edit section-by-section: Break down the thesis into smaller, more manageable sections to check for spelling errors, citation mistakes and look for problems with structure and coherence. This can be helpful to ease the editing and proofreading process.

Refine your opening and conclusions: Pay attention to both the introduction and the conclusion of your thesis. They must be well written and impactful and must convey the details of your work in a compelling way. For better understanding and consistency, try re-organizing elements of your thesis by avoiding jargon and using clear and simple language to explain things.
Ensure that your thesis meets submission guidelines: Most universities and departments may have guidelines and requirements for the submission of dissertations. These can include specifics on whether to use APA or MLA referencing and formatting guidelines. Being aware of these guidelines can ensure that your thesis is well-received and not returned for additional edits at a later stage.
Check for inaccuracies in citations: Most early career researchers find themselves inadvertently making errors when it comes to listing citations. Reference management tools like Zotero and Mendeley can prove very helpful as they assistsyou with correctly linking sources and citing referenced articles.
Be vigilant and check for inadvertent plagiarism: Plagiarism in academia is taken very seriously and can invite serious repercussions. Forgetting to insert quotation marks or citing a particular author you have paraphrased is deemed as plagiarism. When proofreading the thesis ensure that you check for these often inadvertent errors and correct them before final submissions.
Consider using professional editing tools: There are numerous editing tools and apps available online that can be used to identify and fix common mistakes, make your writing clearer and format according to the required citation style, allowing you to submit a perfect thesis. Apps like Researcher.Life help evaluate the submission-readiness of dissertations and research manuscripts in addition to providing editing, translation, and end-to-end support through all stages of academic writing.
Seek feedback : Having edited and proofread your PhD thesis do share it with your supervisors and request them to provide inputs and feedback. Constructive feedback can prove invaluable and help you to identify areas where you may need to make revisions or improvements. This ensures that your PhD thesis meets the high standards of academic excellence.

Finally, keep aside structured time for editing and proofreading your thesis. While you may be tempted to do so, avoid rushing through the editing and proofreading process. We hope that you will find these tips use in making your editing and proofreading process more efficient, manageable and less overwhelming.

Researcher.Life is a subscription-based platform that unifies top AI tools and services designed to speed up, simplify, and streamline a researcher’s journey, from reading to writing, submission, promotion and more. Based on over 20 years of experience in academia, Researcher.Life empowers researchers to put their best research forward and move closer to success.

Try for free or sign up for the Researcher.Life  All Access Pack , a one-of-a-kind subscription that unlocks full access to an AI academic writing assistant, literature reading app, journal finder, scientific illustration tool, and exclusive discounts on professional services from Editage. Find the best AI tools a researcher needs, all in one place –  Get All Access now at just $25 a month or $199 for a year !  

Essay Writing Basics: Strategies for PhD Success

Streamlining the Research Funding Journey With Researcher.Life’s GrantDesk

How to Write a Dissertation: Step-by-Step Guide

Editor & Writer

www.bestcolleges.com is an advertising-supported site. Featured or trusted partner programs and all school search, finder, or match results are for schools that compensate us. This compensation does not influence our school rankings, resource guides, or other editorially-independent information published on this site.

Turn Your Dreams Into Reality

Take our quiz and we'll do the homework for you! Compare your school matches and apply to your top choice today.

Doctoral students write and defend dissertations to earn their degrees.
Most dissertations range from 100-300 pages, depending on the field.
Taking a step-by-step approach can help students write their dissertations.

Whether you're considering a doctoral program or you recently passed your comprehensive exams, you've probably wondered how to write a dissertation. Researching, writing, and defending a dissertation represents a major step in earning a doctorate.

But what is a dissertation exactly? A dissertation is an original work of scholarship that contributes to the field. Doctoral candidates often spend 1-3 years working on their dissertations. And many dissertations top 200 or more pages.

Starting the process on the right foot can help you complete a successful dissertation. Breaking down the process into steps may also make it easier to finish your dissertation.

How to Write a Dissertation in 12 Steps

A dissertation demonstrates mastery in a subject. But how do you write a dissertation? Here are 12 steps to successfully complete a dissertation.

Choose a Topic

It sounds like an easy step, but choosing a topic will play an enormous role in the success of your dissertation. In some fields, your dissertation advisor will recommend a topic. In other fields, you'll develop a topic on your own.

Read recent work in your field to identify areas for additional scholarship. Look for holes in the literature or questions that remain unanswered.

After coming up with a few areas for research or questions, carefully consider what's feasible with your resources. Talk to your faculty advisor about your ideas and incorporate their feedback.

Conduct Preliminary Research

Before starting a dissertation, you'll need to conduct research. Depending on your field, that might mean visiting archives, reviewing scholarly literature , or running lab tests.

Use your preliminary research to hone your question and topic. Take lots of notes, particularly on areas where you can expand your research.

Read Secondary Literature

A dissertation demonstrates your mastery of the field. That means you'll need to read a large amount of scholarship on your topic. Dissertations typically include a literature review section or chapter.

Create a list of books, articles, and other scholarly works early in the process, and continue to add to your list. Refer to the works cited to identify key literature. And take detailed notes to make the writing process easier.

Write a Research Proposal

In most doctoral programs, you'll need to write and defend a research proposal before starting your dissertation.

The length and format of your proposal depend on your field. In many fields, the proposal will run 10-20 pages and include a detailed discussion of the research topic, methodology, and secondary literature.

Your faculty advisor will provide valuable feedback on turning your proposal into a dissertation.

Research, Research, Research

Doctoral dissertations make an original contribution to the field, and your research will be the basis of that contribution.

The form your research takes will depend on your academic discipline. In computer science, you might analyze a complex dataset to understand machine learning. In English, you might read the unpublished papers of a poet or author. In psychology, you might design a study to test stress responses. And in education, you might create surveys to measure student experiences.

Work closely with your faculty advisor as you conduct research. Your advisor can often point you toward useful resources or recommend areas for further exploration.

Look for Dissertation Examples

Writing a dissertation can feel overwhelming. Most graduate students have written seminar papers or a master's thesis. But a dissertation is essentially like writing a book.

Looking at examples of dissertations can help you set realistic expectations and understand what your discipline wants in a successful dissertation. Ask your advisor if the department has recent dissertation examples. Or use a resource like ProQuest Dissertations to find examples.

Doctoral candidates read a lot of monographs and articles, but they often do not read dissertations. Reading polished scholarly work, particularly critical scholarship in your field, can give you an unrealistic standard for writing a dissertation.

Write Your Body Chapters

By the time you sit down to write your dissertation, you've already accomplished a great deal. You've chosen a topic, defended your proposal, and conducted research. Now it's time to organize your work into chapters.

As with research, the format of your dissertation depends on your field. Your department will likely provide dissertation guidelines to structure your work. In many disciplines, dissertations include chapters on the literature review, methodology, and results. In other disciplines, each chapter functions like an article that builds to your overall argument.

Start with the chapter you feel most confident in writing. Expand on the literature review in your proposal to provide an overview of the field. Describe your research process and analyze the results.

Meet With Your Advisor

Throughout the dissertation process, you should meet regularly with your advisor. As you write chapters, send them to your advisor for feedback. Your advisor can help identify issues and suggest ways to strengthen your dissertation.

Staying in close communication with your advisor will also boost your confidence for your dissertation defense. Consider sharing material with other members of your committee as well.

Write Your Introduction and Conclusion

It seems counterintuitive, but it's a good idea to write your introduction and conclusion last . Your introduction should describe the scope of your project and your intervention in the field.

Many doctoral candidates find it useful to return to their dissertation proposal to write the introduction. If your project evolved significantly, you will need to reframe the introduction. Make sure you provide background information to set the scene for your dissertation. And preview your methodology, research aims, and results.

The conclusion is often the shortest section. In your conclusion, sum up what you've demonstrated, and explain how your dissertation contributes to the field.

Edit Your Draft

You've completed a draft of your dissertation. Now, it's time to edit that draft.

For some doctoral candidates, the editing process can feel more challenging than researching or writing the dissertation. Most dissertations run a minimum of 100-200 pages , with some hitting 300 pages or more.

When editing your dissertation, break it down chapter by chapter. Go beyond grammar and spelling to make sure you communicate clearly and efficiently. Identify repetitive areas and shore up weaknesses in your argument.

Incorporate Feedback

Writing a dissertation can feel very isolating. You're focused on one topic for months or years, and you're often working alone. But feedback will strengthen your dissertation.

You will receive feedback as you write your dissertation, both from your advisor and other committee members. In many departments, doctoral candidates also participate in peer review groups to provide feedback.

Outside readers will note confusing sections and recommend changes. Make sure you incorporate the feedback throughout the writing and editing process.

Defend Your Dissertation

Congratulations — you made it to the dissertation defense! Typically, your advisor will not let you schedule the defense unless they believe you will pass. So consider the defense a culmination of your dissertation process rather than a high-stakes examination.

The format of your defense depends on the department. In some fields, you'll present your research. In other fields, the defense will consist of an in-depth discussion with your committee.

Walk into your defense with confidence. You're now an expert in your topic. Answer questions concisely and address any weaknesses in your study. Once you pass the defense, you'll earn your doctorate.

Writing a dissertation isn't easy — only around 55,000 students earned a Ph.D. in 2020, according to the National Center for Science and Engineering Statistics. However, it is possible to successfully complete a dissertation by breaking down the process into smaller steps.

Frequently Asked Questions About Dissertations

What is a dissertation.

A dissertation is a substantial research project that contributes to your field of study. Graduate students write a dissertation to earn their doctorate.

The format and content of a dissertation vary widely depending on the academic discipline. Doctoral candidates work closely with their faculty advisor to complete and defend the dissertation, a process that typically takes 1-3 years.

How long is a dissertation?

The length of a dissertation varies by field. Harvard's graduate school says most dissertations fall between 100-300 pages .

Doctoral candidate Marcus Beck analyzed the length of University of Minnesota dissertations by discipline and found that history produces the longest dissertations, with an average of nearly 300 pages, while mathematics produces the shortest dissertations at just under 100 pages.

What's the difference between a dissertation vs. a thesis?

Dissertations and theses demonstrate academic mastery at different levels. In U.S. graduate education, master's students typically write theses, while doctoral students write dissertations. The terms are reversed in the British system.

In the U.S., a dissertation is longer, more in-depth, and based on more research than a thesis. Doctoral candidates write a dissertation as the culminating research project of their degree. Undergraduates and master's students may write shorter theses as part of their programs.

Explore More College Resources

How to write an effective thesis statement.

How to Write a Research Paper: 11-Step Guide

How to Write a History Essay, According to a History Professor

BestColleges.com is an advertising-supported site. Featured or trusted partner programs and all school search, finder, or match results are for schools that compensate us. This compensation does not influence our school rankings, resource guides, or other editorially-independent information published on this site.

Compare Your School Options

View the most relevant schools for your interests and compare them by tuition, programs, acceptance rate, and other factors important to finding your college home.

International edition
Australia edition
Europe edition

Ten things I wish I'd known before starting my dissertation

The sun is shining but many students won't see the daylight. Because it's that time of year again – dissertation time.

Luckily for me, my D-Day (dissertation hand-in day) has already been and gone. But I remember it well.

The 10,000-word spiral-bound paper squatted on my desk in various forms of completion was my Allied forces; the history department in-tray was my Normandy. And when Eisenhower talked about a "great crusade toward which we have striven these many months", he was bang on.

I remember first encountering the Undergraduate Dissertation Handbook, feeling my heart sink at how long the massive file took to download, and began to think about possible (but in hindsight, wildly over-ambitious) topics. Here's what I've learned since, and wish I'd known back then…

1 ) If your dissertation supervisor isn't right, change. Mine was brilliant. If you don't feel like they're giving you the right advice, request to swap to someone else – providing it's early on and your reason is valid, your department shouldn't have a problem with it. In my experience, it doesn't matter too much whether they're an expert on your topic. What counts is whether they're approachable, reliable, reassuring, give detailed feedback and don't mind the odd panicked email. They are your lifeline and your best chance of success.

2 ) If you mention working on your dissertation to family, friends or near-strangers, they will ask you what it's about, and they will be expecting a more impressive answer than you can give. So prepare for looks of confusion and disappointment. People anticipate grandeur in history dissertation topics – war, genocide, the formation of modern society. They don't think much of researching an obscure piece of 1970s disability legislation. But they're not the ones marking it.

3 ) If they ask follow-up questions, they're probably just being polite.

4 ) Do not ask friends how much work they've done. You'll end up paranoid – or they will. Either way, you don't have time for it.

5 ) There will be one day during the process when you will freak out, doubt your entire thesis and decide to start again from scratch. You might even come up with a new question and start working on it, depending on how long the breakdown lasts. You will at some point run out of steam and collapse in an exhausted, tear-stained heap. But unless there are serious flaws in your work (unlikely) and your supervisor recommends starting again (highly unlikely), don't do it. It's just panic, it'll pass.

6 ) A lot of the work you do will not make it into your dissertation. The first few days in archives, I felt like everything I was unearthing was a gem, and when I sat down to write, it seemed as if it was all gold. But a brutal editing down to the word count has left much of that early material at the wayside.

7 ) You will print like you have never printed before. If you're using a university or library printer, it will start to affect your weekly budget in a big way. If you're printing from your room, "paper jam" will come to be the most dreaded two words in the English language.

8 ) Your dissertation will interfere with whatever else you have going on – a social life, sporting commitments, societies, other essay demands. Don't even try and give up biscuits for Lent, they'll basically become their own food group when you're too busy to cook and desperate for sugar.

9 ) Your time is not your own. Even if you're super-organised, plan your time down to the last hour and don't have a single moment of deadline panic, you'll still find that thoughts of your dissertation will creep up on you when you least expect it. You'll fall asleep thinking about it, dream about it and wake up thinking about. You'll feel guilty when you're not working on it, and mired in self-doubt when you are.

10 ) Finishing it will be one of the best things you've ever done. It's worth the hard work to know you've completed what's likely to be your biggest, most important, single piece of work. Be proud of it.

Blogging students
Higher education
Advice for students

The 8 Most Asked Questions About Dissertations

A Ph.D. represents the highest level of education in most fields. People who earn this degree earn the honorific of “doctor” and are considered experts in their field. A doctoral degree is often a prerequisite for teaching at the highest levels in academia or ascending career ladders in education, the government and the nonprofit space.

In 2020 , doctoral degree holders had median weekly earnings of $1,885 and an unemployment rate of 2.5%—lower than any other group. And yet, the dissertation is often a major barrier to completing a doctorate and realizing its many financial and personal benefits.

So what is a dissertation, and what role does it play in your educational trajectory? At SNU, we value exceptional dissertations and integrate the writing process into your coursework. Here are the most common questions we hear about writing dissertations and earning your doctorate.

1. What is a dissertation?

A dissertation is a published piece of academic research. Through your dissertation research , you become an expert in a specific academic niche. After writing your dissertation, you then defend it to a committee of experts in the field. A dissertation is integral to the process of earning a doctoral degree, contributing innovative ideas to your chosen field. Until you have written, published and defended a dissertation, you can’t graduate from a doctoral-level program.

2. Why are dissertations so important?

Dissertations are the crucial piece of research in most doctoral-level programs. The process of writing, researching and amending the dissertation serves several important goals:

It contributes novel research to the field, supporting innovation, growth and ongoing scholarship.
It requires students to write a substantive piece of academic research across many semesters, sharpening research skills and expertise.
It demands that s tudents defend their research, ensuring strong communication and critical thinking skills.
It requires deep, comprehensive research—including a literature review—improving reading comprehension and writing skills.
It is a challenging project that serves as a test of the skills you might use as an academic professional in your chosen field.
It helps establish new members of an academic discipline as contributors to the field.
It fosters academic connections as you interview sources and defend your work.

3. Why do so many students struggle with the dissertation?

The dissertation process is difficult. However, this difficulty establishes the credibility of doctoral degrees, proving that the student can commit to long-term, intensive research and become a true subject-matter expert.

However, for many adult learners, the dissertation proves especially challenging thanks to work-life balance difficulties, financial constraints and lack of family or institutional support. At SNU, we know that a dissertation is critical to your growth as an academic. But we also know that institutional support can make a big difference in your ability to finish this impressive work. That’s why we integrate dissertation writing into our curriculum, rather than leaving you to do it all on your own time.

One study suggests that more than half of students never complete their dissertation. Other research indicates that academic reforms that help students with their work reduce dropout rates, ensuring more students complete their dissertation and earn the coveted title of doctor.

4. How long is a dissertation?

Most dissertations are 100 pages or longer — roughly the length of a book. The specific length of your dissertation depends on the type of research, how much research exists in the field and similar factors. The goal of dissertation writing is not to attain a specific length, but to be comprehensive and thoughtful. It anticipates and answers potential objections, gives appropriate credit to the source materials and reviews prior work in the field.

Your dissertation review committee is more interested in a comprehensive dissertation that displays your critical thinking and research skills than they are in a dissertation of a specific length. Excessive wordiness without value wastes a reader’s time.

The right length for a dissertation depends on several factors:

How much research already exists in the field?
What field are you publishing in?
What type of research are you doing?
Is your research controversial?
How much space do you need to explain your research and address objections?

Put simply: A dissertation should be long enough to comprehensively cover the subject, but no longer.

5. How do you write a dissertation?

In general, the dissertation process follows this schedule:

Research the field and identify potential topics.
Meet with an advisor to choose and improve a topic.
Perform a literature review.
Conduct new research.
Write the dissertation.
Edit the dissertation.
Defend the dissertation.

Each step involves weeks to months of work and many phases of revision, reevaluation and research. At SNU, we incorporate many phases of the writing and research process into your coursework. This ensures you are on track to graduate and addresses dissertation writing challenges before they snowball into a serious problem.

6. When should you start writing a dissertation?

The dissertation writing process should begin almost as soon as you enroll in school. That doesn’t necessarily mean you need to have content written on your first day of class. Instead, you will need to engage in substantive pre-writing that includes:

Familiarizing yourself with relevant research in the field.
Developing an opinion on recent research.
Designing your research to address a clear and narrowly defined topic.

As you hone in on your topic, you can begin the writing and research portion of the project. In most cases, this starts within a semester or two of enrollment. A dissertation is not something you can leave until the last semester or shortly before graduation. SNU ensures this doesn’t happen by integrating the writing process into your coursework. You will start working on your dissertation early, preventing you from becoming overwhelmed.

7. How do you cite a dissertation?

A dissertation is a published scholarly work. Each style manual has specific instructions for citing a dissertation, so be sure to consult the style manual you’re using.

You can cite other dissertations in your dissertation. In many cases, dissertations can provide useful starting points for your research. The literature reviews they contain may also help with your literature review.

8. How do you choose a school for your dissertation?

Choosing the right school for your dissertation can mean the difference between finishing this scholarly work and languishing at the dreaded “ all-but-dissertation” (ABD) stage . SNU specializes in supporting adult learners by encouraging intensive research and protecting your work-life balance.

At SNU, your dissertation is a part of your coursework . You will get support from start to finish, including a dissertation advisor who is an expert in your chosen field. We are here for you, and we want to see you succeed.

To learn more about our course offerings and compare online vs. in-person education, check out our free guide, “Choose Your Path: Online vs. On-Campus Education."

Want to learn more about SNU's programs?

Request more information.

Have questions about SNU, our program, or how we can help you succeed. Fill out the form and an enrollment counselor will reach out to you soon!

Subscribe to the SNU blog for inspirational articles and tips to support you on your journey back to school.

Recent blog articles.

Building Special Ed Leaders: A Deep Dive into SNU's MAASE Program

Adult Education

What is unique about the MBA program at SNU?

Online Degree Programs

Growing Career Opportunities for Healthcare Administration Degrees

Southern Nazarene University's Dr. Delilah Joiner Martin Named 2024 Oklahoma Mother of the Year

Have questions about SNU or need help determining which program is the right fit? Fill out the form and an enrollment counselor will follow-up to answer your questions!

Text With an Enrollment Counselor

Have questions, but want a faster response? Fill out the form and one of our enrollment counselors will follow-up via text shortly!

Dissertation editing: How long does it take?

Dissertation editing can be an intense project, even for manuscripts already in great shape. The time required to edit a dissertation depends on the quality of the writing and the type of editing needed. In this post, I’m going to break down the three main types of dissertation editing I provide to my clients, the time required to complete each type of edit, and of course, the associated costs.

Word of warning

Before I get into the heart of this post, I want to share a quick word of warning. While there are plenty of *amazing* dissertation editors, I’ve also noticed an uptick in not-so-great services being marketed at very low rates. Over the years, I’ve had to edit manuscripts that students paid other writers to edit. Just because someone stumbled through getting their own dissertation published does NOT mean they’re qualified editors. A quality dissertation editor will have testimonials and strong recommendations to support their work, and they’ll also perform sample edits to give you a sense of their skills.

What is a sample edit?

A sample edit is a brief edit (completed by hours or pages) that serves two purposes: (a) it helps you assess an editor’s skills and fit with your project, and (b) it helps the editor develop an accurate quote for your project. This is how the sample edit works with me:

You’ll send me your document — even if it’s not completely ready. I’ll spend two hours editing a few pages, using track changes. Once completed, I’ll return the document for your review. The charge for this service is $180. If you choose to work with me, the cost is subsumed within the project cost if no other changes are made to those pages. If you decide to not work with me, you’ll still come away with some good direction for making improvements on your own. You can read more about my editing process here .

Understanding types of dissertation editing

There are three main types of editing that may be needed for your dissertation. You should discuss your project and goals with your editor to make sure everyone is on the same page regarding the project scope. The types of editing I offer include developmental editing, content editing, and line editing.

Developmental editing

Developmental editing takes a “big picture” approach to your project. With developmental editing, I’m looking at all the pieces of your project to ensure cohesion and consistency. Rather than focus on specific grammatical issues (such as punctuation or word choice), a developmental edit ensures your project has a strong foundation, great organization, and that all of the pieces line up (such as the research questions, problem, purpose, method/design, the research discussed in Chapter 2). Developmental editing is ideal when you’ve completed your first draft of the proposal chapters. This type of editing allows me to address potential issues before your chair and committee members have the chance to.

Content editing

Content editing is more focused than developmental editing. Once you’ve got a strong foundation, content editing can improve the quality and breadth of the content in your chapters. Content editing can involve providing feedback or adding content/resources to strengthen your chapters. Content editing also focuses on the tone of your writing, making sure it is academic and formal, while ensuring the focus of each sentence and paragraph is clear and builds in a logical fashion.

Line editing

Finally, the most precise form of editing is line editing. A line edit should happen AFTER solid content and development of your project. Line editing provides the final polishing of your project, making sure the grammar, style, formatting, and word choice are perfect. A line edit does NOT take a macro approach – this type of edit is focused on the nitty gritty, so it’s important that line editing is not performed until the content and organization of the chapters are approved! Line edits are typically performed twice: right before the proposal defense, and then after the final defense (before publication). A line edit will also address the verb tense changes (future tense to past tense) needed to convert Chapters 1-3 for the final dissertation manuscript.

How much does dissertation editing cost?

The cost of an edit will depend on the needs of a project. Some editors charge by the word or the page, others (like me) charge based on an hourly rate. A project quote will require a review of your work, but here’s a general idea of typical editing speeds for each of the aforementioned types of edit:

Developmental: 3-5 pages per hour

Content: 1-4 pages per hour

Line: 3-6 pages per hour

As you can see, there’s quite a range. For example, a line edit of a pretty well written, 80-page proposal could be performed at 6 pages per hour, and completed in about 12-13 hours (total price: $1080-$1170).

How to find the best dissertation editing services?

Before hiring someone to edit a dissertation, ask around, read testimonials, and request a sample edit! After you’ve found an editor you like, get a written contract that outlines the scope of the project. Be sure the editor agrees to fix errors on their part (missed typos, grammatical issues, etc.) at no charge. ALSO, ensure the agreement lists a clear turnaround time. Students are typically working with tight timelines!

If you have any questions about dissertation editing, please reach out ! As always, happy writing!

Your Writing, Expertly Edited

Get your work meticulously edited and proofread by PhD-qualified academic writing specialists, who know exactly what markers want .

Your All-In-One Solution

While many providers charge for editing and proofreading separately, our service includes both . This means we’ll take care of the following:

Fix typos, misspellings, punctuation issues and ensure consistency of your spelling format (e.g., UK or US English).
Undertake light rewriting of poorly presented sentences, to improve readability and ease of understanding. If substantial rewriting is needed, we’ll provide suggestions.
Highlight areas where clarification and additional explanation are needed.
Ensure that your in-text references are in the correct style, formatted correctly and are included in the end-text reference list.
Ensure that your reference list is correctly formatted.
Highlight areas where additional references are needed (e.g., sweeping statements, unfounded arguments, etc.).
Generate the table of contents page, lists of figures and tables.
Ensure consistent style for figure and table captions.
Insert captions where we are able to, or highlight areas where captions are needed.
Ensure consistency of heading levels and styles.
Ensure correct page numbering (e.g., roman numerals for pre-matter).
Ensure that your format/page layout is in line with your institute’s requirements.

What exactly you get

Every editing and proofreading project includes the following key deliverables:

A perfectly edited document

You’ll receive a clean, finalised version of your document, fully edited and proofread. You’ll also receive a second version with all changes tracked , as well as our comments and suggestions to improve your writing further.

A detailed plagiarism report

If you’d like, we can run a comprehensive plagiarism scan on your document and provide you with a detailed report that outlines potential plagiarism issues and provides a similarity index. This is included free of charge.

A polished conceptual framework

If your document includes a conceptual framework, we’ll polish your design into a high-quality visual to give your work a professional look. Again, this service is provided completely free of charge.

A certificate of editing

If your university requires a formal certificate of editing or confirmation letter, we’ll draft this according to your institution’s specific requirements. We can also provide copies of invoices and receipts if required by your sponsor.

The Grad Coach Difference

Editors are a dime a dozen and there’s always someone who can do it cheaper. Here’s what makes Grad Coach’s editing and proofreading service different.

Academic Writing Specialists

Our PhD-qualified editors specialise in academic writing, so they know exactly what markers want.

Combined Editing & Proofreading

Our service includes both editing and proofreading, while others charge separately for each.

Full Plagiarism Reporting

In addition to editing and proofreading, we can also provide a plagiarism report , completely free of charge.

Get Your Dissertation Edited Today

Or book a free, no-obligation consultation .

Frequently Asked Questions

Below are some of the most popular editing-related questions we receive.

Editing & Proofreading

How do you edit and proofread.

Our editing and proofreading process is 100% manual - in other words, it's handled by a team of highly qualified human editors, not machines . We don't use any automation software or tools, as nothing can beat the quality and accuracy of human editing.

Our editing team consists of a diverse mix of Doctoral and Master's-qualified language specialists . The team is managed by Dr Eunice Rautenbach , who holds both a Master's and Doctoral degree in language practice. All team members have extensive academic editing experience, are native English speakers (from the US, UK and SA) and have worked on numerous dissertations, theses and research projects.

Can I see an example/sample of your editing?

Certainly . You can download a sample editing and proofreading project here .

Will you sort out my references and citations?

Yes . As part of the editing process, we will ensure that your references and citations are in the correct format (e.g., Harvard, APA, etc) as per your university's requirements (you'll need to advise us what these are).

However, keep in mind that we can't fill in incomplete references or find the relevant sources for you (as it's impossible for us to know which sources you've referenced). We also cannot check whether the references you have are accurate or suitable for the arguments you make in your writing.

Can you fix/build my table of contents?

Yes , we can create a table of contents based on the headings and subheadings throughout your dissertation or thesis. This table of contents will include the respective page number for each heading or subheading.

Can you lower my word count?

Yes - as part of the editing process, we will edit your work for concision. However, we cannot guarantee a specific word count or percentage reduction, as this would risk cutting out important content.

Can you check my work for plagiarism?

Yes - we can provide a detailed plagiarism report with every editing and proofreading project. However, please keep in mind that universities use a variety of plagiarism-checking services. Therefore, if your university provides you with a plagiarism-checking facility (as they often do), you should double-check your score on that system.

How long does the editing and proofreading process take?

It depends on the length of the document, the overall quality of the writing (i.e., the number of issues to be resolved) and our project load at the time of submission.

Generally speaking, we can complete a standard dissertation/thesis of 20,000 words within 2-3 days , but this varies depending on the factors above. Therefore, we strongly recommend that you pre-book your editing with us for a specific date. For pre-booked projects, we can provide a guaranteed timeline, which is generally shorter than that of "walk-in" projects. Please email us to pre-book your project.

Can you provide a certificate of editing?

Yes , certainly. We can issue a certificate according to your university's requirements. We can also sign any paperwork required by your university as proof of editing.

Will my document be treated as confidential?

Yes , absolutely. Your work will be treated as strictly confidential and will never be shared or published. We will gladly sign a non-disclosure agreement (NDA) with you if you wish.

How much does editing cost?

Our fee is based on the total word count of the document. This includes the body content and the reference list (as we need to review this). You can also include the appendices if you wish, but it's generally not required.

Click here to view our pricing or book a free consultation to discuss your project.

When should I submit my document to you?

Generally, editing and proofreading should be the very last step in your writing process. This ensures that you don't "undo" any editing work, or introduce new typos or grammar issues.

However, if your supervisor has specifically instructed you to get your work edited before submitting it to them for final review, you should follow their instructions. If you're unsure which approach to take, get in touch with us.

Can you edit my dissertation/thesis as I complete each chapter?

We can, but we don't recommend it . By editing chapter by chapter, consistency is reduced and there is a strong chance that there will be conflicts between document versions in terms of references, page, table and figure numbers, and so on. As a result, a lot of the work will be "undone" and you'll need to spend a lot of time revising and checking each section.

How much time should I factor in post-edit to make corrections?

We recommend that you factor in a day or two to make your final corrections after receiving your document back from us. This is not essential (as you can just accept all our edits "as is"), but it is a good idea to have a buffer in case you want to make any additions or revisions. You might also need to fix issues highlighted by the edit, e.g., regarding clarity of meaning or problems flagged with your referencing.

Can you do a second review of my document after the first edit?

We can review your document as many times as you need , but each review is charged separately. In other words, we cannot provide a second review (after we've edited and proofread) free of charge.

Can you check that my Conclusions and Recommendations represent all my findings?

This is beyond the scope of language editing, as it involves data analysis and interpretation. If you would like assistance with this, we can assist with 1-on-1 coaching , where we review your work critically and provide in-depth feedback (you can view a sample of this here ).

Can you write my abstract (or exec summary) for me?

No , we can't. As part of the editing process, we will improve the quality of your writing, but we cannot write any section for you. Having any section written for you would constitute academic misconduct.

Can you rephrase text to reduce my plagiarism score?

No , we can’t. While we may undertake some very light rewriting of poorly constructed sentences to improve readability and ease of understanding, we cannot revise content to reduce plagiarism, as we are not familiar with the articles/sources being referenced.

Can you arrange the separate sections of my document?

No , we cannot arrange (or rearrange) sections of content on your behalf, as this may impact the core meaning and/or the thread of argument.

That said, if we feel that a section could be structured better for clarity, we will comment on this and make suggestions. Additionally, we will check that your headings and subheadings are numbered sequentially and are consistent in style.

I still have questions…

No problem. Feel free to email us or book an initial consultation to discuss.

Still have a question? No problem – feel free to email us or book a consultation .

What our clients say

David's depth of knowledge in research methodology was truly impressive. He demonstrated a profound understanding of the nuances and complexities of my research area, offering insights that I hadn't even considered. His ability to synthesize information, identify key research gaps, and suggest research topics was truly inspiring. I felt like I had a true expert by my side, guiding me through the complexities of the proposal.

Cyntia Sacani (US)

I had been struggling with the first 3 chapters of my dissertation for over a year. I finally decided to give GradCoach a try and it made a huge difference. Alexandra provided helpful suggestions along with edits that transformed my paper. My advisor was very impressed.

Tracy Shelton (US)

Working with Kerryn has been brilliant. She has guided me through that pesky academic language that makes us all scratch our heads. I can't recommend Grad Coach highly enough; they are very professional, humble, and fun to work with. If like me, you know your subject matter but you're getting lost in the academic language, look no further, give them a go.

Tony Fogarty (UK)

So helpful! Amy assisted me with an outline for my literature review and with organizing the results for my MBA applied research project. Having a road map helped enormously and saved a lot of time. Definitely worth it.

Jennifer Hagedorn (Canada)

Everything about my experience was great, from Dr. Shaeffer’s expertise, to her patience and flexibility. I reached out to GradCoach after receiving a 78 on a midterm paper. Not only did I get a 100 on my final paper in the same class, but I haven’t received a mark less than A+ since. I recommend GradCoach for everyone who needs help with academic research.

Antonia Singleton (Qatar)

I started using Grad Coach for my dissertation and I can honestly say that if it wasn’t for them, I would have really struggled. I would strongly recommend them – worth every penny!

Richard Egenreider (South Africa)

Not convinced? Read more reviews and testimonials here .

Get A Quote For Your Project

Get an online quote in less than 60 seconds, or book a free, no-obligation consultation with a friendly Editing Specialist.

How Long is a Dissertation

How Long is a Dissertation? Concrete Answers

An undergraduate dissertation usually falls within the range of 8,000 to 15,000 words, while a master's dissertation typically spans from 12,000 to 50,000 words. In contrast, a PhD thesis is typically of book length, ranging from 70,000 to 100,000 words.

Let’s unravel the mystery of how long should a dissertation be. If you’ve ever wondered about this, look no further. Our comprehensive guide delves into the nitty-gritty of dissertation lengths across diverse academic realms. Whether you're a budding grad student, an academic advisor, or just curious, we've got you covered.

From Master's to PhD programs, we decode the variations in length requirements and shed light on disciplinary disparities. In general, dissertations are 150 to 300 words. But factors influence the length of these daunting scholarly requirements! But fear not as we break it down for you.

We’ll unveil the secrets behind dissertation writing, from how they reflect the depth and breadth of research to offering invaluable tips for planning and writing. So, if you're ready to demystify the daunting dissertation journey, hop on board! Let's navigate the labyrinth of academia together and empower you to conquer your scholarly aspirations.

Institutional guidelines on dissertation length

You can think of institutional guidelines as purveyors of academic excellence. Ever wondered why schools impose specific requirements like "Chapter 1: The Introduction must be at least 35 pages long and no more than 50 pages"?

It's not just about arbitrary rules! However, it's about striking the perfect balance between guidance and practicality. These guidelines serve as guardrails, steering students like you towards scholarly success without overwhelming faculty with endless pages to peruse.

Moreover, credibility is key here! A mere 8-page literature review won't cut it in the realm of academia. But fear not, for most institutions provide dissertation templates, complete with essential headings to streamline the process.

And for those seeking a helping hand, a dissertation writing service like ours stands ready to assist, ensuring your masterpiece meets the lofty standards of academic rigor. So, embrace the guidelines, weave your narrative, and let your dissertation shine with scholarly prowess.

Variations in dissertation length across academic disciplines

Dissertation length varies significantly across academic disciplines due to differences in research methods, data presentation, and writing conventions. Here's a general overview of how dissertation length can differ by discipline:

Humanities and Social Sciences: Dissertations in these fields tend to be longer because they often involve comprehensive literature reviews, detailed theoretical analyses, and extensive qualitative data. It's not uncommon for dissertations in history, literature, or sociology to exceed 200 pages.
Sciences and Engineering: Dissertations in the sciences and engineering might be shorter in terms of page count but are dense with technical details, data, charts, and appendices. They often range between 100 to 200 pages. However, the length can vary significantly depending on the complexity of the work and the requirements of the specific program.
Arts and Design: In creative disciplines, the dissertation might include a practical component (like a portfolio, exhibition, or performance) alongside a written thesis. The written component might be shorter, focusing on the conceptual and contextual analysis of the creative work, usually ranging from 40 to 80 pages.
Professional Fields (Business, Education, etc.): Dissertations in professional fields such as business or education often focus on case studies, practical applications, and policy analysis. These dissertations can vary widely in length but often fall in the range of 100 to 200 pages.

Dissertations vary in length due to many factors, which shows the diverse nature of academic research. Disciplinary differences are significant, as each field may have distinct expectations regarding the depth and scope of the study.

The type of analysis conducted, whether qualitative, quantitative, or a combination of both, also impacts the length.

For instance, qualitative studies may involve extensive textual analysis, resulting in longer manuscripts, while quantitative studies may require detailed statistical analyses. Additionally, the specific area of research within a discipline can also affect the length, as certain topics may necessitate more:

extensive literature reviews
data collection (e.g., fieldwork, surveys, interviews, lab work)
discussion sections

While the average length typically falls within the range of 150-300 pages, it's essential to recognize the nuanced factors contributing to variations in dissertation length. You must remain informed about the variables shaping your document's overall size and structure to deliver exemplary results.

Factors influencing the length of doctoral dissertations

Various factors determine the length of a dissertation, such as the specific guidelines set by universities, the type of research conducted, the extent of analysis required, and the presence of supplementary materials.

Several factors come into play when determining the ideal length of a dissertation. University guidelines set the tone, with institutions offering word count ranges typically between 8,000 to 15,000 words for undergraduates and masters and 75,000 to 100,000 words for PhD.

Yet, beyond these guidelines, the nature of your research holds sway.

Disciplines vary, with humanities favoring extensive literature reviews and scientific fields emphasizing methodological intricacies. Depth of analysis matters, too; a thorough exploration demands more space.

Balancing these elements ensures a well-rounded dissertation. So, as you embark on your scholarly journey, consider these factors carefully. By understanding them, you'll craft a dissertation that not only meets academic standards but also showcases your analytical prowess and depth of intelligence.

Length, components, and scholarly dedication

Many aspiring scholars think, "How long is a doctoral dissertation?" However, the answer isn't straightforward. Yes, length varies, but let's not forget to factor in a crucial element: time. And we know because many students have instructed us to “ write my dissertation !”

Remember, a dissertation isn't penned in one sitting. Rather, it often evolves from smaller academic chapters. This gradual process allows students to explore diverse topics before committing to a book-length project they're passionate about.

Beyond the central argument lie various components that contribute to the overall length. Take the literature review, for example—an essential segment that contextualizes the research by analyzing existing scholarship. Then there's the myriad of ancillary elements like the title page, acknowledgments, abstract, and appendix, each adding to the dissertation's page count.

It’s the accumulation of these parts that determines the length. So, while the answer may not be a precise number, it's crucial to acknowledge many elements that make up a doctoral dissertation. And for those embarking on this scholarly journey, we can help you conquer this challenge.

How Long is a Dissertation Chapter? Uncover the Mystery

When it comes to dissertation length, most grad students fret over how long each chapter should be. While there's no one-size-fits-all answer, there is a golden rule–chapters should be long enough to address the research question comprehensively.

Think quality over quantity! Ask any dissertation adviser, and they’ll say aiming to fill a predetermined number of pages shouldn’t be the goal. Rather, you must thoroughly explore your topic, conduct extensive research, and present your findings effectively.

Your writing style and the unique nature of your research also play pivotal roles. So, whether your chapter spans 50 pages or 150, ensure it's packed with substantive content that advances your study. Ultimately, it's not about hitting a page count but about delivering a high-quality scholarly contribution.

Writing an Excellent PhD Dissertation: Strategies and Tips

After you’re done pondering on how many pages should a dissertation be, you can move on with production. Wondering how to write a dissertation , here are some tips:

Start with a significant research topic that inspires you and formulate a clear research question.
Thoroughly review existing literature to contextualize your study.
Develop a robust methodology and collect comprehensive data.
Analyze findings meticulously and synthesize them effectively.
Ensure logical flow throughout your writing, striving for clarity and coherence.
Engage with other scholars, both peers and mentors, to refine your work.
Maintain consistency in formatting and adhere to academic standards.

Remember, with meticulous planning and dedication, you'll produce a dissertation that makes you and your mentors proud.

How long is a PhD dissertation?: The Conundrum

Do you belong to the list of students who feel bewildered about PhD dissertation length? Many wonder because of the length’s variability across disciplines and institutions. The general ballpark figure for a completed doctoral dissertation is typically between 150 to 300 pages. Yet, this can vary widely depending on factors such as:

field of study
research methodology used
individual institutional requirements
guidelines of mentors

Although there's no one-size-fits-all answer, understanding these variables can help you navigate the ambiguity surrounding dissertation length. And with proper planning, you can create an impressive output.

Frequently asked questions

How to properly plan and prepare for a long dissertation .

Thinking about how long is a dissertation for PhD stops students on their track. It can indeed be overwhelming when you think of the amount of work involved. But with proper planning, you can crush your goals. Here are some helpful tips:

Break down your work into manageable steps.
Define your research question clearly and set realistic milestones.
Create an outline to help you write. `
Have a schedule for research, writing, and revisions.
Stay organized with notes, citations, and references.
Seek feedback from advisors and peers throughout the process.

Remember, embrace the challenges you face as opportunities for growth!

Are supporting materials counted in the dissertation word count?

Worried about how long is a dissertation paper and if yours will make the cut? Remember, appendices, tables, and figures, while essential, aren't factored into the word count. So, you can incorporate these supplementary elements without concerns about exceeding word limits.

If you’re pressed for time, you can buy dissertation online . Just ensure to give appropriate instructions so the final output adheres to your institution's formatting guidelines. With these supporting materials appropriately included, your dissertation will be comprehensive.

Are there different types of dissertations?

When asking how long are dissertations, one of the first things to consider is the field of study. Various types of dissertations exist, often shaped by research methodology. It can be quantitative to qualitative studies or triangulation (a blend of both).

Instead of worrying about the length, determine your research approach—whether it's primary or secondary, qualitative or quantitative. This decision significantly impacts the depth and breadth of your investigation, ultimately influencing the expected length of your dissertation. By aligning your research methods with your academic goals, you'll gain clarity on the scope of your writing project.

Another aspect of the length of the entire document is the type of thesis - be it an undergraduate thesis, masters thesis, or thesis for an advanced degree, most dissertations for academic programs are lengthy. The more advanced the degree, the longer the thesis usually is.

Are dissertations just for PhDs?

How many pages in a dissertation is something most students worry about. But is a dissertation just for doctoral candidates? In some countries, dissertations are exclusive to PhDs. However, for other countries, the term “dissertation” is interchangeable with "thesis." Why so?

Because both are research projects completed for undergraduate or postgraduate degrees. Keep in mind that whether you’re pursuing a bachelor's, an MA, or a doctorate, dissertation writing demonstrates your research skills and academic proficiency.

Your doctoral degree, just like your graduate degree from a graduate school, shows you can successfully navigate the research process, theoretical framework, and dissertation defense. Sure, the scope of research was less focused while you were a graduate student with a master's thesis. Nonetheless, it shows consistent work and dedication.

How many chapters in a dissertation?

Still mulling over how long does a dissertation have to be and how many chapters you must write? Dissertations usually consist of five to seven chapters. These typically cover the following:

introduction
literature review
methodology

However, the structure can vary depending on your field of study and specific institutional guidelines. Each chapter plays a vital role, leading readers through your research journey, from laying the groundwork to presenting findings and drawing conclusions.

How do I find a reputable dissertation writer to help me?

Worried about how long are PhD dissertations? No need to worry. You can opt for professional help, and there’s no shame in that! Research for online platforms that specialize in academic writing services like our Studyfy team.

You can take a peek at our positive reviews and testimonials, showing our track record of delivering high-quality work. Choose a writer who possesses expertise in your field of study and can meet your specific requirements. Prioritize the following:

clear communication
appropriate instructions (from word count to deadlines)
transparency regarding pricing
upfront about revision policies.

By vetting potential writers and choosing a reputable service, you can secure the assistance of a reliable professional to guide you through the dissertation writing process.

8 Dissertation Editing Tips From a Professional Editor

Towards the end of your student journey come dissertations . Though they resemble research papers, they are longer and more tedious.

Dissertation editing tips and tricks can help you write, but dissertations test you in a lot of ways- right from when you are brainstorming questions and possible arguments, to collecting data from different sources, compiling it into a specific structure, and coming to a conclusion towards the end.

Dissertations demand long hours in front of a laptop, researching information and going over the analysis you have come up with. Not to forget, editing a dissertation. Editing is the last step in preparing a good dissertation.

It includes formatting, structuring, putting sentences in a logical order, cutting out unnecessary information, etc. Commence editing once you have completed the writing phase of your dissertation. Incorporate effective dissertation editing tips to refine and enhance your work.

Here is a dissertation editing tips for you, 1. create an appendix to include all the extra information.

Appendices are present in every research paper , academic piece , article , dissertation or thesis for the writer to be able to explain certain points in their dissertation in detail. However, these extra details are not directly connected to the dissertation or the findings and analysis. They are extra points that the reader might be interested in.

The reader chooses to refer to certain explanations provided in the dissertation appendix and does not read the rest. Elements that are not important to the dissertation need to go in the appendix for the precision of the answer to the question addressed in a dissertation.

2. Avoid repetition

As you write your dissertation, you may have written the same sentence in a few different ways in separate sections of your dissertation. Try to eliminate such repetitive sentences while editing. Avoid repeating points in every section.

Writing them systematically in proper order and numbering them will help you prevent repetition. Check words that you might be using again and again in your dissertation. Replace these words with words or phrases that are similar in meaning to them. This would make your dissertation less mundane and more interesting to read.

3. Dissertation formatting must align with the guidelines provided by your advisor or institute

As you format your dissertation, refer to the guidelines that are given by your advisor or institute. Use the proper text alignment, font, font size, color, heading, line, and paragraph spacing. Underline wherever needed and highlight the important points.

Citation formats also need to be adhered to while working on in-text citations in your dissertation. If you do not know how to create citations, use an online citation generator. The specific format (APA, MLA, and Chicago) would be available to you online.

4. Make sure you have covered all the sections and structured them well

A dissertation needs to have the necessary sections specified by your advisor or institute. As you edit your dissertation, make it a point to check each section thoroughly. Be careful not to miss out on a sub-heading or important point. The information provided should be in a logical order.

The reader should be able to follow the argument you are making while reading. This can be ensured by structuring each section properly. Write in a point-wise format and number the points. Put the sections in a logical order, starting with a title page, a table of contents, an abstract, an introduction, and going up to a conclusion, a bibliography, and appendices.

5. Check whether your ideas are expressed clearly

One of the most important steps in editing your dissertation is to go over the information you provide in it. This information should not just flow logically but also be explained with the written words. The ideas you are trying to put forth need to be explained as clearly as you can.

You can ask a friend or a peer to read your dissertation to make sure that you have explained each point well. The dissertation should be understandable even to those who have little knowledge about your field. Provide proper details wherever needed. The analysis and conclusion should be appropriate and well-formed.

6. Do not stretch your explanations

As you start checking your points, and mention all relevant details, make sure that you do not bombard your readers with too much. Explanations tend to go on and on if you do not cut them short after you have made your point. Try to stick to the necessary statements while you edit your dissertation. Do not go overboard with explaining something or dumbing down your points for a reader who is not well-versed in the concepts specific to the field.

Explain points as logically as possible, without the use of flowery language or complex words. Structure your explanations into points that are easily readable for a reader. Avoid lengthy descriptions of the context behind your study if there is no use for it in your findings. Be aware of the points you are trying to make in your dissertation.

7. Title and label throughout your dissertation

You must have included a variety of elements in your dissertation from graphs, tables, and charts to diagrams, lists, interviews, studies, etc. It is important to title each and every such element in order to avoid confusion on the part of the reader. You can mention or refer to the elements later in your dissertation much more easily if you label them.

This can be done while you edit your dissertation. Titles need to specify the relevance of an element to the study. It will be useful while referring to particular points in a specific section in the dissertation, either as the reader reads through the complete dissertation and/or when they go over the appendix.

8. Run a spelling and grammar check

One of the first things a reader or advisor will notice in your dissertation is your grammar. Spelling mistakes and grammatical errors get picked on. No one wants to lose marks just because of a misspelled word or inappropriately written sentences. While editing go over your dissertation and correct any such mistakes you come across.

Replace words, change sentence structure and make the dissertation readable. A lot of spell-check services are available online. You can enter your dissertation paragraphs there to check your spelling and grammar . Make the necessary changes before you submit your dissertation.

Follow the prescribed process for effective Dissertation editing tips. Refine thoroughly.

Start editing once you are done writing your dissertation
Prepare an appendix for all the extra information in your dissertation
Explain each point well and do not miss out on important points
Cut short unnecessarily long explanations
Choose words well and avoid repetition of words and phrases
Format your dissertation according to the guidelines given to you
Include necessary sections and structure your sections properly
Check spelling mistakes and grammar
Title and label elements
Refer and cite sources of information
Make sure the dissertation flows logically

To Conclude

Hope these dissertation editing tips and tricks help you in editing your dissertation ! Though the process of dissertation writing and editing a dissertation seems long and arduous, but you will understand the importance of it as you start working. Try not to edit for the sake of it.

Structuring and formatting are as important as the body of your dissertation. They need to be done well to make your dissertation impactful and worth reading. Follow our dissertation proofreading and editing guide to avoid losing marks on silly mistakes and to create a grade A dissertation! Do not forget to keep a checklist!

-Masha Evans

How to edit a PhD thesis (without going mad)

Jun 5, 2020

Your PhD thesis is the culmination of years of coursework and research and it can seem pretty overwhelming. Once you complete a draft, your work is far from over. Editing and proofreading are a significant part of your work on your dissertation, but after drafting your chapters, you might feel like you have no idea where to start editing.

This is where we come in. We’re going to walk you through the dos and dont’s of editing a dissertation thesis chapter to help the process seem less daunting. If you’re ready to learn about how to edit your PhD thesis, read on.

Do Walk Away and Take a Break

This might seem counterintuitive. You’re finished with a chapter and now you should walk away? The purpose of taking a break is to clear your head. Don’t just take a 10-minute break either. Take a whole day, maybe more if you can spare them, and then come back with fresh eyes and a cleared mind to begin editing.

Don’t Edit as You Write

You might be tempted to go back and edit after every few paragraphs or pages, but try to resist that urge. If you wait until you have an entire draft of a chapter ready, you will make things much easier on yourself.

If you can wait, you can then move entire sections, judge the quality of a paragraph or section in terms of the entire chapter, and have a better idea of the full picture of the chapter rather than just a small section.

Do Create a Plan

Before you start editing, have a plan. Start with one chapter (do not try to edit the entire dissertation at once) and lay out what you are looking for.

When you edit the first draft of your chapter, you should ask yourself questions as you go through it. You want to examine how it might be improved, what you need to add, what might need to be removed, and what might need to be moved to another section.

Set yourself up with a list of questions to ask yourself as you review each chapter. Yours might differ based on your discipline, but here are some general questions you can start with:

Whether it’s the introduction, literature review, results, or discussion and conclusion chapters, you had a purpose when writing them. That purpose should be clear at the beginning of the chapter and you should carry that through the entire chapter. Ask yourself:

What is the purpose of this chapter?
Did I make that clear? (i.e., is there a clearly stated purpose of the chapter at the beginning?)
Does this chapter and the material in it logically follow the previous chapter?
Are there places where things don’t fit or seem to come out of nowhere within the chapter?
Am I using adequate transitions between paragraphs and sections?
Have I used existing research to justify your process and/or explained that your research is the first on the topic?
Is the chapter well-organised and easy to read?
Have I appropriately used headings and subheadings to help the flow and organisation?
Do I have a strong conclusion that isn’t just a summary of the chapter and gives the reader an idea of the content of the next chapter?
Does the writing flow from section to section and chapter to chapter?
Have I established myself as an academic authority on the subject?
Can I make the writing more concise?

These questions are relevant for each chapter of your dissertation.

Your PhD Thesis. On one page.

Don’t proofread during the editing .

The editing step is focused more on big-picture items, not line edits. Sure, you can fix typos, but don’t worry too much about the small details. The thorough proofreading will come later.

You might even hire a professional proofreader to handle the line-item editing for you once your draft is finished and edited. Otherwise, the proofreading comes when the writing is done and the PhD is nearly complete.

Do Edit in Stages

The logical editing process is to focus on each chapter at a time. After each chapter is finished, you can edit it (after you’ve walked away from it a bit).

You can also choose to focus on one editorial issue at a time. For example, you could first go through to check for structure in one editing session and then check for purpose in another (this way is a bit more complex and you often find yourself focusing on everything in an editing session, so try a few different methods to see what works best for you).

Don’t Edit the Entire Thing at Once

Just like you need to walk away from a chapter and give yourself a break from it before editing, you also need to give yourself a break between editing sessions. The thought of sitting down to edit the entire dissertation, which could be several hundred pages, is probably extremely overwhelming. It’s enough to make someone procrastinate the editing process because it seems like such a daunting task.

Don’t do this to yourself! Instead, set goals. Decide how much you will edit in one day and stick to that. This will help you to manage your time and also make sure your eyes and mind are fresh as you edit. As you get fatigued from so much reading and editing, you’ll start to miss things.

You didn’t sit down to write the entire thing in one sitting, so don’t expect yourself to edit the whole thing in one sitting.

How to Edit a PhD Thesis Effectively

Unless you’ve written a dissertation before, chances are you are stuck on how to edit a PhD thesis chapter. Use these tips to make the editing process more manageable and less overwhelming. It’s a lot of work, but so is the writing process. You want your final draft to be the best it can be.

If you’re still stuck or overwhelmed, let one of our PhD-thesis proofreaders take on the editing process for you. Get in touch today to book your writing check-up.

Hello, Doctor…

Sounds good, doesn’t it? Be able to call yourself Doctor sooner with our five-star rated How to Write A PhD email-course. Learn everything your supervisor should have taught you about planning and completing a PhD.

Now half price. Join hundreds of other students and become a better thesis writer, or your money back.

Search The PhD Knowledge Base

Most popular articles from the phd knowlege base.

Frequently asked questions

How long does it take to write a dissertation.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions).
Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

To familiarise yourself with the current state of knowledge on your topic
To ensure that you’re not just repeating what others have already done
To identify gaps in knowledge and unresolved problems that your research can address
To develop your theoretical framework and methodology
To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

An undergraduate dissertation is typically 8,000–15,000 words
A master’s dissertation is typically 12,000–50,000 words
A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

Harvard referencing , the most commonly used style in UK universities.
MHRA , used in humanities subjects.
APA , used in the social sciences.
Vancouver , used in biomedicine.
OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

(Smith, 2019a)
(Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

Highlight all the entries
Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

Apply heading styles throughout the document.
In the references section in the ribbon, locate the Table of Contents group.
Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

In the company of
In the middle of
Surrounded by

Some synonyms and near synonyms of between include:

In the space separating
In the time separating

In spite of is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

Make certain

Some synonyms and near synonyms of assure include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
Avoid accidental plagiarism with our reliable Plagiarism Checker .
Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

Write the summary entirely in your own words by paraphrasing the author’s ideas.
Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

Copying and pasting a Wikipedia article into the body of an assignment
Quoting a source without including a citation
Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
Forgetting to cite the source of an idea

The most surefire way to avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

Prepare and organise your data.
Review and explore your data.
Develop a data coding system.
Assign codes to the data.
Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

Grounded theory involves collecting data in order to develop new theories.
Ethnography involves immersing yourself in a group or organisation to understand its culture.
Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
Phenomenological research involves investigating phenomena through people’s lived experiences.
Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions.
Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

A testable hypothesis
One or more independent variables that you will manipulate
One or more dependent variables that you will measure

When designing the experiment, first decide:

How your variable(s) will be manipulated
How you will control for any potential confounding or lurking variables
How many subjects you will include
How you will assign treatments to your subjects

There are four main types of triangulation :

Data triangulation : Using data from different times, spaces, and people
Investigator triangulation : Involving multiple researchers in collecting or analysing data
Theory triangulation : Using varying theoretical perspectives in your research
Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

Reduce bias that comes from using a single method, theory, or investigator
Enhance validity by approaching the same topic with different tools
Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

Only requires small samples
Statistically powerful
Removes the effects of individual differences on the outcomes

Disadvantages:

Internal validity threats reduce the likelihood of establishing a direct relationship between variables
Time-related effects, such as growth, can influence the outcomes
Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

Prevents carryover effects of learning and fatigue.
Shorter study duration.
Needs larger samples for high power.
Uses more resources to recruit participants, administer sessions, cover costs, etc.
Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

In single-stage sampling , you collect data from every unit within the selected clusters.
In double-stage sampling , you select a random sample of units from within the clusters.
In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

Convergent validity : The extent to which your measure corresponds to measures of related constructs
Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity , because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
Statistical generalisation: You use specific numbers about samples to make statements about populations.
Causal reasoning: You make cause-and-effect links between different things.
Sign reasoning: You make a conclusion about a correlational relationship between different things.
Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

Response variables (they respond to a change in another variable)
Outcome variables (they represent the outcome you want to measure)
Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

Explanatory variables (they explain an event or outcome)
Predictor variables (they can be used to predict the value of a dependent variable)
Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

If you have quantitative variables , use a scatterplot or a line graph.
If your response variable is categorical, use a scatterplot or a line graph.
If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

An explanatory variable is the expected cause, and it explains the results.
A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
Experimenter effects : Unintentional actions by researchers that influence study outcomes
Situational variables : Eenvironmental variables that alter participants’ behaviours
Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

The type of cola – diet or regular – is the independent variable .
The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

Discrete variables represent counts (e.g., the number of objects in a collection).
Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

The independent variable is the amount of nutrients added to the crop field.
The dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

It’s caused by the independent variable
It influences the dependent variable
When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

Structured interviews : The questions are predetermined in both topic and order.
Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
Unstructured interviews : None of the questions are predetermined.
Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

Open-ended and flexible
Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
Unambiguous, getting straight to the point while still stimulating discussion
Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

A positive correlation means that both variables change in the same direction.
A negative correlation means that the variables change in opposite directions.
A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

A control group that receives a standard treatment, a fake treatment, or no treatment
Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

Use masking (blinding) to hide the purpose of your study from all observers.
Triangulate your data with different data collection methods or sources.
Use multiple observers and ensure inter-rater reliability.
Train your observers to make sure data is consistently recorded between them.
Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

In a single-blind study , only the participants are blinded.
In a double-blind study , both participants and experimenters are blinded.
In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

First, the author submits the manuscript to the editor.
Reject the manuscript and send it back to author, or
Send it onward to the selected peer reviewer(s)
Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

If there is no sampling frame available (e.g., people with a rare disease)
If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones.

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

Reproducing research entails reanalysing the existing data in the same manner.
Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data .
A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

Construct validity : Does the test measure the construct it was designed to measure?
Face validity : Does the test appear to be suitable for its objectives ?
Content validity : Does the test cover all relevant parts of the construct it aims to measure.
Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

Budget constraints or any specifics of grant funding
Your proposed timeline and duration
Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
Any inclusion and exclusion criteria
Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

Reformulating the sentence (e.g., change active to passive , or start from a different point)
Combining information from multiple sentences into one
Leaving out information from the original that isn’t relevant to your point
Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

Paraphrasing is plagiarism if you don’t properly credit the original author.
Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
Paraphrasing is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

Changing the phrasing would distort the meaning of the original text
You want to discuss the author’s language choices (e.g., in literary analysis )
You’re presenting a precise definition
You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA recommends retaining the citations as part of the quote:

Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test and follow these guidelines:

The information should be up to date and current.
The author and publication should be a trusted authority on the subject you are researching.
The sources the author cited should be easy to find, clear, and unbiased.
For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

To analyse the author’s language (e.g., in a literary analysis essay )
To give evidence from primary sources
To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

Your instructor requires one, or
Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

Your anticipated title
Your abstract
Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

To help potential readers determine the relevance of your paper for their own research.
To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

The abstract should focus on your original research, not on the work of others.
The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

Researchability
Feasibility and specificity
Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

Common nouns and proper nouns
Countable and uncountable nouns
Concrete and abstract nouns
Collective nouns
Possessive nouns
Attributive nouns
Appositive nouns
Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

Deception: Hide the purpose of the study from participants
Between-groups design : Give each participant only one independent variable treatment
Double-blind design : Conceal the assignment of groups from participants and yourself
Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

Provide compensation (e.g., cash or gift cards) for attending every session
Minimise the number of follow-ups as much as possible
Make all follow-ups brief, flexible, and convenient for participants
Send participants routine reminders to schedule follow-ups
Recruit more participants than you need for your sample (oversample)
Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

Attributive adjectives
Predicative adjectives
Comparative adjectives
Superlative adjectives
Coordinate adjectives
Appositive adjectives
Compound adjectives
Participial adjectives
Proper adjectives
Denominal adjectives
Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

Julie is better than Jesse.
I’d rather spend my time with you than with him.
I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

I used to do laundry once a week.
They used to do each other’s hair.
We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of every time include:

Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

Regular verbs
Irregular verbs
Transitive verbs
Intransitive verbs
Dynamic verbs
Stative verbs
Linking verbs
Auxiliary verbs
Modal verbs
Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

A is used for words that begin with a consonant sound (e.g., a bear).
An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

‘The cat ate its food’.
‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

I used to be the new coworker.
There used to be 4 cookies left.
We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

Conveying the emotional state of the characters or the narrator
Creating an atmosphere or set the mood of a scene
Foreshadowing events to come
Giving texture and vividness to a piece of writing
Communicating emotion to the reader in a subtle way, by describing the external world.
Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

Nominal : the data can only be categorised.
Ordinal : the data can be categorised and ranked.
Interval : the data can be categorised and ranked, and evenly spaced.
Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

I am looking forward in hearing from you.
I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

Eagerly awaiting your response
Hoping to hear from you soon
It would be great to hear back from you
Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

I’m looking forward to hear from you soon.
I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”.

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”.

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb compose (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

Be composed of
Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of less relevant information e.g., pertaining to a single case, or a small number of cases
The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself. For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

By presenting only two options as if these were the only ones available
By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship.
Ask if the claim is based merely on the chronological order or co-occurrence of the two events.
Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include:

Believing that wearing your lucky jersey will help your team win
Thinking that everytime you wash your car, it rains
Claiming that playing video games causes violent behavior

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
Authority: It’s just a language model and is not considered a trustworthy source of factual information.
Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

Gives the tool a role to explain what type of answer you expect from it
Is precisely formulated and gives enough context
Is free from bias
Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

Follow this link to the ChatGPT website.
Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

Reproducing biases and false information
Using ChatGPT to cheat in academic contexts
Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

Following your institution’s guidelines
Critically evaluating outputs
Being transparent about how you used the tool

Ask our team

Want to contact us directly? No problem. We are always here for you.

Chat with us
Email [email protected]
Call +44 (0)20 3917 4242
WhatsApp +31 20 261 6040

Our support team is here to help you daily via chat, WhatsApp, email, or phone between 9:00 a.m. to 11:00 p.m. CET.

Our APA experts default to APA 7 for editing and formatting. For the Citation Editing Service you are able to choose between APA 6 and 7.

Yes, if your document is longer than 20,000 words, you will get a sample of approximately 2,000 words. This sample edit gives you a first impression of the editor’s editing style and a chance to ask questions and give feedback.

How does the sample edit work?

You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

Read more about how the sample edit works

Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

You send us your text as soon as possible and
You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the Scribbr Improvement Model and will deliver high-quality work.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

View an example

When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

You can learn a lot by looking at the mistakes you made.
The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
With a final read-through, you can make sure you’re 100% happy with your text before you submit!

You choose the turnaround time when ordering. We can return your dissertation within 24 hours , 3 days or 1 week . These timescales include weekends and holidays. As soon as you’ve paid, the deadline is set, and we guarantee to meet it! We’ll notify you by text and email when your editor has completed the job.

Very large orders might not be possible to complete in 24 hours. On average, our editors can complete around 13,000 words in a day while maintaining our high quality standards. If your order is longer than this and urgent, contact us to discuss possibilities.

Always leave yourself enough time to check through the document and accept the changes before your submission deadline.

Scribbr is specialised in editing study related documents. We check:

Graduation projects
Dissertations
Admissions essays
College essays
Application essays
Personal statements
Process reports
Reflections
Internship reports
Academic papers
Research proposals
Prospectuses

Calculate the costs

The fastest turnaround time is 24 hours.

You can upload your document at any time and choose between three deadlines:

At Scribbr, we promise to make every customer 100% happy with the service we offer. Our philosophy: Your complaint is always justified – no denial, no doubts.

Our customer support team is here to find the solution that helps you the most, whether that’s a free new edit or a refund for the service.

Yes, in the order process you can indicate your preference for American, British, or Australian English .

If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

Connor Bedard’s shift to wing based on Blackhawks’ current lines, not long-term position change

Coach luke richardson simply wanted to try bedard and jason dickinson together, and dickinson’s faceoff acumen and defensive skills made him the logical choice to center the line. nothing is cemented as far how long the new-look first line will last..

Connor Bedard played wing for the first time this season in the Blackhawks’ win over the Flyers on Saturday.

Matt Slocum/AP Photos

ELMONT, N.Y. — Rookie Connor Bedard skated on the wing Saturday and will do so again Tuesday.

The Blackhawks don’t intend for this to be seen as a long-term position change, however. As has been the case with many Bedard-related storylines this season, his shift from center to wing is being analyzed more deeply than it probably should be.

Coach Luke Richardson simply wanted to put his top three even-strength goal-scorers — Bedard (with 18), Jason Dickinson (also with 18) and Philipp Kurashev (with 11) — on a line together, and Dickinson was the most logical choice to center the trio.

Then the Hawks routed the Flyers 5-1 , giving Richardson no good reason to shuffle anything heading into the matchup Tuesday against the Islanders.

‘‘We just felt like [it was] three smart hockey players,’’ Richardson said. ‘‘It’s just to get a good look at it. I liked the result last game. Not only did they score a nice rush goal, they created a few other [rushes] that we showed this morning on video and were good in the [defensive] zone.

‘‘It’s not necessarily [a] long-term [thing] for Connor, being on the wing. It’s just sometimes where he starts out.’’

Assigned positions are most noticeable and cemented on faceoffs, and those are the situations where Dickinson’s presence should benefit Bedard most.

Dickinson has taken by far the most draws of any Hawks forward this season and has won 50.4% of them. Bedard, conversely, has won only 39% of his draws. Rookies universally struggle in this category, so Bedard’s poor percentage isn’t hugely concerning, but it does bother him.

‘‘It’s definitely something I need to get better at,’’ Bedard said. ‘‘There’s some games you feel good and some games you’re going 0-for-10. . . . It’s frustrating when you’re out there and you keep giving them possession.’’

Against the Flyers, Dickinson won eight of his 14 faceoffs; Bedard, meanwhile, didn’t take a single one for the first time all season. Because Bedard is a right-handed shot and Dickinson is a left-handed shot, however, they’ve been authorized to decide between themselves who should take faceoffs on the right side of the ice (Bedard’s strong side).

Dickinson’s defensive reliability also should help Bedard, who has been prone to miscues and breakdowns in his own zone, but that fact isn’t really related to their positions.

In the Hawks’ system, the first forward to get back into the defensive zone on the backcheck automatically assumes the ‘‘low man’’ role in their structure — whether that man is the center or not — even though that role traditionally is performed by the center. Then the second and third forwards back-protect the slot and provide support on the puck side, respectively.

Because Bedard often is occupied trying to make creative plays deep in the offensive zone, he’s rarely the first forward back, meaning he already is accustomed to assuming one of the defensive roles traditionally performed by wingers. That won’t change now. Having Dickinson as a linemate just covers for his weaknesses.

‘‘Dickinson makes it pretty easy,’’ Bedard said. ‘‘He’s one of the best players in his own end in the league. A lot of the time, I think we probably want him down there instead of me.’’

Positions in the Hawks’ system are similarly fluid on breakouts and rushes, so this switch also shouldn’t change things much for Bedard in that aspect.

‘‘Connor lots of times has the puck, and we like our puck-carrying guy to be in the middle and distributing pucks either way, so that works out for him,’’ Richardson said.

Bedard and Dickinson have spent about 37 minutes of five-on-five time together this season, 11 of which came Saturday. They might remain attached for the rest of the season, or they might get separated this week. Nothing about this experiment appears to be permanent.

Stay tuned for a lawsuit from Darbi Boddy over removal from Lakota Local Schools Board

Some say boddy got what she deserved for creating chaos in the district. others say her removal is another travesty of justice..

Darbi Boddy, a Lakota Board of Education member, organizes her papers during a Lakota Board of Education meeting on Monday, Nov. 6, 2023, at Lakota East Freshman High School in Middletown, Ohio.

The Lakota Local Schools Board of Education is interviewing candidates Monday, April 1, to fill Darbi Boddy's now-empty seat. Whoever is chosen will serve the remainder of her term through Dec. 31, 2025.

As the school board considers Boddy's replacement, people both in and outside of the 17,000-student district continue to debate the merits of her dismissal.

The Lakota School Board voted Boddy out of office on March 20 after having been absent from board meetings since Nov. 20, 2023 due to a civil stalking protection order. Under state law , school board members who are absent from board meetings for 90 days can be removed "if such absence is caused by reasons declared insufficient by a two-thirds vote of the remaining members of the board."

Three board members voted to remove Boddy, while Isaac Adi, who was granted the protection order against her, abstained. Boddy tried and failed several times to have the protection order requiring her to stay 500 feet away from Adi overturned.

Read the protection order here .

Here's what some Enquirer readers are saying about the situation.

Stay tuned for a lawsuit from Boddy over removal

I think Darbi Boddy has been much like my view of Donald Trump. I agree with many of her opinions/positions, but she goes about it in the most nasty, arrogant, mean-spirited way so most people don’t look beyond the bombast. That said, the reason for her termination is specious. Knowing that she could not be physically present at board meetings because of her restraining order, the board should have offered her the ability to participate via Zoom call-ins. If she refused that option, then a termination would have been appropriate. The path they took seems illegal because had she attended a meeting, she would have violated the court order to not be within 500 feet of her fellow board member. So she doesn’t attend, and they fire her due to her absences. Stay tuned for a legal challenge.

Paul Smith, Edgewood, Ky.

Boddy's dismissal had been building for a long time

If anyone thinks the Lakota School Board abused it's power, they should consider the following. Residents started a campaign to have her removed. The restraining order was argued in court, and she lost. Lynda O'Connor, who endorsed Boddy, quickly found herself at odds with her new board member. O'Connor was a long-serving, productive member, however, 10 past members, endorsed Doug Horton and Julie Shaffer. Horton and Shaffer won seats, O'Connor lost hers. The board could have kept Boddy, however, they understood the results of the election and, more importantly, wanted to actually get to work. This was not a rash decision. These wheels have been grinding for a long time.

John Bloomberg, West Chester Township

Removing Boddy was an abuse of power not 'poetic justice'

Darbi Boddy made no threat to fellow Lakota board member Isaac Adi whatsoever. She only criticized a public official. This is a constitutional right in America. For this, she had her First and Second Amendment rights restricted via the Butler County Courthouse. Then, they used this to remove a democratically elected official from their seat. There have been a handful of supposed violations of this unconstitutional and unprecedented protection order, and they are trying to impose a prison sentence. This is not "poetic justice." This is abuse of process to the fullest extent of the imagination.

Justin Rhine, Liberty Township

Boddy created nothing but chaos during tenure on Lakota School Board

Darbi Boddy was nothing but a disruption during her tenure on Lakota School Board. One of her first acts was to violate (break) a well-communicated, well-document rule that is in place to protect the safety of the students and staff. She entered a school unannounced and without an escort. She broke laws, violated policy and created nothing but chaos during her tenure. She failed to remember what she was elected to do − help the kids! Adios, Darbi.

Jerald Rosenston, West Chester Township

Boddy's removal another travesty of justice

The removal of Darbi Boddy is a perfect example of how the courts and laws of the land can be misused and abused. Now, all school boards and any other elected person can be removed from their position simply by staging an "assault," ( simply touching someone can now be considered such), filing a protection order and then making sure the person filing shows up at every meeting.

This can be used at most levels of government also. If an elected person cannot be present, they can be removed, no matter how "right" or "wrong" they are, as attendance requirements are in the by-laws in most charters.Like what is being done to Donald Trump, this is another travesty of justice by the immense and obvious abuse of the law.

David Clark, Mount Orab

Skip to main content
Keyboard shortcuts for audio player

Scientists are breeding 'super corals.' Can they withstand climate change?

Lauren Sommer

Ryan Kellman

Outside the city of Townsville, Australia a group of scientists is breeding 'super coral' in the hope that they might better withstand the ocean's record breaking heat levels and strengthen the Great Barrier Reef living just offshore. Ryan Kellman/NPR hide caption

Just after the full moon, Annika Lamb goes into work late at night. She puts on a headlamp with a red light and peers into large tanks of water in a marine science lab.

It's a special week. Inside the lab, corals with delicate branching arms are about to undergo a vital ritual. Only one night a year, they release eggs and sperm that fill the water like confetti and that will combine to create the next generation of reef builders.

"You're not really sure what's going to happen," Lamb says. "There's a lot of magic. There's a lot of unknown."

One way to save coral reefs? Deep freeze them for the future

Lamb is standing by patiently to scoop up the genetic bundles, in the hope that these corals hold the key to surviving an ocean that is rapidly heating up. She's part of a team at the Australian Institute of Marine Science, located on the east coast of Australia, that is breeding corals to endure an increasingly hostile planet – what some have nicknamed "super corals."

A team from the Australian Institute of Marine Science monitors coral spawning, which occurs only at night and just once a year. Marie Roman/AIMS hide caption

Since corals only spawn at night, the red headlamps help keep the lab dark. The lights seem like sultry mood lighting for the corals–and a red alert for climate change at the same time.

During spawning corals release their eggs and sperm, filling the water like confetti, which combine to create the next generation of reef builders. Marie Roman/AIMS hide caption

Australia's Great Barrier Reef, the largest in the world, is currently undergoing its fifth mass bleaching event in the last eight years. Corals bleach, turning a ghostly white color, when they're under stress from hotter temperatures. If the heat subsides, corals can recover. But long periods of heat and repeated marine heat waves cause corals to die, wreaking havoc on one of the most biodiverse ecosystems on the planet.

It's estimated that a quarter of all marine species depend on coral reefs. Biologists say that's a best guess, since life on reefs is so dense, it's very likely there are species yet to be discovered. Reefs are also vital for humans. Half a billion people depend on coral reefs for food, livelihoods and flood protection, since reefs can dissipate the power of waves hitting shore.

Although coral reefs take up only a small fraction of the ocean it's estimated that a quarter of all marine species depend on them. Ryan Kellman/NPR hide caption

Reefs are vital for humans. Half a billion people depend on coral reefs for food, livelihoods and flood protection, since reefs can dissipate the power of waves hitting shore. Ryan Kellman/NPR hide caption

If climate change continues at its current rate, the outlook for coral reefs is grim. Within a few decades, the world is expected to hit 1.5 degrees Celsius (2.7 degrees Fahrenheit) of warming on average, a threshold where the majority of the world's coral reefs are not expected to survive .

In the face of that threat, scientists around the world are searching for corals that can tolerate extreme heat better, selectively breeding them to help reefs adapt faster than nature could. The big question is how much time it will buy coral reefs, given how rapidly temperatures are rising.

"Coral reefs are amongst the most vulnerable of our ecosystems to climate change," says David Wachenfeld, research program director at the Australian Institute of Marine Science, just outside of Townsville, Queensland. "There are certainly very plausible future scenarios where, with the best science in the world, we won't be able to protect the Great Barrier Reef."

During coral bleaching the algae that live inside coral, providing them with food and their bright colors, are expelled from the coral, leaving them without their major food source. Renata Ferrari/AIMS hide caption

Putting corals to the test

The corals inside Annika Lamb's tanks are all contenders to help reefs survive, but not all of them are winners. They're labeled with a ranking, like athletes after a race. They're housed at the National Sea Simulator, a vast facility of tanks where scientists have figured out the art of keeping the delicate animals alive.

Annika Lamb looks over a tank of coral at AIMS that have been tested for their ability to handle heat. Ryan Kellman/NPR hide caption

These ranked corals have gone through tests, placed into hotter water to see how they perform. When ocean temperatures rise, it upsets the cornerstone relationship between a coral and the algae that live inside it. The algae give the coral its color, and they also photosynthesize, making food for the coral with energy from the sun. They're essentially the roommates that do the grocery shopping.

Under stress though, those algae get expelled, turning the corals white and leaving them without their major food source. Given enough time, corals can rebuild their algae and recover. But if conditions stay hot, corals will die.

Still, bleaching doesn't happen uniformly. Corals have different sensitivities to heat, even within the same species. Lamb is looking for the individuals who seem to be able to hack it better.

"We have 25 corals here that got ranked from number one, being our most resilient coral, all the way down to 25, which was our most thermally sensitive coral," she says, peering into the tank.

During spawning, Lamb and colleagues carefully scoop up the eggs and sperm from the corals and mix them in different combinations. Just days afterward, the tiny coral babies are swimming around in glass tanks, each group the result of a different pairing of moms and dads.

Still, creating a heat-tolerant "super coral" isn't as simple as combining the top-ranked parents. The babies of #1 and #2 could be rock stars when it gets hot, but they may fall short when it comes to other stressors a coral has to survive.

"Are they also able to withstand winter temperatures?" Lamb says. "Are they also able to compete with other corals on the reef? Can we maintain enough genetic diversity so that population has enough tools at its disposal to deal with different environments?"

Selective breeding has been used by humans for millennia on crops and livestock. Now, as the climate gets hotter, it's being used for conservation. Ryan Kellman/NPR hide caption

As a result, Lamb says they're trying out all combinations of parents. And once the babies grow, are putting them onto the Great Barrier Reef to see how they survive in the wild. Other corals they're testing out are being crossbred, where two different species are combined to create hybrids. The hope is to breed heat-tolerant corals that can one day be used to restore reefs as the damage from climate change gets worse.

Selective breeding is a technique that's been used by humanity for centuries, responsible for everything from the fruits and vegetables at the grocery store to the dogs and cats in our homes. It's been used much less in the field of conservation, but as the toll of climate change has become apparent, more biologists are looking into "assisted evolution."

"When we're talking about assisted evolution, we're trying to take those natural processes and speed them up, in the way that would naturally occur on the reef," Lamb says.

Coral larvae swim under a microscope.

Credit: AIMS

Super corals aren't a super solution

Many coral biologists cringe at the term "super coral" for a simple reason: no amount of biological tweaking can produce corals that will survive the future climate that humans are creating. Breeding corals is about buying extra time until humans can get climate change under control.

"We cannot just keep making the climate warmer, and it will all be okay because we can bioengineer everything," says Madeleine van Oppen, senior principal research scientist at AIMS who leads the coral breeding work. "So we really see this as an intermediate solution to try and not lose the reef until we deal with the climate."

The stakes became painfully clear in Florida and the Caribbean in 2023, when the ocean temperatures broke records. The heat was so intense, some corals died outright, even before they had the chance to bleach. Less than a quarter of one sensitive species, staghorn coral, was left alive. Some of the corals that were lost had been grown specifically to restore the reef.

Muhammad Azmi Abdul Wahab holds one of the devices that budding coral colonies are attached to before being placed in the ocean. Ryan Kellman/NPR hide caption

"In my mind, it brought home the message that we really need to restore with thermally-enhanced coral stock, because otherwise a lot of effort might be wasted," van Oppen says.

Still, some coral scientists worry that focusing on projects like coral breeding could harm the broader effort to rein in climate change.

"They send the subliminal message that the clever scientists can fix this, when in reality the only way we're going to fix it is by reducing greenhouse gas emissions," says Terry Hughes, coral scientist at James Cook University in Townsville, Australia.

Hughes says given the massive scale of the Great Barrier Reef, stretching over 1,000 miles, the amount of corals that could be grown in tanks onshore would only make up a tiny fraction of the reef. He says the most vital solution is ending the use of fossil fuels, like coal and oil, and switching to renewable energy.

"It's in our hands as a global society to determine the trajectory of the world's coral reefs and where it ends up," Hughes says. "There's still time to reduce greenhouse gas emissions very sharply."

The corals developed at AIMS are being tested in the ocean, placed by divers on the central Great Barrier Reef as part of a large field trial. Saskia Jurriaans/ AIMS hide caption

Before super corals can be used to restore reefs, they're being studied in small trials on the Great Barrier Reef. Eventually, regulators would need to determine if deploying them would pose any risk to the wild coral populations. And to grow huge numbers of them, massive aquarium facilities would need to be built.

"As scientists we can't just fix everything, but we can develop the tools for tomorrow that give reefs and the people that depend upon them the best fighting chance possible," Wachenfeld says. "And that's what gets me out of bed every morning."

Coral scientists know the clock is against them, given how rapidly the oceans are warming.

"It is sort of depressing when you get a year like this and you see so much mortality," van Oppen says. "You do worry: can we get there on time?"

coral reefs
Great Barrier Reef
climate change

Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

An undergraduate dissertation is typically 8,000–15,000 words
A master’s dissertation is typically 12,000–50,000 words
A PhD thesis is typically book-length: 70,000–100,000 words

Frequently asked questions: Dissertation

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.

Even if not mandatory, you may want to consider writing a thesis if you:

Plan to attend graduate school soon
Have a particular topic you’d like to study more in-depth
Are considering a career in research
Would like a capstone experience to tie up your academic experience

The conclusion of your thesis or dissertation should include the following:

A restatement of your research question
A summary of your key arguments and/or results
A short discussion of the implications of your research

The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

For a stronger dissertation conclusion , avoid including:

Important evidence or analysis that wasn’t mentioned in the discussion section and results section
Generic concluding phrases (e.g. “In conclusion …”)
Weak statements that undermine your argument (e.g., “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

Your anticipated title
Your abstract
Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

In most styles, the title page is used purely to provide information and doesn’t include any images. Ask your supervisor if you are allowed to include an image on the title page before doing so. If you do decide to include one, make sure to check whether you need permission from the creator of the image.

Include a note directly beneath the image acknowledging where it comes from, beginning with the word “ Note .” (italicized and followed by a period). Include a citation and copyright attribution . Don’t title, number, or label the image as a figure , since it doesn’t appear in your main text.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organized by page number.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

A glossary or “glossary of terms” is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

An abbreviation is a shortened version of an existing word, such as Dr. for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like PC, USA, or DNA), then you can use the abbreviated version from the get-go.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation , you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations that you used in your thesis or dissertation. It should appear at the beginning of your document, with items in alphabetical order, just after your table of contents .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and aren’t particularly common. They specifically aren’t required for APA-Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organized. Your educational institution may require them, so be sure to check their guidelines.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction .

You may acknowledge God in your dissertation acknowledgements , but be sure to follow academic convention by also thanking the members of academia, as well as family, colleagues, and friends who helped you.

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .

An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .

In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

In the discussion , you explore the meaning and relevance of your research results , explaining how they fit with existing research and theory. Discuss:

Your interpretations : what do the results tell us?
The implications : why do the results matter?
The limitation s : what can’t the results tell us?

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research , for each question or hypothesis , state:

The type of analysis used
Relevant results in the form of descriptive and inferential statistics
Whether or not the alternative hypothesis was supported

In qualitative research , for each question or theme, describe:

Recurring patterns
Significant or representative individual responses
Relevant quotations from the data

Don’t interpret or speculate in the results chapter.

To automatically insert a table of contents in Microsoft Word, follow these steps:

Apply heading styles throughout the document.
In the references section in the ribbon, locate the Table of Contents group.
Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract in the table of contents.

The abstract appears on its own page in the thesis or dissertation , after the title page and acknowledgements but before the table of contents .

An abstract for a thesis or dissertation is usually around 200–300 words. There’s often a strict word limit, so make sure to check your university’s requirements.

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

The acknowledgements are generally included at the very beginning of your thesis , directly after the title page and before the abstract .

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you must acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Ask our team

Want to contact us directly? No problem. We are always here for you.

Email [email protected]
Start live chat
Call +1 (510) 822-8066
WhatsApp +31 20 261 6040

Our team helps students graduate by offering:

A world-class citation generator
Plagiarism Checker software powered by Turnitin
Innovative Citation Checker software
Professional proofreading services
Over 300 helpful articles about academic writing, citing sources, plagiarism, and more

Scribbr specializes in editing study-related documents . We proofread:

PhD dissertations
Research proposals
Personal statements
Admission essays
Motivation letters
Reflection papers
Journal articles
Capstone projects

Scribbr’s Plagiarism Checker is powered by elements of Turnitin’s Similarity Checker , namely the plagiarism detection software and the Internet Archive and Premium Scholarly Publications content databases .

The add-on AI detector is powered by Scribbr’s proprietary software.

The Scribbr Citation Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Citation Generator in our publicly accessible repository on Github .

Trump promotes Lee Greenwood's 'God Bless The USA Bible': What to know about the book and its long journey

Former president Donald Trump encourages supporters to buy Lee Greenwood's "God Bless The USA Bible," a project inspired by Nashville country musician's hit song.
Resurgent version of Greenwood's Bible project a modified version from original concept, a change that likely followed 2021 shake-up in publishers.

After years with few updates about Lee Greenwood’s controversial Bible, the project is again resurgent with a recent promotion by former President Donald Trump.

“All Americans need to have a Bible in their home and I have many. It’s my favorite book,” Trump said in a video posted to social media Tuesday, encouraging supporters to purchase the “God Bless The USA Bible.” “Religion is so important and so missing, but it’s going to come back.”

Greenwood — the Nashville area country musician whose hit song “God Bless the USA” inspired the Bible with a similar namesake — has long been allies with Trump and other prominent Republicans, many of whom are featured in promotional material for the “God Bless The USA Bible.” But that reputational clout in conservative circles hasn’t necessarily translated to business success in the past, largely due to a major change in the book’s publishing plan.

Here's what to know about the Bible project’s journey so far and why it’s significant it’s back in the conservative limelight.

An unordinary Bible, a fiery debate

The “God Bless The USA Bible” received heightened attention since the outset due to its overt political features.

The text includes the U.S. Constitution, Bill of Rights, Declaration of Independence, Pledge of Allegiance, and the lyrics to the chorus to Greenwood’s “God Bless The USA.” Critics saw it as a symbol of Christian nationalism, a right-wing movement that believes the U.S. was founded as a Christian nation.

A petition emerged in 2021 calling Greenwood’s Bible “a toxic mix that will exacerbate the challenges to American evangelicalism.” From there, a broader conversation ensued about the standards by which publishers print Bibles.

Gatekeeping in Bible publishing

Greenwood’s early business partner on the project, a Hermitage-based marketing firm called Elite Source Pro, initially reached a manufacturing agreement with the Nashville-based HarperCollins Christian Publishing to print the “God Bless The USA Bible.”

As part of that agreement, HarperCollins would publish the book but not sell or endorse it. But then HarperCollins reversed course , a major setback for Greenwood’s Bible.

The reversal by HarperCollins followed a decision by Zondervan — a publishing group under HarperCollins Christian Publishing and an official North American licensor for Bibles printed in the New International Version translation — to pass on the project. HarperCollins said the decision was unrelated to the petition or other public denunciations against Greenwood’s Bible.

The full backstory: Lee Greenwood's 'God Bless the USA Bible' finds new printer after HarperCollins Christian passes

A new translation and mystery publisher

The resurgent “God Bless The USA Bible” featured in Trump’s recent ad is an altered version of the original concept, a modification that likely followed the publishing shake-up.

Greenwood’s Bible is now printed in the King James Version, a different translation from the original pitch to HarperCollins.

Perhaps the biggest mystery is the new publisher. That manufacturer is producing a limited quantity of copies, leading to a delayed four-to-six weeks for a copy to ship.

It’s also unclear which business partners are still involved in the project. Hugh Kirkman, who led Elite Service Pro, the firm that originally partnered with Greenwood for the project, responded to a request for comment by referring media inquiries to Greenwood’s publicist.

The publicist said Elite Source Pro is not a partner on the project and the Bible has always been printed in the King James Version.

"Several years ago, the Bible was going to be printed with the NIV translation, but something happened with the then licensor and the then potential publisher. As a result, this God Bless The USA Bible has always been printed with the King James Version translation," publicist Jeremy Westby said in a statement.

Westby did not have the name of the new licensee who is manufacturing the Bible.

Trump’s plug for the “God Bless The USA Bible” recycled language the former president is using to appeal to a conservative Christian base.

“Our founding fathers did a tremendous thing when they built America on Judeo-Christian values,” Trump said in his video on social media. “Now that foundation is under attack perhaps as never before.”

'Bring back our religion’: Trump vows to support Christians during Nashville speech

Liam Adams covers religion for The Tennessean. Reach him at [email protected] or on social media @liamsadams.

Are your allergies getting worse? It could be due to the affects of climate change on pollen

Experts say that symptoms of climate change are impacting the allergy season, especially as it relates to its affects on pollen.

“When the pollen season starts is determined by sunlight,” said Dr. Kathleen May, division chief of allergy immunology and pediatric rheumatology at the Medical College of Georgia at Augusta University. “Climate change could be shifting the peaks to start earlier. Especially depending on where you are in the country.

"The data is suggesting that the peaks are earlier even far north of here. So there's more of it and it's peaking earlier.”

May is also the program director for the allergy immunology fellowship.

The changing climate has caused shifts in precipitation patterns, more frost-free days, warmer seasonal air temperatures, and more carbon dioxide in the atmosphere, according to the Centers for Disease Control and Prevention.

These changes can affect:

When the pollen season starts, ends and how long it lasts each year.
How much pollen plants create and how much is in the air.
How pollen affects human health.
Some of these changes in pollen due to climate change could have major impacts on human health such as increasing individuals’ exposure to pollen and their risk of having allergy and or asthma symptoms.

“Your typical ragweed, a weed pollen active in the fall, has about 1 billion pollen grains,” said May. “There's evidence from some studies on ragweed that those plants are getting bigger and have more pollen when exposed to carbon dioxide.

"Plants obviously like carbon dioxide, they need it for growth. But it makes their pollen production more robust.”

May said determining when the allergy season starts can depend on the specific allergen.

“Certain parts of the country have mold more seasonally,” said May. “In Georgia, mold is a year-round issue and it is everywhere. It’s suppressed only when the temperatures go below freezing. The tree pollen season starts approximately during the last week of January and runs through, typically, April. The grass season typically starts in March, maybe February and runs through summer. If you're allergic to grass pollen you might experience symptoms for almost six months out of the year.”

Dr. Lily Hwang, with Atlanta Allergy & Asthma, said when calculating the pollen count the daily number represents the number of pollen grains in a cubic meter of air over the previous 24 hours.

“Spring pollen comes from the hardwood trees − oak, pine, birch, sweet gum, hickory, sycamore, hackberry, mulberry,” said Hwang. “In Georgia we have a much longer allergy season. Longer exposure leads to increase in symptoms due to being exposed to multiple phases of pollen from the initial exposure, priming effect, to the continued exposure leading to worsening symptoms.

“This is also due to the fact that Georgia has milder winters; therefore, plants don’t stay dormant for very long leading to prolonged exposure.”

Goldenrod or ragweed? : Wondering what's causing you to sneeze this fall? It could be one of these plants.

Some allergy symptoms

“Allergy symptoms are fairly broad,” said May. “The nasal symptoms are going to be sneezing, itching, congestion, postnasal drainage, those are the classic symptoms. You can get eye itching, redness and swelling. Some people will have skin itching with it and some eczema. Some people experience respiratory symptoms. They may even feel an itchy feeling in their chest.”

Treatment options

“If you’re going to be outside in the pollen, when you get home change your clothes and shower,” said May. “The thing people forget to do is use a nasal saline solution to rinse off your nose and get the pollen out. If you know you're going to have an issue with the tree season or grass season, it's best to start medicines about two weeks in advance.”

This reporting content is supported by a partnership with several funders and Journalism Funding Funding Partners.

Erica Van Buren is the climate change reporter for The Augusta Chronicle, part of the USA TODAY Network. Connect with her at [email protected] or on X: @EricaVanBuren32.

To revisit this article, visit My Profile, then View saved stories .

What Is Cinema?
Newsletters

Kyra Sedgwick's Secret to Her Decades-Long Relationship With Kevin Bacon: “We Got Lucky Really Young”

By Kase Wickman

Image may contain Kevin Bacon Kyra Sedgwick Electrical Device Microphone Adult Person Accessories Glasses and Desk

Ah, young love. So often, even if it doesn’t end badly (looking at you, Romeo and Juliet), it just ends, period, a season of life that passes. Not so for actors Kyra Sedgwick and Kevin Bacon , who have been married for longer than three decades and still seem to be as in love as they ever have been.

Last week, Sedgwick shared her secret to her longstanding partnership with the Footloose star and famed six-degrees party game subject. At the New York Women in Film and Television's Muse Awards in New York City, she told Page Six that there’s no strategy, just fate.

“We’re really lucky,” she said. “We got lucky really young.”

The two first met in the late ‘70s, a chance fan encounter in a New York City deli while Bacon was between performances of a Broadway show, wowing a younger Sedgwick. But it was when they filmed 1987’s Lemon Sky that they connected romantically, leading to their 1988 wedding. Sedgwick was 22 at the time, and Bacon 29. In 2022, Bacon shared what he claimed was “our first selfie” on Instagram , sharing an undated throwback pic (which, to be technical, is a portrait, not a selfie, due to neither of the subjects taking the photo itself) of his younger self, shirtless, cuddling up to Sedgwick.

Instagram content

This content can also be viewed on the site it originates from.

Sedgwick, now 58, said that her partnership with Bacon, 65, is charmed, but not effortless.

“You know it’s work, it’s always going to be work,” she said. “A partnership for that long demands a lot of you … I feel like a very lucky woman.”

Life has its ups and downs, and the two have faced plenty of both together. They have two children, 34-year-old Travis Bacon and 32-year-old Sosie Bacon , a combined film and TV credit list that could stretch for miles, and plenty of lessons learned by one another’s sides. In 2022, Kevin Bacon revealed that he and Sedgwick had at one point invested “most of our money” with notorious Ponzi scheme king Bernie Madoff. The couple recovered “a portion” of their funds in legal proceedings after the scheme was toppled, but not all. They took solace in one another and their family, he said, rather than “whining about money.”

“When something like that happens, you look at each other and you go, ‘Well, that sucks, and let’s roll up our sleeves and get to work,’” he said. “We’ve made it this far, our kids are healthy, we’re healthy, you know? Let’s look at what we have that’s good. We can still both work.”

Kase Wickman

Contributing editor, royal watch.

By signing up you agree to our User Agreement and Privacy Policy & Cookie Statement . This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Angelina Jolie’s 2004 Oscars Dress Stuns Again on Sydney Sweeney at Oscars 2024

By Kia D. Goosby

Margot Robbie, Robert De Niro, and More Mingle at Chanel and Charles Finch Pre-Oscars Dinner

By Paul Chi

How Gagosian’s Blockbuster LA Basquiat Show Happened

By Nate Freeman

Everything to know about the long, drawn-out race to succeed Mitch McConnell as Senate GOP leader

Mitch McConnell is stepping down from being Senate GOP leader after more than 17 years in the job.
The race to succeed him is already on, even though senators won't decide until November.
John Thune and John Cornyn are already campaigning for the job, but others could jump in later.

Mitch McConnell's reign as Senate Republican leader is set to end next January, capping off what will ultimately be an 18-year tenure — the longest of any Senate leader in American history.

Two men, among the "three Johns" who have long been viewed as potential successors to the Kentucky Republican, have already jumped into the race: Sens. John Thune and John Cornyn. But other candidates could emerge in the coming months, and the election isn't slated to happen until November.

Don't expect this race to bring kind of the public chaos that House Republicans have seen in the last year. The contest will take place behind closed doors, votes will be kept secret, and there's no such thing as a "motion to vacate" in the collegial upper chamber.

The race will, however, likely expose internal GOP divisions over the future of the party, and what it stands for. McConnell's penchant for bipartisanship and support for Ukraine aid in particular have rankled a small segment of GOP senators, and that cohort could be influential in determining who GOP senators succeed in November.

Here's what to know about the current and potential candidates.

Sen. John Thune of South Dakota

Thune, age 63, is currently the second-highest-ranking Republican senator.

As minority whip, Thune is officially in charge of taking the pulse of rank-and-file GOP senators and knowing how votes will break down ahead of time — a position that affords him relationships across the conference.

Altogether, Thune is the most McConnell-like of the current and potential leader candidates. He's worked closely with the Kentucky Republican and shares his views on both Ukraine aid and foreign policy more broadly.

As he's begun pitching himself to fellow GOP senators, he has said in interviews that he would represent a "new generation" of leadership — he's nearly two decades younger than McConnell — and will seek to empower individual members of the conference.

He could, however, have a problem with former President Donald Trump.

Thune endorsed Sen. Tim Scott of South Carolina when he ran for president last year, described Trump's conduct on January 6, 2021 as "inexcusable," and has been willing to criticize the former president over the last several years.

He was also relatively late in endorsing Trump, doing so in February long after it had become clear that he would be the party's presidential nominee.

While Trump won't be able to pick the next Senate GOP leader himself, Thune may be hoping that the former president doesn't get deeply involved in the race.

Sen. John Cornyn of Texas

Cornyn, 72, isn't currently in Senate GOP leadership — but he's got a lot of experience in that department.

The Texas Republican served as chairman of Senate Republicans' campaign arm, the National Republican Senatorial Committee (NRSC), from 2009 to 2013, then as the conference's whip from 2013 to 2019.

His biggest talking point, so far, is that the Senate is "broken," and that he has the experience to try to fix it. He has pledged to "restore the important role of Senate committees" and said there will be "no more backroom deals" if he becomes leader — a reference to the top-down way in which party leaders, including McConnell, have often run Washington.

Cornyn's most controversial proposal in that department has been term limits for the Republican leader, which already exist for other leadership posts.

One reason I am running to be the next Republican Leader is because I believe the Senate needs more engagement from all of my colleagues, and that includes the opportunity for any Member to serve in Leadership. I will support a conference vote to change the rules and institute… — Senator John Cornyn (@JohnCornyn) March 6, 2024

McConnell recently dismissed that idea, saying it would be "totally inappropriate" and that senators "ought to be able to be free to choose whoever."

Other possible candidates: Sens. Steve Daines of Montana or Rick Scott of Florida

Neither Daines, 61, or Scott, 71, have officially declared that they're running. But neither of them have said that they're not running either.

Both men are somewhat constrained from doing so at the moment: Daines is currently the chairman of the NRSC, and Scott is campaigning for his own reelection in Florida.

But Trump is reportedly a fan of Daines, which could give him a boost if he enters the race after the election in November.

How Republicans perform in this year's Senate races could also be a key factor. If they win the majority, Daines' stock rises. If they fail, he's probably out.

Scott, the previous NRSC chair, famously launched the first-ever challenge to McConnell in late 2022. He handily failed, winning just 10 votes, but he cemented his place as a leading figure among those who dissent from the Kentucky Republican's views.

Main content

IMAGES

A Detailed Overview Of How Long Is A Dissertation?
How To Write A Dissertation Or Thesis (+ Examples)
Dissertation Editing Services by PhD Editors
How Long Is A Dissertation
How to Write a Good Dissertation: Full Guide for Beginners
How to Edit Your PHD Thesis or Dissertation by Thesis Proofreading Help

VIDEO

Dissertation Writing 101: Why You Have To Let Go #shorts
What Is Mixed Methods Research?
How Can I Easily Conduct a Pilot Study?
When you realize how long your dissertation has to be
What Is Qualitative Research?
Proofreading and Editing Services from WritePass

COMMENTS

advisor
I used to edit academic papers and our expected turnaround time depends on the word count. If your word count is around 4,000 words, I'd expect it to be edited and returned within about one week. If your word count is 50,000 words, then it will take a fair bit longer. For a short paper, I'd expect it back within two weeks.
The A-Z of Dissertation Editing: Standard Rates & Involved Steps
The standard dissertation editing rates are $25-$80 per 1,000 words, with a one-week turnaround time. On a per-word basis, the dissertation editing cost can range from $0.03-$0.12. The rate of dissertation editing depends on the level of editing you require, the complexity of your topic, and the experience level of your editor.
How to edit your dissertation
How to edit your dissertation. This article is more than 10 years old. ... Check all quotations are surrounded by quotation marks - double or single, as long as you are consistent throughout ...
Reworking and editing your dissertation
Reworking your first draft. Finishing your first draft is a milestone in the process of writing a dissertation. Until this point, your ideas may have been quite hazy, but now the real work can start in reorganising and refining your piece. Your supervisor's comments should provide you with a clear sense of how you can improve your work.
How to Edit a Thesis and Revise it Successfully
Tips for Successfully Editing and Revising Ph.D. Thesis. Take a break: Once you finish your thesis, give yourself a few days or a week to relax and recharge your energies before return to it with a refreshed perspective. Taking a break from your work can help you to approach it with fresh eyes. Pay attention to detail: Take time to carefully ...
How to Write a Dissertation: Step-by-Step Guide
Most dissertations run a minimum of 100-200 pages, with some hitting 300 pages or more. When editing your dissertation, break it down chapter by chapter. Go beyond grammar and spelling to make sure you communicate clearly and efficiently. Identify repetitive areas and shore up weaknesses in your argument.
Ten things I wish I'd known before starting my dissertation
4) Do not ask friends how much work they've done. You'll end up paranoid - or they will. Either way, you don't have time for it. 5) There will be one day during the process when you will freak ...
What Is a Dissertation?
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
The 8 Most Asked Questions About Dissertations
How long is a dissertation? Most dissertations are 100 pages or longer — roughly the length of a book. The specific length of your dissertation depends on the type of research, how much research exists in the field and similar factors. ... Write the dissertation. Edit the dissertation. Defend the dissertation. Each step involves weeks to ...
Scribbr's Dissertation Editing Services
Overuse of passive voice. Subjective or inflated language. For a more comprehensive edit, you can add one or multiple add-on editing services that fit your needs. ⏰ Deadline. Within 12 hours. 📄 Texts. Dissertations. ⭐️ Rating. 4.6 based on 3,553 reviews.
How to edit your dissertation: Some thesis editing tips
Editing your dissertation is one of the most important things you will do before it goes off to the examiner, which makes thesis editing and proofreading a crucial step. ... they look quite different in terms of process and in terms of how long it takes. But, in short, you will need to do both when the time comes to edit your draft.
Dissertation layout and formatting
Next go to "Page layout" and then "Breaks". Next, choose the submenu "Next page". Switch to the side, where the numbering should begin (in this case, page 2). In the edit mode of the header or footer, choose "link to previous", after that click on "Move to footer" and click on the "Link to previous" again.
Dissertation editing: How long does it take?
Developmental: 3-5 pages per hour. Content: 1-4 pages per hour. Line: 3-6 pages per hour. As you can see, there's quite a range. For example, a line edit of a pretty well written, 80-page proposal could be performed at 6 pages per hour, and completed in about 12-13 hours (total price: $1080-$1170).
Dissertation Editing & Proofreading Service (With Certificate)
Your All-In-One Solution. While many providers charge for editing and proofreading separately, our service includes both. This means we'll take care of the following: Fix typos, misspellings, punctuation issues and ensure consistency of your spelling format (e.g., UK or US English). Undertake light rewriting of poorly presented sentences, to ...
How Long is a Dissertation
An undergraduate dissertation usually falls within the range of 8,000 to 15,000 words, while a master's dissertation typically spans from 12,000 to 50,000 words. In contrast, a PhD thesis is typically of book length, ranging from 70,000 to 100,000 words. Let's unravel the mystery of how long should a dissertation be.
8 Dissertation Editing Tips From a Professional Editor
Here is a dissertation editing Tips for you. 1. Create an appendix to include all the extra information. 2. Avoid repetition. 3. Dissertation formatting must align with the guidelines provided by your advisor or institute. 4. Make sure you have covered all the sections and structured them well.
25 Dissertation Editing Tips From a Professional Editor
Others are looking for you to show your depth of knowledge and your ability to connect areas. 9. Language use in your subject area. Within your subject area, your academic discipline, there will be a lot of very specific language. As a dissertation writer, you are likely well aware of this already.
How to edit a PhD thesis (without going mad)
Do Create a Plan. Before you start editing, have a plan. Start with one chapter (do not try to edit the entire dissertation at once) and lay out what you are looking for. When you edit the first draft of your chapter, you should ask yourself questions as you go through it. You want to examine how it might be improved, what you need to add, what ...
How long does it take to write a dissertation?
This includes formulating an idea, doing the research, and writing up. A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.
Dissertation editing: How long does it take?
Open communication ensures a smooth flight. Remember, time is relative. The time you invest in editing is an investment in the quality of your work. A polished dissertation is like a well ...
Adapting a Dissertation or Thesis Into a Journal Article
Once a decision is made to convert your dissertation or thesis into a manuscript for submission to a journal, you will want to focus attention on adapting it for publication. By attending to brevity and focus, writing style, relevant literature review and data analyses, and appropriate interpretation of the results or findings, you can enhance ...
Connor Bedard's shift to wing based on Blackhawks' current lines, not
ELMONT, N.Y. — Rookie Connor Bedard skated on the wing Saturday and will do so again Tuesday. The Blackhawks don't intend for this to be seen as a long-term position change, however. As has ...
The Effects of Climate Change
Global climate change is not a future problem. Changes to Earth's climate driven by increased human emissions of heat-trapping greenhouse gases are already having widespread effects on the environment: glaciers and ice sheets are shrinking, river and lake ice is breaking up earlier, plant and animal geographic ranges are shifting, and plants and trees are blooming sooner.
Lakota Local Schools Board abused the law to get rid of Darbi Boddy
The Lakota School Board voted Boddy out of office on March 20 after having been absent from board meetings since Nov. 20, 2023 due to a civil stalking protection order. Under state law, school ...
Oceans are hitting record heat levels. Could 'super corals' cope?
If climate change continues at its current rate, the outlook for coral reefs is grim. Within a few decades, the world is expected to hit 1.5 degrees Celsius (2.7 degrees Fahrenheit) of warming on ...
How long is a dissertation?
How long is a dissertation? Dissertation word counts vary widely across different fields, institutions, and levels of education: An undergraduate dissertation is typically 8,000-15,000 words. A master's dissertation is typically 12,000-50,000 words. A PhD thesis is typically book-length: 70,000-100,000 words.
Trump Bible: Journey behind Lee Greenwood's 'God Bless the USA Bible'
A petition emerged in 2021 calling Greenwood's Bible "a toxic mix that will exacerbate the challenges to American evangelicalism." From there, a broader conversation ensued about the ...
Climate change affects when the pollen season starts, ends, experts say
0:04. 1:27. Experts say that symptoms of climate change are impacting the allergy season, especially as it relates to its affects on pollen. "When the pollen season starts is determined by sunlight," said Dr. Kathleen May, division chief of allergy immunology and pediatric rheumatology at the Medical College of Georgia at Augusta University.
Kyra Sedgwick's Secret to Her Decades-Long Relationship With Kevin
The two first met in the late '70s, a chance fan encounter in a New York City deli while Bacon was between performances of a Broadway show, wowing a younger Sedgwick.
Everything to know about the long, drawn-out race to succeed Mitch
Alex Wong and Kevin Dietsch/Getty Images. Mitch McConnell is stepping down from being Senate GOP leader after more than 17 years in the job. The race to succeed him is already on, even though ...

Study at Cambridge

Reworking and editing your dissertation

Reworking your first draft

Editing for style

Cutting words

Producing a final version

Search form

Related links

Keep in touch

How to Edit a Thesis and Revise it Successfully

Why Editing PhD thesis and Proofreading it is Essential

Tips for Successfully Editing and Revising Ph.D. Thesis

Related Posts

Essay Writing Basics: Strategies for PhD Success

Streamlining the Research Funding Journey With Researcher.Life’s GrantDesk

How to Write a Dissertation: Step-by-Step Guide

How to Write a Dissertation in 12 Steps

Choose a Topic

Conduct Preliminary Research

Read Secondary Literature

Write a Research Proposal

Research, Research, Research

Look for Dissertation Examples

Write Your Body Chapters

Meet With Your Advisor

Write Your Introduction and Conclusion

Edit Your Draft

Incorporate Feedback

Defend Your Dissertation

Frequently Asked Questions About Dissertations

How long is a dissertation?

What's the difference between a dissertation vs. a thesis?

Explore More College Resources

How to Write a Research Paper: 11-Step Guide

How to Write a History Essay, According to a History Professor

Ten things I wish I'd known before starting my dissertation

Most viewed

The 8 Most Asked Questions About Dissertations

1. What is a dissertation?

2. Why are dissertations so important?

3. Why do so many students struggle with the dissertation?

4. How long is a dissertation?

5. How do you write a dissertation?

6. When should you start writing a dissertation?

7. How do you cite a dissertation?

8. How do you choose a school for your dissertation?

Want to learn more about SNU's programs?

Subscribe to the SNU blog for inspirational articles and tips to support you on your journey back to school.

Adult Education

Online Degree Programs

Text With an Enrollment Counselor

Dissertation editing: How long does it take?

Word of warning

What is a sample edit?

Understanding types of dissertation editing

Developmental editing

Content editing

Line editing

How much does dissertation editing cost?

How to find the best dissertation editing services?

Copy short link

Your Writing, Expertly Edited

Your All-In-One Solution

What exactly you get

A perfectly edited document

A detailed plagiarism report

A polished conceptual framework

A certificate of editing

The Grad Coach Difference

Academic Writing Specialists

Combined Editing & Proofreading

Full Plagiarism Reporting

Frequently Asked Questions

Editing & Proofreading

Can I see an example/sample of your editing?

Will you sort out my references and citations?

Can you fix/build my table of contents?

Can you lower my word count?

Can you check my work for plagiarism?

How long does the editing and proofreading process take?