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After writing the whole report, dissertation, or paper, which is the hardest part, you should now create a cover page that suits the rest of the project. Part of the grade for your work depends on the first impression of the teacher who corrects it.

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Free editable templates for title pages

As you can see, it's simple to create cover pages for schoolwork and it won’t take much time. We recommend using the same colors on the cover as the ones you used for your essay titles to create a cohesive design. It’s also crucial to add the name and logo of the institution for which you are doing the essay. A visually attractive project is likely to be graded very well, so taking care of the small details will make your work look professional.

On Edit.org, you can also reuse all your designs and adapt them to different projects. Thanks to the users' internal memory, you can access and edit old templates anytime and anywhere.

Take a look at other options we propose on the site. Edit.org helps design flyers, business cards, and other designs useful in the workplace. The platform was created so you don't need to have previous design knowledge to achieve a spectacular cover page! Start your cover page design now.

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• Designing Essay Assignments

by Gordon Harvey

Students often do their best and hardest thinking, and feel the greatest sense of mastery and growth, in their writing. Courses and assignments should be planned with this in mind. Three principles are paramount:

1. Name what you want and imagine students doing it

However free students are to range and explore in a paper, the general kind of paper you’re inviting has common components, operations, and criteria of success, and you should make these explicit. Having satisfied yourself, as you should, that what you’re asking is doable, with dignity, by writers just learning the material, try to anticipate in your prompt or discussions of the assignment the following queries:

• What is the purpose of this? How am I going beyond what we have done, or applying it in a new area, or practicing a key academic skill or kind of work?
• To what audience should I imagine myself writing?
• What is the main task or tasks, in a nutshell? What does that key word (e.g., analyze, significance of, critique, explore, interesting, support) really mean in this context or this field?
• What will be most challenging in this and what qualities will most distinguish a good paper? Where should I put my energy? (Lists of possible questions for students to answer in a paper are often not sufficiently prioritized to be helpful.)
• What misconceptions might I have about what I’m to do? (How is this like or unlike other papers I may have written?) Are there too-easy approaches I might take or likely pitfalls? An ambitious goal or standard that I might think I’m expected to meet but am not?
• What form will evidence take in my paper (e.g., block quotations? paraphrase? graphs or charts?) How should I cite it? Should I use/cite material from lecture or section?
• Are there some broad options for structure, emphasis, or approach that I’ll likely be choosing among?
• How should I get started on this? What would be a helpful (or unhelpful) way to take notes, gather data, discover a question or idea? Should I do research? 

2. Take time in class to prepare students to succeed at the paper

Resist the impulse to think of class meetings as time for “content” and of writing as work done outside class. Your students won’t have mastered the art of paper writing (if such a mastery is possible) and won’t know the particular disciplinary expectations or moves relevant to the material at hand. Take time in class to show them: 

• discuss the assignment in class when you give it, so students can see that you take it seriously, so they can ask questions about it, so they can have it in mind during subsequent class discussions;
• introduce the analytic vocabulary of your assignment into class discussions, and take opportunities to note relevant moves made in discussion or good paper topics that arise;
• have students practice key tasks in class discussions, or in informal writing they do in before or after discussions;
• show examples of writing that illustrates components and criteria of the assignment and that inspires (class readings can sometimes serve as illustrations of a writing principle; so can short excerpts of writing—e.g., a sampling of introductions; and so can bad writing—e.g., a list of problematic thesis statements);
• the topics of originality and plagiarism (what the temptations might be, how to avoid risks) should at some point be addressed directly. 

3. Build in process

Ideas develop over time, in a process of posing and revising and getting feedback and revising some more. Assignments should allow for this process in the following ways:

• smaller assignments should prepare for larger ones later;
• students should do some thinking and writing before they write a draft and get a response to it (even if only a response to a proposal or thesis statement sent by email, or described in class);
• for larger papers, students should write and get response (using the skills vocabulary of the assignment) to a draft—at least an “oral draft” (condensed for delivery to the class);
• if possible, meet with students individually about their writing: nothing inspires them more than feeling that you care about their work and development;
• let students reflect on their own writing, in brief cover letters attached to drafts and revisions (these may also ask students to perform certain checks on what they have written, before submitting);
• have clear and firm policies about late work that nonetheless allow for exception if students talk to you in advance.
• Pedagogy Workshops
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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

• Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
• Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
• Is the thesis complex enough to require a whole essay's worth of argument?  
• Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
• Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
• picture_as_pdf Thesis

Choose Your Test

Sat / act prep online guides and tips, the 3 popular essay formats: which should you use.

General Education

Not sure which path your essay should follow? Formatting an essay may not be as interesting as choosing a topic to write about or carefully crafting elegant sentences, but it’s an extremely important part of creating a high-quality paper. In this article, we’ll explain essay formatting rules for three of the most popular essay styles: MLA, APA, and Chicago.

For each, we’ll do a high-level overview of what your essay’s structure and references should look like, then we include a comparison chart with nitty-gritty details for each style, such as which font you should use for each and whether they’re a proponent of the Oxford comma. We also include information on why essay formatting is important and what you should do if you’re not sure which style to use.

Why Is Your Essay Format Important?

Does it really matter which font size you use or exactly how you cite a source in your paper? It can! Style formats were developed as a way to standardize how pieces of writing and their works cited lists should look. 

Why is this necessary? Imagine you’re a teacher, researcher, or publisher who reviews dozens of papers a week. If the papers didn’t follow the same formatting rules, you could waste a lot of time trying to figure out which sources were used, if certain information is a direct quote or paraphrased, even who the paper’s author is. Having essay formatting rules to follow makes things easier for everyone involved. Writers can follow a set of guidelines without trying to decide for themselves which formatting choices are best, and readers don’t need to go hunting for the information they’re trying to find.

Next, we’ll discuss the three most common style formats for essays.

MLA Essay Format

MLA style was designed by the Modern Language Association, and it has become the most popular college essay format for students writing papers for class. It was originally developed for students and researchers in the literature and language fields to have a standardized way of formatting their papers, but it is now used by people in all disciplines, particularly humanities. MLA is often the style teachers prefer their students to use because it has simple, clear rules to follow without extraneous inclusions often not needed for school papers. For example, unlike APA or Chicago styles, MLA doesn’t require a title page for a paper, only a header in the upper left-hand corner of the page.

MLA style doesn’t have any specific requirements for how to write your essay, but an MLA format essay will typically follow the standard essay format of an introduction (ending with a thesis statement), several body paragraphs, and a conclusion.

One of the nice things about creating your works cited for MLA is that all references are structured the same way, regardless of whether they’re a book, newspaper, etc. It’s the only essay format style that makes citing references this easy! Here is a guide on how to cite any source in MLA format. When typing up your works cited, here are a few MLA format essay rules to keep in mind:

• The works cited page should be the last paper of your paper.
• This page should still be double-spaced and include the running header of your last name and page number.
• It should begin with “Works Cited” at the top of the page, centered.
• Your works cited should be organized in alphabetical order, based on the first word of the citation.

APA Essay Format

APA stands for the American Psychological Association. This format type is most often used for research papers, specifically those in behavioral sciences (such as psychology and neuroscience) and social sciences (ranging from archeology to economics). Because APA is often used for more research-focused papers, they have a more specific format to follow compared to, say, MLA style.

All APA style papers begin with a title page, which contains the title of the paper (in capital letters), your name, and your institutional affiliation (if you’re a student, then this is simply the name of the school you attend). The APA recommends the title of your paper not be longer than 12 words.

After your title page, your paper begins with an abstract. The abstract is a single paragraph, typically between 150 to 250 words, that sums up your research. It should include the topic you’re researching, research questions, methods, results, analysis, and a conclusion that touches on the significance of the research. Many people find it easier to write the abstract last, after completing the paper.

After the abstract comes the paper itself. APA essay format recommends papers be short, direct, and make their point clearly and concisely. This isn’t the time to use flowery language or extraneous descriptions. Your paper should include all the sections mentioned in the abstract, each expanded upon.

Following the paper is the list of references used. Unlike MLA style, in APA essay format, every source type is referenced differently. So the rules for referencing a book are different from those for referencing a journal article are different from those referencing an interview. Here’s a guide for how to reference different source types in APA format . Your references should begin on a new page that says “REFERENCES” at the top, centered. The references should be listed in alphabetical order.

Chicago Essay Format

Chicago style (sometimes referred to as “Turabian style”) was developed by the University of Chicago Press and is typically the least-used by students of the three major essay style formats. The Chicago Manual of Style (currently on its 17th edition) contains within its 1000+ pages every rule you need to know for this style. This is a very comprehensive style, with a rule for everything. It’s most often used in history-related fields, although many people refer to The Chicago Manual of Style for help with a tricky citation or essay format question. Many book authors use this style as well.

Like APA, Chicago style begins with a title page, and it has very specific format rules for doing this which are laid out in the chart below. After the title page may come an abstract, depending on whether you’re writing a research paper or not. Then comes the essay itself. The essay can either follow the introduction → body → conclusion format of MLA or the different sections included in the APA section. Again, this depends on whether you’re writing a paper on research you conducted or not.

Unlike MLA or APA, Chicago style typically uses footnotes or endnotes instead of in-text or parenthetical citations. You’ll place the superscript number at the end of the sentence (for a footnote) or end of the page (for an endnote), then have an abbreviated source reference at the bottom of the page. The sources will then be fully referenced at the end of the paper, in the order of their footnote/endnote numbers. The reference page should be titled “Bibliography” if you used footnotes/endnotes or “References” if you used parenthetical author/date in-text citations.

Comparison Chart

Below is a chart comparing different formatting rules for APA, Chicago, and MLA styles.

How Should You Format Your Essay If Your Teacher Hasn’t Specified a Format?

What if your teacher hasn’t specified which essay format they want you to use? The easiest way to solve this problem is simply to ask your teacher which essay format they prefer. However, if you can’t get ahold of them or they don’t have a preference, we recommend following MLA format. It’s the most commonly-used essay style for students writing papers that aren’t based on their own research, and its formatting rules are general enough that a teacher of any subject shouldn’t have a problem with an MLA format essay. The fact that this style has one of the simplest sets of rules for citing sources is an added bonus!

What's Next?

Thinking about taking an AP English class? Read our guide on AP English classes to learn whether you should take AP English Language or AP English Literature (or both!)

Compound sentences are an importance sentence type to know. Read our guide on compound sentences for everything you need to know about compound, complex, and compound-complex sentences.

Need ideas for a research paper topic? Our guide to research paper topics has over 100 topics in ten categories so you can be sure to find the perfect topic for you.

Christine graduated from Michigan State University with degrees in Environmental Biology and Geography and received her Master's from Duke University. In high school she scored in the 99th percentile on the SAT and was named a National Merit Finalist. She has taught English and biology in several countries.

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Essay and dissertation writing skills

Planning your essay

Writing your introduction

Structuring your essay

• Writing essays in science subjects
• Brief video guides to support essay planning and writing
• Writing extended essays and dissertations
• Planning your dissertation writing time

Structuring your dissertation

• Top tips for writing longer pieces of work

Advice on planning and writing essays and dissertations

University essays differ from school essays in that they are less concerned with what you know and more concerned with how you construct an argument to answer the question. This means that the starting point for writing a strong essay is to first unpick the question and to then use this to plan your essay before you start putting pen to paper (or finger to keyboard).

A really good starting point for you are these short, downloadable Tips for Successful Essay Writing and Answering the Question resources. Both resources will help you to plan your essay, as well as giving you guidance on how to distinguish between different sorts of essay questions. 

You may find it helpful to watch this seven-minute video on six tips for essay writing which outlines how to interpret essay questions, as well as giving advice on planning and structuring your writing:

Different disciplines will have different expectations for essay structure and you should always refer to your Faculty or Department student handbook or course Canvas site for more specific guidance.

However, broadly speaking, all essays share the following features:

Essays need an introduction to establish and focus the parameters of the discussion that will follow. You may find it helpful to divide the introduction into areas to demonstrate your breadth and engagement with the essay question. You might define specific terms in the introduction to show your engagement with the essay question; for example, ‘This is a large topic which has been variously discussed by many scientists and commentators. The principle tension is between the views of X and Y who define the main issues as…’ Breadth might be demonstrated by showing the range of viewpoints from which the essay question could be considered; for example, ‘A variety of factors including economic, social and political, influence A and B. This essay will focus on the social and economic aspects, with particular emphasis on…..’

Watch this two-minute video to learn more about how to plan and structure an introduction:

The main body of the essay should elaborate on the issues raised in the introduction and develop an argument(s) that answers the question. It should consist of a number of self-contained paragraphs each of which makes a specific point and provides some form of evidence to support the argument being made. Remember that a clear argument requires that each paragraph explicitly relates back to the essay question or the developing argument.

• Conclusion: An essay should end with a conclusion that reiterates the argument in light of the evidence you have provided; you shouldn’t use the conclusion to introduce new information.
• References: You need to include references to the materials you’ve used to write your essay. These might be in the form of footnotes, in-text citations, or a bibliography at the end. Different systems exist for citing references and different disciplines will use various approaches to citation. Ask your tutor which method(s) you should be using for your essay and also consult your Department or Faculty webpages for specific guidance in your discipline. 

Essay writing in science subjects

If you are writing an essay for a science subject you may need to consider additional areas, such as how to present data or diagrams. This five-minute video gives you some advice on how to approach your reading list, planning which information to include in your answer and how to write for your scientific audience – the video is available here:

A PDF providing further guidance on writing science essays for tutorials is available to download.

Short videos to support your essay writing skills

There are many other resources at Oxford that can help support your essay writing skills and if you are short on time, the Oxford Study Skills Centre has produced a number of short (2-minute) videos covering different aspects of essay writing, including:

• Approaching different types of essay questions  
• Structuring your essay  
• Writing an introduction  
• Making use of evidence in your essay writing  
• Writing your conclusion

Extended essays and dissertations

Longer pieces of writing like extended essays and dissertations may seem like quite a challenge from your regular essay writing. The important point is to start with a plan and to focus on what the question is asking. A PDF providing further guidance on planning Humanities and Social Science dissertations is available to download.

Planning your time effectively

Try not to leave the writing until close to your deadline, instead start as soon as you have some ideas to put down onto paper. Your early drafts may never end up in the final work, but the work of committing your ideas to paper helps to formulate not only your ideas, but the method of structuring your writing to read well and conclude firmly.

Although many students and tutors will say that the introduction is often written last, it is a good idea to begin to think about what will go into it early on. For example, the first draft of your introduction should set out your argument, the information you have, and your methods, and it should give a structure to the chapters and sections you will write. Your introduction will probably change as time goes on but it will stand as a guide to your entire extended essay or dissertation and it will help you to keep focused.

The structure of  extended essays or dissertations will vary depending on the question and discipline, but may include some or all of the following:

• The background information to - and context for - your research. This often takes the form of a literature review.
• Explanation of the focus of your work.
• Explanation of the value of this work to scholarship on the topic.
• List of the aims and objectives of the work and also the issues which will not be covered because they are outside its scope.

The main body of your extended essay or dissertation will probably include your methodology, the results of research, and your argument(s) based on your findings.

The conclusion is to summarise the value your research has added to the topic, and any further lines of research you would undertake given more time or resources. 

Tips on writing longer pieces of work

Approaching each chapter of a dissertation as a shorter essay can make the task of writing a dissertation seem less overwhelming. Each chapter will have an introduction, a main body where the argument is developed and substantiated with evidence, and a conclusion to tie things together. Unlike in a regular essay, chapter conclusions may also introduce the chapter that will follow, indicating how the chapters are connected to one another and how the argument will develop through your dissertation.

For further guidance, watch this two-minute video on writing longer pieces of work . 

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Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

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.

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.

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Graphic Essays and Comics

Overview   |   Recommended Software   |   Student-Made Examples   |   Other Examples   |   Instructional Video

A graphic essay (sometimes called a visual essay) uses a combination of text and images to explore a specific topic. Graphic essays can look like comics, graphic novels, magazines, collages, artist books, textbooks, or even websites. Graphic essays often first take the form of written essays and then have graphic elements added to enrich the reader experience. Unlike infographics, which also combine text and images, graphic essays are often more text-based and usually have a narrative arc or specific reading order.

Comics are a genre used to express ideas through images combined with text or other visual information. Comics can take the form of a single panel or a series of juxtaposed panels of images, sometimes called a strip. Text is conveyed via captions below the panel(s), or speech bubbles and onomatopoeias within the panel(s), to indicate dialogue, narration, sound effects, or other information. Graphic novels are often considered to be a longer form of comics, typically in book form.

A web-based graphic essay can take the form of a blog or a single page website, such as a Microsoft Sway page or an interactive Prezi. For Microsoft Sway and Prezi graphic essays, see the examples below. If you are creating a blog we recommend visiting the Web-Based Projects page .

Graphic Essay Design Tip: Graphic essays can take many forms, so we recommend being creative within the scope of your project! Get some help from DesignLab to brainstorm options and talk through the various tools available!

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Recommended Software

There are many different software programs that can be used to create graphic essays. Below is a list of the software that we recommend for making a graphic essay. We organized the software by category and put the software from top to bottom from best to worst. We recommend using a software you know well or learning the software well enough to establish an easy workflow, so you can spend less time troubleshooting and spend more time on your project. Check out our Software Support page for links to tutorials for all of these programs.

General Graphic Essay Software

Web-Based Graphic Essay Software

Comic-Specific Graphic Essay Software

Student-Made Examples

Print style graphic essay.

Becoming a Witness by Jessica Posnock

Creative Graphic Essay

Virtual Communication by Max Hautala   *Award Winning*

Curb Magazine (2012) by Journalism 417

Web-Based (Magazine) Graphic Essay

Curb Magazine (Current) by Journalism 417

Web-Based (Sway) Graphic Essay

Language Influences Culture, Thoughts, and Identity by Kristen Luckow   *Award Winning*

Dyslexia by Maria Swanke *Award Winning*

Other Examples

Web-based (blog) graphic essay.

Switch It Up: Graphic Essay by Amanda Zieba

Graphic Novel

Graphic Novels in the Classroom by Gene Yang

Instructional Video

Table of Contents

Collaboration, information literacy, writing process, design – the visual language that shapes our world.

• © 2023 by Joseph M. Moxley - University of South Florida

Design refers to much more than how something looks or works: Design is a powerful tool of communication that empowers writers, graphic designers, and product developers to reach their target audience at a viscera, visual level. Good design makes information easier to understand, more engaging, and more memorable. It creates emotional connections, influences perceptions, and shapes decisions. If your design is unappealing or confusing, you've lost your chance at engaging your audience in the 8 seconds they're willing to give attention to your work. The essay below defines design based on research and scholarship, explores the importance of design in our contemporary information ecology, and serves as an introduction to design resources @ Writing Commons.

What is Design?

Design , most conventionally, refers to how something looks or works . For instance, by any measure, the Apple iPhone is well designed: the colors it displays are brilliant; it fits in your pocket; it’s easy to use as a camera, a recording device, or phone; and it provides easy access to friends, music, and the internet.

Yet, design may refer to more than whether or not a text or product looks good or accomplishes its aims . For instance, d esign may also be defined as

• a social construct
• a form of visual language , a mode of human communication
• a signifier of identity and community
• a subject of study, an academic discipline, a catechism regarding usr, an interpretative framework , based on principles of design .

Related Concepts: Composition ; Composing Processes ; Design Thinking ; Gestalt ; Information Architecture ; Information Design ; Semiotics

Definitions of Design

1. design refers to how a text, application, or product looks or works.

“ Design is a fun word. Some people think design means how it looks. But of course, if you dig deeper, it’s really how it works.”  Steve Jobs

Design refers to the aesthetics and functionality of a text , application, or product—concepts often encapsulated under the banner of “look and feel.”

Aesthetics (Look): 

This dimension of design involves the visual, tactile, and sometimes auditory elements of a product or system. It encompasses attributes such as color , shape , texture , typography , and layout . In terms of a digital application, for example, the choice of icons , the color scheme , typography , and the overall user interface (UI) fall under aesthetic considerations. These elements contribute to the overall visual appeal and user experience.

Functionality (Works): 

This refers to the operational aspect of a design. It involves how well the product, application, or system serves its intended purpose. The functionality of a design is often evaluated based on its efficiency, effectiveness, and ease of use. In the case of a digital application, it would include aspects like navigation flow, load times, responsiveness, and overall usability.

In essence, the balance between aesthetics and functionality is key in design. A design that excels in both dimensions creates an engaging, user-friendly, and effective product or system. This outlook is crucial in fields like product design, web design, graphic design, and user experience (UX) design, among others.

For writers, d esign largely concerns

• the use of data visualizations and other elements of design and visual language
• the page design & scannability of a text .

2. Design is a Social, Historical Construct

Design, a social and historical construct, stands at the intersection of art, culture, history, and technology. It serves as a mirror to our collective intellect, reflecting our beliefs, history, and advancements. Each culture, each epoch has its unique interpretation and manifestation of design, thus weaving a rich, multifaceted tapestry of human creativity and evolution.

Art and Culture

Art and cultural norms seep deep into the core of design, infusing it with distinctive colors and patterns. Take, for example, the traditional Mexican design. Its bright geometric patterns symbolize the nation’s vibrant culture and rich historical narratives. It’s a testament to the cultural sensibilities that pervade design.

But look closer, and you see a paradox: despite periods of hardship and scarcity, Mexican people devoted resources to create opulent gold temples and intricate religious artifacts for the Catholic Church. This underscores design’s role as a reflection of cultural priorities and beliefs, sometimes extending beyond immediate practical needs.

Design reflects the dialogues , epistemologies , and circumstances of particular cultures and specific time periods. Consider, e.g., in the heart of the desert, the ancient Egyptians designed pyramids and temples that continue to astound us millennia later. These structures, built with an extraordinary precision that baffles modern engineers, stand as a testament to the design sensibilities of a civilization that existed over 4,000 years ago. Their hieroglyphic scripts and symbolic art formed a design language that communicated spiritual beliefs and pharaonic authority.

Fast forward to the Victorian era, characterized by its industrial growth and prosperity, and you see a markedly different design narrative. The Victorian designs embraced opulence and ornamentation, with an emphasis on detailing and a penchant for grandeur. This was reflected in their architecture, fashion, and even their typography.

In stark contrast, the 21st century has been marked by a shift towards minimalism in design. Embodying the mantra ‘less is more,’ modern design trends advocate simplicity and functionality. From the sleek lines of contemporary architecture to the user-friendly design of digital interfaces, the present-day design ethos emphasizes usability and clarity .

3. Design is a Form of Visual Language

Design refers to much more than how something looks or works. Design, at its core, is a sophisticated form of visual language . More than just aesthetically pleasing arrangements of elements, it holds the power to communicate, provoke thought, and stir emotions.

This communication occurs at a fundamental, prelinguistic level–as a form of felt sense . While conventional languages use words and syntax to convey meaning, design communicates through a rich vocabulary of visual elements: lines, shapes, colors, spaces, and typography. These elements are arranged using principles like alignment, balance, and contrast to create a cohesive visual message.

When the audience interacts with a design, they are not just passively observing. They are actively ‘reading’ these visual elements and interpreting them. This interpretation often happens instinctively, tapping into our innate human capacity for visual perception. We are, as a species, highly attuned to visual information. Our brains are wired to recognize patterns, discern contrasts, and respond to visual stimuli.

Audiences read the design of a text or product just as they read words and sentences . Yet rather than words or sentences , they read design elements : They trace the line on the page or screen. They note the images, colors , shapes , contrast , spaces , and typography of the copy . They consider the alignment , balance , proximity , repetition of symbols. And then they interpret these symbolic elements to mean something. Their interpretation may be experienced as a form of felt sense of gestalt . In other words, they engage in acts of communication .

4. Design May Function as a Signifier of Identity and Community

In business, companies spend small fortunes defining their brand. They aim to distinguish their products and services. Thus, it’s fairly commonplace for business and nonprofit organizations to have style guidelines.

Typically style guidelines

• call for standard written English
• call for a professional writing style
• call for a particular citation style
• define logo, color, and photo-usage guidelines.

5. Design May Refer to a Curriculum, a Catechism, a Subject of Study

Design is an extraordinarily broad field, a convergence point where disciplines such as arts, engineering, sciences, and humanities intersect and engage in a dynamic discourse . Its interdisciplinary nature stems from the fact that design problems often require diverse perspectives and multi-faceted solutions. Hence, design isn’t just about aesthetics or usability; it’s about crafting solutions that reconcile functionality, sustainability, social impact, and user experience.

In academic settings, design manifests as a robust field of study, encompassing a broad spectrum of topics, including

• accommodation s(how designs cater to different user needs)
• aesthetics (the principles that guide visual harmony and appeal)
• information architecture (how information is organized and structured in a design),
• information design (how information is presented)
• usability (how user-friendly a design is).

Communities of Practice: Shaping the Design Landscape

Alongside academia, communities of practice contribute significantly to the evolution of design as a field. These communities, composed of practitioners and scholars, engage in rigorous scholarship and empirical research. Their primary objective is to enhance clarity in communication and improve design outcomes.

These communities continually shape the design landscape through the development of conventions and best practices. They respond dynamically to technological advancements and societal shifts, adapting design practices to better fit new paradigms. This iterative process of exploration, adaptation, and refinement is what keeps design relevant and effective in a rapidly changing world.

Through this ongoing conversation of humankind and the ever-evolving technological landscape, design continues to evolve, offering innovative solutions to both old and new problems. This is a testament to design’s versatile nature and its inherent capacity to adapt, innovate, and inspire.

Related Concepts

Writers, designers, and usability experts design texts and products by composing with design elements (e.g., Color – Color Theory ; Line ; Shape ; Space ; Typography ). Additionally, they consult their knowledge of design principles — (e.g., alignment ; balance ; color ; Contrast ; Emphasis ; Gestalt, Gestalt Theory ; Proximity ; Repetition ) in order to inform their compositions.

Recommended Books on Design

• Cooper, A., Reimann, R., Cronin, D., & Noessel, C. (2014). About face: The essentials of interaction design (4th ed.). Wiley.
• Krug, S. (2013). Don’t make me think, revisited: A common sense approach to web usability (3rd ed.). New Riders.
• Norman, D. (2013). The design of everyday things: Revised and expanded edition . Basic Books.
• Williams, R. (2014). Non-designer’s design book (4th ed.). Peachpit Press.

Why does design matter?

In 2023, we’re living in a world where attention spans are shrinking, digital content is proliferating, and consumer expectations are escalating. The average person spent around 6 hours and 42 minutes online every day, and this time is scattered across various platforms – social media, news sites, video streaming, online shopping, and much more. The explosion of digital content means people are inundated with information, choices, and distractions, making it harder than ever to stand out. In this context, excellent design isn’t just nice to have – it’s a necessary tool for survival. It’s a way to respect your audience’s time, to reward their attention, and to rise above the noise.

Related Articles:

Data Visualization - Information Visualization - The Art of Visualizing Meaning For Better Decision-Making

Design Principles - The Big Design Principles You Need to Know to Create Compelling Messages

Elements of Art - How to Leverage the Power of Art to Make Visually Compelling Documents

Elements of design – master the fundamentals of visual composition.

Page Design - How to Design Messages for Maximum Impact

Universal design principles - how to design for everyone.

Usability - How to Research & Improve Usability

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Review research and theory on the information visualization. Unlock the power of data visualization to make complex data accessible and engaging. Learn the art and science of transforming numbers into...

• Joseph M. Moxley

Principles of design refer to the discourse conventions, artistic traditions, and theories that inform the design of messages, products, and services.  P.A.R.C. refers to the four primary design principles (proximity,...

The Elements of Art (also known as The Elements of Design) refers to color, form, line, shape, space, texture, and value. Working as a gestalt that communicates with audiences at...

Page design refers to the strategic placement of information on a page or digital screen: Good page design can help you hook your readers’ curiosity and improve readability. Good page...

Universal design focuses on all potential users’ needs, abilities, and limitations. Rather than target a narrow user/customer segment, universal design values inclusivity: designers practicing universal design aim to make their...

Usability refers to the ease with which audiences can accurately interpret your message, understand your purpose, and navigate your information architecture. Whether you’re writing an essay, a research paper, or...

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An essay on design.

All the lights are off, save for the one on my desk. It casts a stark diagonal line separating the light and the dark across the keyboard where I type these words. I just put two ice cubes in a small glass and poured some Bulliet whiskey. I take a sip and sit down under the light.

There is a common phrase that goes writing about music is like dancing about architecture . I think Theloneous Monk said it. Or was it Elvis Costello? No one seems to really know for sure. Whoever it was, I think they meant that using one medium to discuss another medium never works—you can’t talk about one thing through another. The work must speak for itself. But it feels fitting to be writing this essay on design because I’ve started to see design and writing as the same thing—both of them are a way of forming ideas and giving ideas form. In fact, the Dutch word for designer is vormgever which translates literally to “form giver”.

I’m writing an essay on design but the more letters that appear before this blinking cursor, the more convinced I am that I don’t even know what design is anymore. I feel like it used to be easier to define. I remember when I was in high school and I discovered design and knew immediately that that is what I would do the rest of my life. I remember the first time I opened up Photoshop and the way my world changed after that. I remember my first college assignment—the first time I had to design something for a grade—and the feeling it gave me. I think back to these moments in search of clues, trying to find a definition for this thing called design .

The problem is the more I look for answers, the more questions arise. The more I try to narrow down a definition for design, the bigger it seems to get. I used to describe design by its parts—color, shape, form, typography—it was visual. Then I described it by the end result—a poster, a book, a website, a business card. You can define design both by its components and its finished product yet neither seem big enough to encapsulate everything design is.

It was in one of my first college classes that I heard that designers were problem solvers. I liked the sound of that—the idea that we find solutions for our clients’ needs—but it has somehow always felt to limiting and vague to me. Most professions involve problem solving. what makes that unique to designers? Designers like to use this definition to separate us from fine artists. We use it to say that we’re concerned with more than aesthetics but then we organize exhibitions of our work and pour over galleries and blogs displaying work completely removed from the context for which it was created. We try to have it both ways; we want to be a problem solver and an artist and end up being neither.

The melting ice is starting to water down the whiskey. I take another sip, feeling it move down my throat, and I realize I’ve been interested in design for almost a decade now. When I was just starting out—like many designers in my generation, I’d imagine—I wanted to make album covers. Some of my earliest work were covers and posters for my friends who were in bands. For a while, I wanted to art direct a magazine before realizing all the excitement was in websites. I had a brief interest in designing iPhone apps.

In school, I used my projects to explore things I was interested in. I designed a magazine about craftsmanship, made a logo for a fictitious Woody Allen museum, and after watching a documentary on factory farming, I made a series of posters on genetically modified foods. After I started listening to jazz, I designed a book about five jazz legends and deep into watching Lost , I made an annual report for the Dharma Initiative.

My interests and my “design style”—whatever that means—has changed a lot in those ten years and in looking back, I can better see that design was never the end. The one thing that hasn’t changed is that design has always been a way to explore my other interests—a vessel I can fill with whatever has my attention and help me better understand it. At the time, I thought the goal was to produce a book or a logo or an annual report but now, leaning back in my chair taking another sip of whiskey, I can see that those were just the byproducts—the result. Design wasn’t the end, it was simply the beginning. The design wasn’t found in its components or in the artifact but in the process—design became a form of inquiry .

If design is not the end, then design must be in the process, in the discovery. “The word building contains the double reality,” writes Stewart Brand in his book How Buildings Learn , “It means both the action of the verb build and that which is built —both verb and noun, both the action and the result...a building is always building and rebuilding.” The same is true of design—it can be both the the verb and the noun, the process and the result.

What, then, is a marker of good design? I start reflecting on process, on the verb design —instead of critiquing design on objects, products, or results, I am now forced to look at ways of thinking, approaches, and philosophies. I start looking through the books of my favorite designers and pour over the work that has shaped me and I find that good design reflexive—it provides an insight into its own creation, letting the viewer know how it was made. In writing about film, Rob Giampietro defined reflexivity as :

The degree to which the film is about its own making, to which it foregrounds its own construction, to which it deals with filmic qualities like nonlinear time, voyerism / observation, movement through space, montage, etc.

What does this look like for graphic design? How do we invite the viewer into our process and highlight its construction? Andrew Blauvelt, in his essay Towards a Critical Autonamy writes:

Graphic design, precisely because it is an instrumental form of communication, cannot divorce itself from the world. Rather graphic design must be seen as a discipline capable of generating meaning on its own terms without undue reliance on commissions, prescriptive social functions, or specific media or styles. Such actions should demonstrate self-awareness and self-reflexivity; a capacity to manipulate the system of design for ends other than those imposed on the field from without and to question those conventions formed from within.

He writes that design that is reflexive allows it to exist in the world while also challenging the notice of design itself. I’m reminded of the famous Roger Ebert quote, again using film as a definition for reflexivity: “A movie is not what it is about, it's how it is about it.” I think the same is true of design. Perhaps that means that regardless of the brief and the subject, design can be a way to explore the interests of the designer and in doing so, provide a look into its own making. Design as problem solving means that we follow a set of patterns and processes to find the one solution but a design that is reflexive sets out to discover those patterns and processes, creating multiple solutions.

By designing reflexively, the designer is not invisible; her point of view and her process are on display embedded within the work. In revealing its making, the designer invites the viewer into the process, revealing how we got there, and then, where it could go. Brian Eno said:

An important aspect of design is the degree to which the object involves you in its own completion. Some work invites you into itself by not offering a finished, glossy, one-reading-only surface. This is what makes old buildings interesting to me. I think that humans have a taste for things that not only show that they have been through a process of evolution, but which also show they are still a part of one. They are not dead yet.

Maybe that’s what I’m doing with this essay, too. I’m giving you an insight into its writing. Hello. Nice to see you. I pick up my glass for another sip.

Leonardo da Vinci supposedly said that “art is never finished, only abandoned.” I guess the same is true for design: a website is never finished, only launched. A poster is never finished, only printed. The process continues forever.

And maybe, then, an essay is never finished, only published. I don’t know if I’m done here. I take the last sip of my whiskey from my glass and I click the button on the screen in front of me that says POST.

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PaperHelp has very high customer service ratings, with a 4.7 out of 5 rating according to more than a thousand reviews as of April 3, 2024. Ease of use, quality of custom papers, and value for money are the most-cited reasons for the high ratings given to the company by undergraduate students.

We consider PaperHelp to be the best essay writing service in the United States and beyond due to the consistently high quality, originality, and value for money it provides to its customers.

The company allows the customer to be involved in the paper-writing process from its very beginning. You can get updates from the writer, review the essay while in progress, and request free revisions if needed. You get three revisions for free, which is usually more than enough to get the required result.

PaperHelp offers a variety of writing services, including essay, research paper, thesis, and dissertation writing for every level of academia.

In addition, PaperHelp gives plenty of bonuses and discounts for both new and regular customers. There is also a great loyalty program that enables students to save money on future orders, making it a good choice for resellers.

• Great value for money, affordable
• Suitable for most academic assignments, including Ph.D. papers
• Papers are always plagiarism-free
• Great loyalty program for regular customers and resellers
• Most essential extras are paid and expensive
• It takes quite some time to find a suitable writer for Master’s degree assignments

No matter the level of academia you are working in, PaperHelp can provide high-quality, original, written-from-scratch, plagiarism-free essays at a great value. We highly recommend PaperHelp to students as the top college essay writing service in the United States.

    2. BBQPapers — The Best Essay Writers, Premium Service

BBQPapers offers high-quality research papers and essays, plagiarism-free, and a high level of customer service. In addition, the company claims to have professional-level editors in the top 2% of academic excellence write and review your essays.

BBQPapers have a process whereby each paper is checked against the web and its own database for originality. BBQPapers also offers free revisions within ten days, accurate citations, professional editing, and a 60-day money-back guarantee.

BBQPapers offers incentives in the form of loyalty program discounts and a “pay as you go” zero-interest plan option for projects priced over $500. The company also offers standalone editing and proofreading services and custom services for odd academic assignments.

This service guarantees security and confidentiality to its customers and guarantees the quality of the papers it produces for students.

Pricing is around $6 per 100 words, with editing and proofreading priced separately as standalone services. This is a bit pricey for writing services in the United States compared to the others we reviewed.

• The best quality among all essay services, writers are Ph.D. and M.A. degree holders
• Extra long money-back guarantee (60 days)
• Pay as you go option for expensive papers
• 99% of the writers are native speakers of English
• Essential add-ons are free
• Prices are above average
• Writing samples are not available

Customer satisfaction with BBQPapers is high. Students appreciate the quality and security this essay service offers to them and have been largely pleased with the final results, garnering good grades for their submissions.

   3. MyAdmissionsEssay — The Best Service for Application Essays

Even though the name suggests that this company specializes solely in admission essays, this website offers writing assistance with various academic tasks to all levels of academics, from high school to Ph.D.

In addition, this professional essay writing service boasts a pool of diverse writers with a variety of language skills. Your paper will be written from scratch by a well-educated writer in that particular field of interest. College papers are delivered quickly, as soon as 3 hours turnaround time.

Students may give specific instructions and have access to the writer during the process, as well as opportunities for revision to get the paper edited to their satisfaction.

This company guarantees confidentiality, safety, and plagiarism-free original content written according to scholars’ instructions.

MyAdmissionsEssay has some great reviews on the site, but there are not many available. Customers appreciate the quality of the writing and the quick delivery times.

The pricing of this essay writer service is competitive and affordable, and the service offers 24/7 online support to its customers. The company’s online pricing table is transparent and easy to navigate.

• Best and affordable option for personal statements
• Professional editing & proofreading service
• Quick turnaround
• Truly confidential service
• Limited payment options, the service doesn’t accept PayPal
• Minor typos and grammar errors found in final product

This service seems best for personal statements and simpler essays. Some customers complain of minor mistakes or formatting errors, and students dislike the limited payment options offered by MyAdmissionsEssay.

   4. WritePaperForMe — The Cheapest Paper Writing Service

WritePaperForMe made our list because of its reputation as a truly cheap essay writing service with good quality and customer support.

This service provides the best value for money. If you’re a student on a budget, this is a great service to consider for a simple and original essay with fast delivery at an affordable price.

WritePaperForMe promotes customer-centered service with round-the-clock support as well as free revisions to get your paper exactly where you want it before you submit it. This essay writing company also offers complete confidentiality to college students using its essay services.

Using WritePaperForMe is safe because it has been rated 4.8 out of 5 stars for customer satisfaction, according to hundreds of customer reviews on SiteJabber and other review platforms. In addition, most reviews state that students received good results. Generally, quality and efficiency were also highly rated, but mostly with simple requests.

WritePaperForMe is a place where you can hire a cheap essay writer who is knowledgeable enough to write a short, simple essay that you just don’t have enough time to write yourself.

This site has hundreds of writers online and takes pride in the speedy delivery of good-quality papers. The WritePaperForMe website also provides quite a few essay samples listed by category. Students have free access to these essays and excellent customer support for ordering the perfect paper to suit their needs, regardless of topic.

Some customers complained that some of the writers struggled with research-intensive assignments like research papers and dissertations, but the general response to this service was positive.

• Quick and truly affordable
• Great customer service
• Might not be the best option for anything but essays
• Plagiarism report is a paid add-on

We would advise hiring a more professional paper writing service for more in-depth and important papers. WritePaperForMe might not be ideal if you need someone truly knowledgeable to work on your STEM research/term paper, thesis, or dissertation.

   5. GradeMiners — The Fastest Writing Service

This college paper writing service has gone through some changes over the last couple of years. With time, customer reviews of this site are becoming better and better.

GradeMiners is striving to improve its quality, and it shows. This academic writing company is getting high ratings for speedy delivery, updated satisfaction guarantees, and incentives for return customers.

Those incentives are now present in the form of daily discounts and exclusive email offers for return customers who sign up for the newsletter, something that wasn’t available back in the day.

In addition to academic writing services, GradeMiners also offers homework help and problem-solving assistance for high school and college-level students.

This service has fewer professional college essay writers than other sites, and the company generally employs ESL writers. This service offers writing in everything from academic papers to thesis and dissertations.

GradeMiners offers a money-back guarantee as well as free revisions for up to 30 days. The company received a 4.6 out 5 customer rating and claimed to deliver 70% of its orders earlier than the specified deadline.

In spite of claims, discounts, and guarantees, reviews on some services are mixed. Pricing is of great concern because there is no dedicated pricing table for services.

• Great option for rush orders and last-minute papers
• Extra long revision period of 30 days
• Writers are professional enough to handle most papers
• The prices are somewhat high
• Mostly ESL writers

Overall, GradeMiners prices out as a more expensive option than other comparable services. For some students, the trade-off for fast delivery makes it worthwhile.

   6. EssayPro — One of the Most Popular and Reliable Services

EssayPro offers features and perks that other essay writing websites do not. For example, it allows you to browse its writing staff and choose your own writer based on their academic qualifications, areas of interest and expertise, as well as past customer ratings and reviews.

Once you’ve chosen your paper writer, you have access to free unlimited editing, a free title page, and around-the-clock customer support.

EssayPro is certainly a legit essay writing website that offers professional services and has the best reputation for quality, security, and customer satisfaction.

In addition, the company guarantees confidentiality and anonymity so that no one ever knows that you outsourced your essay.

Some customers complain that this service is overpriced, but we found EssayPro to be quite competitive in terms of price. Papers with a shorter return time will be more costly. The more lead time you give, the more writers will garner you a break on the price.

Access to the writer during the process and unlimited editing capability make EssayPro one of the most highly regarded and popular college essay writing services out there.

• Popular and trusted site
• There’s an option to choose your writer yourself
• Round-the-clock support
• No phone support
• Isn’t the best option for theses and dissertations

To make its services affordable, EssayPro mostly hires ESL writers with excellent academic credentials, giving customers a pool of talent to choose from and making the best fit possible for the subject matter being addressed.

   7. EssayNoDelay — Legit Writing Service for ESL Students

EssayNoDelay is a reputable college essay writing service that comes highly recommended. It is an international company based in Bulgaria that employs hundreds of writers, most of whom are ESL.

The company provides excellent customer service via live chat and email. Turnaround times are fast for delivery, but customer service response to student emails can take up to a week, even for emergent requests.

This service, out of all the ones we reviewed, has the deepest discount for first-time customers and returning requests, but you can expect to pay significantly more for subsequent orders.

This online paper writer service has decent pricing but could do better by adding loyalty programs or better discounts for returning customers.

The quality of work from EssayNoDelay is generally good, and reviews are positive. This service boasts that 91% percent of its clients have returned to place more than 5 orders. Most complaints are with regard to minor grammatical or formatting errors in the work.

This company guarantees to provide an original, plagiarism-free paper, with a 100% money-back satisfaction guarantee on its work.

• The best loyalty program among other sites
• Good quality
• Mostly caters towards ESL students, it’s hard to find a writer from the U.S., the UK or Canada
• While first order is cheap, repeat orders are way more expensive

EssayNoDelay has proven to be a cost-effective custom essay writing service that provides professional writing assistance to students at all levels of academia.

Paper Writing Services: Common Questions, Answered

How long does it take to have my essay written for me.

Depending on your chosen service, your essay can be written within hours, days, or weeks. The longer the lead time you allow for some services, the deeper the discounts. You can expect to pay more for rush orders.

The complexity of the paper you order can also impact the turnaround time. If you need to monitor the process, make suggestions to the writer, edit the work, or request revisions after the paper has been produced, it will add time to the process.

We suggest you don’t wait too long to place your order, there are sometimes unexpected issues that can delay the delivery of your paper, and since deadlines and due dates in academia are mostly fixed, it’s up to the scholar to make sure there is enough time for the professional writer to complete the order including proofreading, editing, and revisions if required.

It’s recommended that you keep in contact with the writing service and the hired writer, in particular, to make sure that everything is to your satisfaction to avoid delays.

The responsibility falls to the student or scholar to ensure that essays are submitted to teachers and professors on time with all requirements met regardless of academic level.

Will my essay be written by a professional essay writer?

Some of the reliable essay writing services we have listed hire professional writers at all levels of academia.

Most services will allow the customer to choose the writer based on their field of expertise, academic credentials, and customer reviews posted on the website.

In addition, most websites enable the customer to select either a Native English speaker/writer or an ESL expert.

Some colleges consistently check students’ writing styles, so if you’re an ESL student, it makes sense to hire an ESL writer so that your paper only stands out a little from your own writing.

The most popular sites profile the college essay writers who are the most requested and most highly reviewed to promote them to customers.

Other services will assign the best essay writer based on the type of paper, subject matter, and level of academia needed to complete the task.

All of the services we reviewed guarantee their results and hire experts who are true professionals in their fields or have the academic experience to write with authority on the subject they specialize in.

Most of the services allow you to monitor the process. If communication is an issue, or if you are unhappy with the results, their guarantees allow you to substitute another professional to satisfy your requirements.

How much does it cost to purchase an essay?

If we’re talking about undergraduate writing assignments, the typical price for a single page is about $11-20. It usually varies depending on how fast you need your essay written. On average, a typical three-page college essay written in three days will cost you $50-110.

We advise you to be wary of some cheap essay writing services selling papers for prices lower than $9. While the price may seem appealing, it’s best to steer clear of such sites because they hardly ever deliver papers of subpar quality, let alone high-quality, plagiarism-free essays.

Is it safe to buy essays online?

Yes, you can be reasonably certain that buying papers and essays online through any of the academic writing companies that we have reviewed here will be safe and secure. By using any of these sites, your personal data will be kept confidential and fully protected.

Your school should never learn that you hired an online essay writer to produce a paper for one of your classes. This is a valid concern when employing a writing service to write a paper for you. The possibility that your teacher or professor will learn that you bought your paper online is small.

Here’s the thing. The only way these college paper writing services can continue to thrive and stay in business is to keep student data confidential and safe. Most of them post a security and confidentiality guarantee on their websites. Some students opt to give a pseudonym or merely their initials to help guarantee themselves anonymity.

The companies we mentioned in this review keep their databases secure and do not sell or share student data. In most cases, they have a customer satisfaction guarantee which covers security and quality.

If a company is offering a 100% money-back guarantee, you can wager that they are doing their utmost to avoid giving any refunds.

Are online essay writing services legit?

As with any kind of service you employ, it’s always a case of “buyer beware.” The responsibility falls on the customer to do their due diligence in choosing a reputable and honest and online essay writing service from which to purchase papers.

However, be wary of basing your decisions solely on customer reviews, as many of these companies are plagued by scores of negative reviews from scam sites provided by rival essay writing companies.

Look for well-established websites with a large pool of writers, and be sure to utilize the live chat feature that is on most of the websites, to ask the questions that are pertinent to your situation.

You want to be sure that you employ a writing service with professional paper writers who specialize in your field of study. At the higher levels of academia, you need to be sure that the writers have the academic experience and credentials to produce the quality level required for a thesis or dissertation.

When special formatting and citations are required, you will need to do diligent interviewing of your essay writer to be assured that they are able to produce the quality of content that you require.

What if I am not satisfied with my paper?

The majority of the services you will consider have a process whereby you get edits and revisions for free within a specified period of time after the completion of the work.

In some cases, future edits and revisions will be charged a fee.

Many services also offer a customer satisfaction guarantee which means that the expert essay writer you engage (that the service contracts with) promises to revise the finished product to your satisfaction, or you are entitled to 100% of your money back.

We understand that it rarely goes to that extreme. Most of the time, you will be able to obtain a final product to your satisfaction on the first try, even without asking for a revision.

If you want to achieve that, please provide the most descriptive order instructions that you can. This way, you can avoid the revision process and save yourself and your writer some time.

Part of making sure that the best outcome is to choose a writing service that employs proficient and professional essay writers in your area of study and that you give clear and explicit instructions as to the formatting, citation, and style of essay you require.

We also recommend that you check in regularly with your writer throughout the process so that you may be able to catch any issues that may arise and be able to correct them right away.

What are the main drawbacks of essay writing services?

The main drawbacks of using companies that write essays for you are the expense and the risk of discovery. While most essay writing services online are not too costly, getting into larger projects with extensive proofing and editing can become expensive, especially on a student’s budget.

While these sites generally guarantee security and confidentiality, there is always the chance that your professors/teachers may notice a change in the quality or style of your essays and figure out that you purchased the work rather than producing it.

The other drawback of using the services of essay writing websites is that you don’t benefit from the work the same way you would have if you had done the work.

If you are doing the research and the citations, you will be enriched by the process and gain knowledge in the subject from doing the work.

Using a writing service only gives you the benefit of the result, the grade, or the points you gain, rather than a more profound knowledge of the subject matter.

This has the potential to trip you up later in life when you may be called upon for that knowledge in your field of study and lack the expertise because you paid someone else to do the work.

Professional essay writing services fill a need in providing writing assistance to students at all levels of academia, but they should only be used infrequently and in urgent or timely situations where the student or scholar is unable to provide a quality essay on the subject assigned.

We understand that there are circumstances where a writing service can be a real lifesaver. Still, we caution students not to abuse these services or use them as a replacement for acquiring knowledge in their chosen field of study. Instead, when the need arises, choose a reputable service that guarantees good quality work.

The news and editorial staff of the Delco Daily Times had no role in this post’s preparation.

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Computer Science > Machine Learning

Title: generative ai for architectural design: a literature review.

Abstract: Generative Artificial Intelligence (AI) has pioneered new methodological paradigms in architectural design, significantly expanding the innovative potential and efficiency of the design process. This paper explores the extensive applications of generative AI technologies in architectural design, a trend that has benefited from the rapid development of deep generative models. This article provides a comprehensive review of the basic principles of generative AI and large-scale models and highlights the applications in the generation of 2D images, videos, and 3D models. In addition, by reviewing the latest literature from 2020, this paper scrutinizes the impact of generative AI technologies at different stages of architectural design, from generating initial architectural 3D forms to producing final architectural imagery. The marked trend of research growth indicates an increasing inclination within the architectural design community towards embracing generative AI, thereby catalyzing a shared enthusiasm for research. These research cases and methodologies have not only proven to enhance efficiency and innovation significantly but have also posed challenges to the conventional boundaries of architectural creativity. Finally, we point out new directions for design innovation and articulate fresh trajectories for applying generative AI in the architectural domain. This article provides the first comprehensive literature review about generative AI for architectural design, and we believe this work can facilitate more research work on this significant topic in architecture.

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Journal of Materials Chemistry A

Inverse design of experimentally synthesizable crystal structures by leveraging computational and experimental data †.

* Corresponding authors

a Institute of Atomic and Molecular Physics, Sichuan University, Chengdu 610065, China E-mail: [email protected]

b College of Physics, Sichuan University, Chengdu 610064, China

Crystal structure prediction (CSP) drives the discovery and design of innovative materials. However, existing CSP methods rely heavily on formation enthalpies calculated by density functional theory (DFT) and ignore the differences between DFT and experimental values, resulting in predicted structures that may be limited in experimental synthesis. To overcome these limitations, a novel collaborative approach was proposed for CSP that utilizes advanced deep learning models and optimization algorithms combined with experimental data. The formation enthalpies obtained from our approach are highly consistent with the actual experimental observations by transfer learning from the experimental data. By incorporating the experimentally synthesizable information of crystals, our approach is able to inverse design crystal structures that can be synthesized experimentally. Applying the model to 17 representative compounds, the results indicate that the approach can accurately identify experimentally synthesized structures with high precision. Moreover, the obtained formation enthalpies and lattice constants closely align with experimental values, underscoring the approach's effectiveness. The synergistic approach bridges the longstanding disparities between theoretical predictions and experimental results, providing guidance for experimentally synthesizing new materials and alleviating the demand for extensive and costly experimental trials.

• This article is part of the themed collection: Journal of Materials Chemistry A HOT Papers

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Inverse design of experimentally synthesizable crystal structures by leveraging computational and experimental data

C. Qin, J. Liu, S. Ma, J. Du, G. Jiang and L. Zhao, J. Mater. Chem. A , 2024, Advance Article , DOI: 10.1039/D4TA00725E

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Methodology

• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

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As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization 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, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

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

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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