psychology essay on research methods

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Exam Tips: How to write a research methods essay

Travis Dixon March 17, 2019 Research Methodology , Revision and Exam Preparation

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Updated Feb 2021

One of the most difficult of the five types of exam questions to write about in IB Psychology is research methods. Like most other essay questions, students tend to focus on studies and miss other important aspects of the essay. In this post, I offer my best tips for how to write an excellent essay on research methods.

What-How-Why

IB Psychology - Teacher Support Pack - Chapter 6: Quantitative Methods

Our unit on Quantitative Methods is designed to help students answer these challenging questions.

These three simple questions are an excellent guideline for most of the IB Psych’ course. Research methods essays are no different. You want to show you:

Know what the research methods are
Understand how and why they’re used

The following helps you figure out how to address these key questions. However, the structure and content of your answer will depend on the specific question you’re answering and the materials you’ve used in your course.

Exam tips for writing about research methods and ethics
Biological Research Methods Example Essay (ERQ)
How to explain the use of a research method

Step 1: What?

The first thing to get right is the definition . It’s really important to have a clear, precise and accurate definition of the research method/s you’re writing about. This could be either in the introduction or in the first body paragraph of the essay (i.e. the central argument). After defining the method, the explanation of how and why should begin.

Step 2: How?

Every essay answer should have a central argument that shows knowledge and understanding of the topic in the question (watch this video for more essay advice). In the case of research methods questions, the central argument should be an explanation of how and why the particular method is used in that particular topic . This is a key part of the answer that many students miss.

For example, if you’re explaining the use of a true experiment the “how” would include the nature of the independent variables and perhaps common ways the dependent variable is measured. For instance, in true experiments on the brain the IV is commonly a factor hypothesized to affect brain activity like chemical messengers such as serotonin and the effects of the manipulation of this IV on the brain is measured using fMRI.

Tip: A detailed central argument explaining how and why the method is used is the key to scoring top marks in the “knowledge and understanding” section of the essay rubric. Your explanation of the method would be identical in an SAQ and an essay.

Step 3: Why?

This is straightforward – give reasons why this method is useful. Weak answers will be generic, such as “true experiments are helpful because they can establish causal relationships.” Stronger answers will focus on specific details of the field of psychology in question. For instance, an essay on true experiments might focus on animal experimentation and the benefits of manipulating brain activity in rodents and animals in ways that couldn’t be done in humans but provide valuable additional information alongside human quasi experiments and correlational studies.

Scroll on for more exam tips.

DOWNLOAD Example Research Methods Essay

Common Error: What is a “method”?

One of the biggest mistakes a student can make in a research method essay is writing about a method that actually isn’t a “ research method .” For example, if a student wrote about animal studies, twin studies, or brain imaging technology as a research method they would score very low marks because these are not research methods (according to the IB).

To quote the official IB FAQs document, “…the different research methods for the study of psychology at this level: case studies, naturalistic observations, interviews, experiments, field experiments, quasi-experiments, natural experiments, correlations studies.” Therefore, make sure the method/s you are writing about is from this list.

Tip: Prepare to write about true experiments and/or correlational studies for Paper 1 and 2. These are used in every topic and it simplifies the preparation for this tricky question. Our IB Psychology Revision Textbook follows this approach.

Research Methods from the IB Guide

This screen shot of the online IB Psychology guide shows the list of “research methods” that you have to choose from.

Link to the topic!

A common weakness in research methods essays is they do not fully address the question by explaining the use of the method in relation to the approach or the topic in the question. A good way to check if the answer has applied the explanation to the topic is to read the explanation and see if it could also be true of any topic in IB Psychology. If it’s generic enough so it could be used across multiple topics, then the application needs to be clearer. Another even easier way to check is to see if the topic or approach is even mentioned at all in the explanation!

Explain studies, don’t just describe them!

Examiner’s reports always complain that “there’s too much description in essays”. This is actually the wrong complaint. A lot of description is great, but it needs to be matched with explanation . So the real critique should be “there’s not enough explanation in essays.”

So how do you go beyond describing so you’re explaining a study? The key is in the final 1-3 sentences after the results when you make it clear what the results show about the question, i.e. what conclusions are we drawing from those results?

In research methods essays, however, it’s a little different. Many students make the mistake of explaining what the results show about behaviour , whereas in research methods essays you need to explain how the study shows the use of the method . For example, if using a study that’s a true experiment you explain how the manipulation of the IV in a controlled environment enabled causal conclusions to be drawn, or why it was useful in a correlational study to show the strength of a relationship between the two variables in the study, etc.

Remember : In ThemEd’s three levels of learning, describing means to summarize individual things and explaining means to show how they’re related. In this type of essay, this means explaining how the procedures of a research method are applied in a particular topic (see the example essay for a demonstration of this being done).

Evaluate the method, not the studies

To show critical thinking in a research methods essay, it’s important you can explain strengths and limitations of the research method you are writing about. So when you’re evaluating the studies, it’s not a good idea to explain the limitations of the study (e.g. lacking generalizability) without focusing on how the methods are limited in some way.

For example, if I was writing about Loftus and Palmer’s car crash study to show the use of a true experiment to study cognitive processes, it would not be that relevant to the question to explain a limitation of the study based on the characteristics of the participants (e.g. they had limited driving experience) because this isn’t really linked to the true experimental method. A far better evaluative point to make is to explain that maybe these results in a controlled environment might not be reflective of what happens in real life, possibly due to the fact that in this scenario there were no consequences for a wrong answer and the level of emotion is much lower than when witnessing real crimes. These are better points to make because they are focused on a key aspect of the true experiment – the controlled environment.

When explaining limitations of correlational studies, don’t just say “correlational doesn’t mean causation” but actually provide examples. For example, how could the relationship work in both directions, or what are some other factors that might explain the relationship? For example, if I was critiquing the use of correlational studies to study personal relationships, I might say that correlational studies (e.g. Gottman and Levenson) that show a correlational between marital satisfaction and communication could be explained in either direction (what we call bidirectional ambiguity): it could be that poor communication is leading to decreased marital satisfaction (being unhappy in a marriage), or that being unhappy in the marriage is causing more poor communication.

Tip: Go beyond one sentence explanations of limitations like “ecological validity.” This post explains exactly how to explain limitations of ecological in detail.

Often a third variable can explain the connection between two variables in a correlational study, like in this example of crime and ice-cream. Explaining possible links like this is an excellent way of highlighting the limitations in correlational studies.

Study one method in depth

My advice to students is to prep true experiments and correlational studies, but for every topic they should choose one of these to prep in depth. This is because there is a good chance you might be asked to write an essay about just one method. For example, if the question was “Evaluate the use of one method to study emotion and cognition.” If you revised two or more methods for this topic, then that would have been a wasted effort. By preparing to write about one in-depth (and perhaps having a second with just one study as an example), you are best-prepared to write an excellent essay.

This post about why depth is better than breadth in IB Psychology might help clarify this point.

Tip: Use one method to critique the other. This is another reason why I like true experiments and correlational studies – their strengths and limitations can be used to evaluate one-anothers.

Discuss vs evaluate – what’s the difference?

There is none. While some teachers will argue that these command terms require different content, I argue (and can demonstrate) that this is simply not the case, especially when it comes to research methods. You can read more about this on this blog post.

One method or two?

A common question is “do quasi and true experiments count as one method or two?” The truth is no-one yet knows how the IB is going to mark this in the exams. It appears from the IB materials that they are considered two (see quote and image above). However, this is another reason why prepping correlational studies and true experiments is a good idea because they are clearly two separate methods.

Example Essay

You can read an example essay that (I hope) follows the advice given in this blog pots. This essay has been taken from the resources in the Quantitative Methods Teacher Support Pack. Even if you’re not teaching using our textbooks, this TSP would still be useful.

Note to students: This has been submitted to turnitin and will be known by your teachers, so it would be very unwise to try to submit this as your own work.

Example Questions

You might be asked about research methods in relation to any of the topics in the IB Psychology curriculum. For example, you might be asked to evaluate the use of one research method used in the study of the brain and behaviour. However, you would not be asked to discuss the method used to study neuroplasticity, since this is a sub-content point related to the broader topic. It’s possible that the question might be linked to the approach as well.

Remember that essay questions will be either discuss, evaluate, to what extent or contrast. It is unlikely that the “to what extent” command term will be used for a research methods essay (but not impossible) and it’s also unlikely that “contrast” will be used as well because it is more likely you’ll be asked to write about “one or more” methods. So here are some example essay questions:

Evaluate the use of one research method used to study cognitive processes.
Discuss how and why one research method is used to study cultural origins of behaviour.
Discuss the use of one or more research methods used to study genes and behaviour.
Evaluate the use of one or more research methods used in the biological approach to understanding human behaviour.
Evaluate the use of one or more research methods used to study etiologies of psychological disorders.
Discuss the use of one research method used to study personal relationships.

Check the IB Guide or your textbooks for a list of the topics in the course.

Good luck and I hope this post was helpful. Remember to check out our store to find the latest revision materials and resources.

Was this helpful? Feel free to leave questions and comments.

Travis Dixon is an IB Psychology teacher, author, workshop leader, examiner and IA moderator.

Research Methods in Psychology - 4th American Edition

(40 reviews)

Carrie Cuttler, Washington State University

Rajiv S. Jhangiani, Kwantlen Polytechnic University

Dana C. Leighton, Texas A&M University, Texarkana

ISBN 13: 9781999198107

Publisher: Kwantlen Polytechnic University

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Beth Mechlin, Associate Professor of Psychology & Neuroscience, Earlham College on 3/19/24

This is an extremely comprehensive text for an undergraduate psychology course about research methods. It does an excellent job covering the basics of a variety of types of research design. It also includes important topics related to research... read more

Comprehensiveness rating: 5 see less

Content Accuracy rating: 5

I did not notice any errors in this text.

Relevance/Longevity rating: 5

The content is very relevant. It will likely need to be updated over time in order to keep research examples relevant. Additionally, APA formatting guidelines may need to be updated when a new publication manual is released. However, these should be easy updates for the authors to make when the time comes.

Clarity rating: 5

This text is very clear and easy to follow. The explanations are easy for college students to understand. The authors use a lot of examples to help illustrate specific concepts. They also incorporate a variety of relevant outside sources (such as videos) to provide additional examples.

Consistency rating: 5

The text is consistent and flows well from one section to the next. At the end of each large section (similar to a chapter) the authors provide key takeaways and exercises.

Modularity rating: 5

This text is very modular. It is easy to pick and choose which sections you want to use in your course when. Each section can stand alone fairly easily.

Organization/Structure/Flow rating: 5

The text is very well organized. Information flows smoothly from one topic to the next.

Interface rating: 5

The interface is great. The text is easy to navigate and the images display well (I only noticed 1 image in which the formatting was a tad off).

Grammatical Errors rating: 5

I did not notice any grammatical errors.

Cultural Relevance rating: 5

The text is culturally relevant.

This is an excellent text for an undergraduate research methods course in the field of Psychology. I have been using the text for my Research Methods and Statistics course for a few years now. This text focuses on research methods, so I do use another text to cover statistical information. I do highly recommend this text for research methods. It is comprehensive, clear, and easy for students to use.

Reviewed by William Johnson, Lecturer, Old Dominion University on 1/12/24

This textbook covers every topic that I teach in my Research Methods course aside from psychology careers (which I would not really expect it to cover). read more

This textbook covers every topic that I teach in my Research Methods course aside from psychology careers (which I would not really expect it to cover).

I have not noticed any inaccurate information (other than directed students to read Malcolm Gladwell). I appreciate that the textbook includes information on research errors that have not been supported by replication efforts, such as embodied cognition.

Many of the basic concepts of research methods are rather timeless, but I appreciate that the text includes newer research as examples while also including "classic" studies that exemplify different methods.

The writing is clear and simple. The keywords are bolded and reveal a definition when clicked, which students often find very helpful. Many of the figures are very helpful in helping students understand various methods (I really like the ones in the single-subject design subchapter).

The book is very consistent in its terminology and writing style, which I see as a positive compared to other open psychology textbooks where each chapter is written by subject matter experts (such as the NOBA intro textbook).

Modularity rating: 4

I teach this textbook almost entirely in order (except for moving chapters 12 & 13 earlier in the semester to aid students in writing Results sections in their final papers). I think that the organization and consistency of the book reduces its modularity, in that earlier chapters are genuinely helpful for later chapters.

Organization/Structure/Flow rating: 4

I preferred the organization of previous editions, which had "Theory in Research" as its own chapter. If I were organizing the textbook, I am not sure that I would have out descriptive or inferential statistics as the final two chapters (I would have likely put Chapter 11: Presenting Your Research as the final chapter). I also would not have put information about replicability and open science in the inferential statistics section.

The text is easy to read and the formatting is attractive. My only minor complaint is that some of the longer subchapters can be a pretty long scroll, but I understand the desire for their only to be one page per subchapter/topic.

I have not noticed any grammatical errors.

Cultural Relevance rating: 3

I do not think the textbook is insensitive, but there is not much thought given to adapting research instruments across cultures. For instance, talking about how different constructs might have different underlying distributions in different cultures would be useful for students. In the survey methods section, a discussion of back translation or emic personality trait measurement/development for example might be a nice addition.

I choose to use this textbook in my methods classes, but I do miss the organization of the previous American editions. Overall, I recommend this textbook to my colleagues.

Reviewed by Brianna Ewert, Psychology Instructor, Salish Kootenai College on 12/30/22

This text includes the majority of content included in our undergraduate Research Methods in Psychology course. The glossary provides concise definitions of key terms. This text includes most of the background knowledge we expect our students to... read more

Comprehensiveness rating: 4 see less

The content I have read is accurate and error-free.

The content is relevant and up-to-date.

The text is clear and concise. I find it pleasantly readable and anticipate undergraduate students will find it readable and understandable as well.

The terminology appears to be consistent throughout the text.

The modular sections stand alone and lend themselves to alignment with the syllabus of a particular course. I anticipate readily selecting relevant modules to assign in my course.

The book is logically organized with clear and section headings and subheadings. Content on a particular topic is easy to locate.

The text is easy to navigate and the format/design are clean and clear. There are not interface issues, distortions or distracting format in the pdf or online versions.

The text is grammatically correct.

Cultural Relevance rating: 4

I have not found culturally insensitive and offensive language or content in the text. For my courses, I would add examples and supplemental materials that are relevant for students at a Tribal College.

This textbook includes supplemental instructor materials, included slides and worksheets. I plan to adopt this text this year in our Research Methods in Psychology course. I expect it to be a benefit to the course and students.

Reviewed by Sara Peters, Associate Professor of Psychology, Newberry College on 11/3/22

This text serves as an excellent resource for introducing survey research methods topics to undergraduate students. It begins with a background of the science of psychology, the scientific method, and research ethics, before moving into the main types of research. This text covers experimental, non-experimental, survey, and quasi-experimental approaches, among others. It extends to factorial and single subject research, and within each topic is a subset (such as observational research, field studies, etc.) depending on the section.

I could find no accuracy issues with the text, and appreciated the discussions of research and cited studies.

There are revised editions of this textbook (this being the 4th), and the examples are up to date and clear. The inclusion of exercises at the end of each chapter offer potential for students to continue working with material in meaningful ways as they move through the book and (and course).

The prose for this text is well aimed at the undergraduate population. This book can easily be utilized for freshman/sophomore level students. It introduces the scientific terminology surrounding research methods and experimental design in a clear way, and the authors provide extensive examples of different studies and applications.

Terminology is consistent throughout the text. Aligns well with other research methods and statistics sources, so the vocabulary is transferrable beyond the text itself.

Navigating this book is a breeze. There are 13 chapters, and each have subsections that can be assigned. Within each chapter subsection, there is a set of learning objectives, and paragraphs are mixed in with tables and figures for students to have different visuals. Different application assignments within each chapter are highlighted with boxes, so students can think more deeply given a set of constructs as they consider different information. The last subsection in each chapter has key summaries and exercises.

The sections and topics in this text are very straightforward. The authors begin with an introduction of psychology as a science, and move into the scientific method, research ethics, and psychological measurement. They then present multiple different research methodologies that are well known and heavily utilized within the social sciences, before concluding with information on how to present your research, and also analyze your data. The text even provides links throughout to other free resources for a reader.

This book can be navigated either online (using a drop-down menu), or as a pdf download, so students can have an electronic copy if needed. All pictures and text display properly on screen, with no distortions. Very easy to use.

There were no grammatical errors, and nothing distracting within the text.

This book includes inclusive material in the discussion of research ethics, as well as when giving examples of the different types of research approaches. While there is always room for improvement in terms of examples, I was satisfied with the breadth of research the authors presented.

This text provides an overview of both research methods, and a nice introduction to statistics for a social science student. It would be a good choice for a survey research methods class, and if looking to change a statistics class into an open resource class, could also serve as a great resource.

Reviewed by Sharlene Fedorowicz, Adjunct Professor, Bridgewater State University on 6/23/21

The comprehensiveness of this book was appropriate for an introductory undergraduate psychology course. Critical topics are covered that are necessary for psychology students to obtain foundational learning concepts for research. Sections within the text and each chapter provide areas for class discussion with students to dive deeper into key concepts for better learning comprehension. The text covered APA format along with examples of research studies to supplement the learning. The text segues appropriately by introducing the science of psychology, followed by scientific method and ethics before getting into the core of scientific research in the field of psychology. Details are provided in quantitative and qualitative research, correlations, surveys, and research design. Overall, the text is fully comprehensive and necessary introductory research concepts.

The text appears to be accurate with no issues related to content.

Relevance/Longevity rating: 4

The text provided relevant research information to support the learning. The content was up-to-date with a variety of different examples related to the different fields of psychology. However, some topics such as in the pseudoscience section were not very relevant and bordered the line of beliefs. Here, more current or relevant solid examples would provide more relevancy in this part of the text. Bringing in more solid or concrete examples that are more current for students may have been more appropriate such as lack of connection between information found on social media versus real science.

The language and flow of the chapters accompanied by the terms, concepts, and examples of applied research allows for clarity of learning content. Terms were introduced at the appropriate time with the support of concepts and current or classic research. The writing style flows nicely and segues easily from concept to concept. The text is easy for students to understand and grasp the details related to psychological research and science.

The text provides consistency in the outline of each chapter. The beginning section chapter starts objectives as an overview to help students unpack the learning content. Key terms are consistently bolded followed by concept or definition and relevant examples. Research examples are pertinent and provide students with an opportunity to understand application of the contents. Practice exercises are provided with in the chapter and at the and in order for students to integrate learning concepts from within the text.

Sections and subsections are clearly organized and divided appropriately for ease-of-use. The topics are easily discernible and follow the flow of ideal learning routines for students. The sections and subsections are consistently outlined for each concept module. The modularity provides consistency allowing for students to focus on content rather than trying to discern how to pull out the information differently from each chapter or section. In addition, each section and subsection allow for flexibility in learning or expanding concepts within the content area.

The organization of the textbook was easy to follow and each major topic was outlined clearly. However, the chapter on presenting research may be more appropriately placed toward the end of the book rather than in the middle of the chapters related to research and research design. In addition, more information could have been provided upfront around APA format so that students could identify the format of citations within the text as practice for students throughout the book.

The interface of the book lends itself to a nice layout with appropriate examples and links to break up the different sections in the chapters. Examples where appropriate and provided engagement opportunities for the students for each learning module. Images and QR codes or easily viewed and used. Key terms are highlighted in relevant figures, graphs, and tables were appropriately placed. Overall, the interface of the text assisted with the organization and flow of learning material.

No grammatical errors were detected in this book.

The text appears to be culturally sensitive and not offensive. A variety of current and classic research examples are relevant. However, more examples of research from women, minorities, and ethnicities would strengthen the culture of this textbook. Instructors may need to supplement some research in this area to provide additional inclusivity.

Overall, I was impressed by the layout of the textbook and the ease of use. The layout provides a set of expectations for students related to the routine of how the book is laid out and how students will be able to unpack the information. Research examples were relevant, although I see areas where I will supplement information. The book provides opportunities for students to dive deeper into the learning and have rich conversations in the classroom. I plan to start using the psychology textbook for my students starting next year.

Reviewed by Anna Behler, Assistant Professo, North Carolina State University on 6/1/21

The text is very thorough and covers all of the necessary topics for an undergraduate psychology research methods course. There is even coverage of qualitative research, case studies, and the replication crisis which I have not seen in some other... read more

There were no issues with the accuracy of the text.

The content is very up to date and relevant for a research methods course. The only updates that will likely be necessary in the coming years are updates to examples and modifications to the section on APA formatting.

The clarity of the writing was good, and the chapters were written in a way that was accessible and easy to follow.

I did not note any issues with consistency.

Each chapter is divided into multiple subsections. This makes the chapters even easier to read, as they are broken down into short and easy to navigate sections. These sections make it easy to assign readings as needed depending on which topics are being covered in class.

Organization/Structure/Flow rating: 3

The organization was one of the few areas of weakness, and I felt that the chapters were ordered somewhat oddly. However, this is something that is easily fixed, as chapters (and even subsections) can be assigned in whatever order is needed.

There were no issues of note with the interface, and the PDF of the text was easy to navigate.

The text was well written and there were no grammatical/writing errors of note.

Overall, the book did not contain any notable instances of bias. However, it would probably be appropriate to offer a more thorough discussion of the WEIRD problem in psychology research.

Reviewed by Seth Surgan, Professor, Worcester State University on 5/24/21

Pitched very well for a 200-level Research Methods course. This text provided students with solid basis for class discussion and the further development of their understanding of fundamental concepts. read more

No issues with accuracy.

Coverage was on target, relevant, and applicable, with good examples from a variety of subfields within Psychology.

Clearly written -- students often struggle with the dry, technical nature of concepts in Research Methods. Part of the reason I chose this text in the first place was how favorably it compared to other options in terms of clarity.

No problems with inconsistent of shifting language. This is extremely important in Research Methods, where there are many closely related terms. Language was consistent and compatible with other textbook options that were available to my students.

Chapters are broken down into sections that are reasonably sized and conceptually appropriate.

The organization of this textbook fit perfectly with the syllabus I've been using (in one form or another) for 15+ years.

This textbook was easy to navigate and available in a variety of formats.

No problems at all.

Examples show an eye toward inclusivity. I did not detect any insensitive or offensive examples or undertones.

I have used this textbook for a 200-level Research Methods course run over a single summer session. This was my first experience using an OER textbook and I don't plan on going back.

Reviewed by Laura Getz, Assistant Professor, University of San Diego on 4/29/21

The topics covered seemed to be at an appropriate level for beginner undergraduate psychology students; the learning objectives for each subsection and the key takeaways and exercises for each chapter are also very helpful in guiding students’ attention to what is most relevant. The glossary is also thorough and a good resource for clear definitions. I would like to see a final chapter on a “big picture” or integrating key ideas of replication, meta-analysis, and open science.

Content Accuracy rating: 4

For the most part, I like the way information is presented. I had a few specific issues with definitions for ordinal variables being quantitative (1st, 2nd, 3rd aren’t really numbers as much as ranked categories), the lack of specificity about different forms of validity (face, content, criterion, and discriminant all just labeled “validity” whereas internal and external validity appear in different sections), and the lack of clear distinction between correlational and quasi-experimental variables (e.g., in some places, country of origin is listed as making a design quasi-experimental, but in other chapters it is defined as correlational).

Some of the specific studies/experiments mentioned do not seem like the best or most relevant for students to learn about the topics, but for the most part, content is up-to-date and can definitely be updated with new studies to illustrate concepts with relative ease.

Besides the few concepts I listed above in “accuracy”, I feel the text was very accessible, provides clear definitions, and many examples to illustrate any potential technical/jargon terms.

I did not notice any issues with inconsistent terms except for terms that do have more than one way of describing the same concept (e.g., 2-sample vs. independent samples t-test)

I assigned the chapters out of order with relative ease, and students did not comment about it being burdensome to navigate.

The order of chapters sometimes did not make sense to me (e.g., Experimental before Non-experimental designs, Quasi-experimental designs separate from other non-experimental designs, waiting until Chapter 11 to talk about writing), but for the most part, the chapter subsections were logical and clear.

Interface rating: 4

I had no issues navigating the online version of the textbook other than taking a while to figure out how to move forward and back within the text itself rather than going back to the table of contents (this might just be a browser issue, but is still worth considering).

No grammatical errors of note.

There was nothing explicitly insensitive or offensive about the text, but there were many places where I felt like more focus on diversity and individual differences could be helpful. For example, ethics and history of psychological testing would definitely be a place to bring in issues of systemic racism and/or sexism and a focus on WEIRD samples (which is mentioned briefly at another point).

I was very satisfied with this free resource overall, and I recommend it for beginning level undergraduate psychology research methods courses.

Reviewed by Laura Stull, Associate Professor, Anderson University on 4/23/21

This book covers essential topics and areas related to conducting introductory psychological research. It covers all critical topics, including the scientific method, research ethics, research designs, and basic descriptive and inferential statistics. It even goes beyond other texts in terms of offering specific guidance in areas like how to conduct research literature searches and psychological measurement development. The only area that appears slightly lacking is detailed guidance in the mechanics of writing in APA style (though excellent basic information is provided in chapter 11).

All content appears accurate. For example, experimental designs discussed, descriptive and inferential statistical guidance, and critical ethical issues are all accurately addressed, See comment on relevance below regarding some outdated information.

Relevance/Longevity rating: 3

Chapter 11 on APA style does not appear to cover the most current version of the APA style guide (7th edition). While much of the information in Chapter 11 is still current, there are specifics that did change from 6th to 7th edition of the APA manual and so, in order to be current, this information would have to be supplemented with external sources.

The book is extremely well organized, written in language and terms that should be easily understood by undergraduate freshmen, and explains all necessary technical jargon.

The text is consistent throughout in terms of terminology and the organizational framework (which aids in the readability of the text).

The text is divided into intuitive and common units based on basic psychological research methodology. It is clear and easy to follow and is divided in a way that would allow omission of some information if necessary (such as "single subject research") or reorganization of information (such as presenting survey research before experimental research) without disruption to the course as a whole.

As stated previously, the book is organized in a clear and logical fashion. Not only are the chapters presented in a logical order (starting with basic and critical information like overviews of the scientific method and research ethics and progressing to more complex topics like statistical analyses).

No issues with interface were noted. Helpful images/charts/web resources (e.g., Youtube videos) are embedded throughout and are even easy to follow in a print version of the text.

No grammatical issues were noted.

No issues with cultural bias are noted. Examples are included that address topics that are culturally sensitive in nature.

I ordered a print version of the text so that I could also view it as students would who prefer a print version. I am extremely impressed with what is offered. It covers all of the key content that I am currently covering with a (non-open source) textbook in an introduction to research methods course. The only concern I have is that APA style is not completely current and would need to be supplemented with a style guide. However, I consider this a minimal issue given all of the many strengths of the book.

Reviewed by Anika Gearhart, Instructor (TT), Leeward Community College on 4/22/21

Includes the majority of elements you expect from a textbook covering research methods. Some topics that could have been covered in a bit more depth were factorial research designs (no coverage of 3 or more independent variables) and external... read more

Nothing found that was inaccurate.

Looks like a few updates could be made to chapter 11 to bring it up to date with APA 7. Otherwise, most examples are current.

Very clear, a great fit for those very new to the topic.

The framework is clear and logical, and the learning objectives are very helpful for orienting the reader immediately to the main goals of each section.

Subsections are well-organized and clear. Titles for sections and subsections are clear.

Though I think the flow of this textbook for the most part is excellent, I would make two changes: move chapter 5 down with the other chapters on experimental research and move chapter 11 to the very end. I feel that this would allow for a more logical presentation of content.

The webpage navigation is easy to use and intuitive, the ebook download works as designed, and the page can be embedded directly into a variety of LMS sites or used with a variety of devices.

I found no grammatical errors in this book.

While there were some examples of studies that included participants from several cultures, the book does not touch on ecological validity, an important external validity issue tied to cultural psychology, and there is no mention of the WEIRD culture issue in psychology, which seems somewhat necessary when orienting new psychology students to research methods today.

I currently use and enjoy this textbook in my research methods class. Overall, it has been a great addition to the course, and I am easily able to supplement any areas that I feel aren't covered with enough breadth.

Reviewed by Amy Foley, Instructor/Field & Clinical Placement Coordinator, University of Indianapolis on 3/11/21

This text provides a comprehensive overview of the research process from ideation to proposal. It covers research designs common to psychology and related fields. read more

This text provides a comprehensive overview of the research process from ideation to proposal. It covers research designs common to psychology and related fields.

Accurate information!

This book is current and lines up well with the music therapy research course I teach as a supplemental text for students to understand research designs.

Clear language for psychology and related fields.

The format of the text is consistent. I appreciate the examples, different colored boxes, questions, and links to external sources such as video clips.

It is easy to navigate this text by chapters and smaller units within each chapter. The only confusion that has come from using this text includes the fact that the larger units have roman numerals and the individual chapters have numbers. I have told students to "read unit six" and they only read the small chapter 6, not the entire unit for example.

Flows well!

I have not experienced any interface issues.

I have not found any grammar errors.

Book appears culturally relevant.

This is a great resource for research methods courses in psychology or related fields. I am glad to have used several chapters of this text within the music therapy research course I teach where students learn about research design and then create their own research proposal.

Reviewed by Veronica Howard, Associate Professor, University of Alaska Anchorage on 1/11/21, updated 1/11/21

VERY impressed by the coverage of single subject designs. I would recommend this content to colleagues. read more

VERY impressed by the coverage of single subject designs. I would recommend this content to colleagues.

Content appears accurate.

By expanding to include more contemporary research perspectives, the authors have created a wonderful dynamic that permits the text to be the foundation for many courses as well as revision and remixing for other authors.

Book easy to read, follow.

Consistency rating: 4

Content overall consistent. Only mild inconsistency in writing style between chapters.

Exceptionally modular. All content neatly divided into units with smaller portions. This would be a great book to use in a course that meets bi-weekly, or adapted into other formats.

Content organized in a clear and logical fashion, and would guide students through a semester-long course on research methods, starting with review content, broad overview of procedures (including limitations), then highlighting less common (though relevant) procedures.

Rich variety of formats for use.

No errors found.

I would appreciate more cultural examples.

Reviewed by Greg Mullin, Associate Professor, Bunker Hill Community College on 12/30/20, updated 1/6/21

I was VERY pleased with the comprehensiveness of the text. I believe it actually has an edge over the publisher-based text that I've been using for years. Each major topic was thoroughly covered with more than enough detail on individual concepts. read more

I did not find any errors within the text. The authors provided an unbiased representation of research methods in psychology.

The content connects to classic, timeless examples in the field, but also mixes in a fair amount of more current, relatable examples. I feel like I'll be able to use this version of the text for many years without its age showing.

The authors present a clear and efficient writing style throughout that is rich with relatable examples. The only area that may be a bit much for undergraduate-level student understanding is the topic of statistics. I personally scale back my discussion of statistics in my Intro to Research Methods course, but for those that prefer a deeper dive, the higher-level elements are there.

I did not notice any shifts with the use of terminology or with the structural framework of the text. The text is very consistent and organized in an easily digestible way.

The authors do a fantastic job breaking complex topics down into manageable chunks both as a whole and within chapters. As I was reading, I could easily see how I could align my current approach of teaching Intro to Research Methods with their modulated presentation of the material.

I effortlessly moved through the text given the structural organization. All topics are presented in a logical fashion that allowed each message to be delivered to the reader with ease.

I read the text through the PDF version and found no issue with the interface. All image and text-based material was presented clearly.

I cannot recall coming across any grammatical errors. The text is very well written.

I did not find the text to be culturally insensitive in any way. The authors use inclusive language and even encourage that style of writing in the chapter on Presenting Your Research. I would have liked to see more cross-cultural research examples and more of an extended effort to include the theme of diversity throughout, but at no point did I find the text to be offensive.

This is a fantastic text and I look forward to adopting it for my Intro to Research Methods course in the Spring. :)

Reviewed by Maureen O'Connell, Adjunct Professor, Bunker Hill Community College on 12/15/20, updated 12/18/20

This text edition has covered all ideas and areas of research methods in psychology. It has provided a glossary of terms, sample APA format, and sample research papers. read more

This text edition has covered all ideas and areas of research methods in psychology. It has provided a glossary of terms, sample APA format, and sample research papers.

The content is unbiased, accurate, and I did not find any errors in the text.

The content is current and up-to-date. I found that the text can be added to should material change, the arrangement of the text/content makes it easily accessible to add material, if necessary.

The text is clear, easy to understand, simplistic writing at times, but I find this text easy for students to comprehend. All text is relevant to the content of behavioral research.

The text and terminology is consistent.

The text is organized well and sectioned appropriately. The information is presented in an easy-to-read format, with sections that can be assigned at various points during the semester and the reader can easily locate this.

The topics in the text are organized in a logical and clear manner. It flows really well.

The text is presented well, including charts, diagrams, and images. There did not appear to be any confusion with this text.

The text contains no grammatical errors.

The text was culturally appropriate and not offensive. Clear examples of potential biases were outlined in this text which I found quite helpful for the reader.

Overall, I found this to be a great edition. Much of the time I spend researching outside material for students has been included in this text. I enjoyed the format, easier to navigate, helpful to students by providing an updated version of discussions and practice assignments, and visually more appealing.

Reviewed by Brittany Jeye, Assistant Professor of Psychology, Worcester State University on 6/26/20

All of the main topics in a Research Methods course are covered in this textbook (e.g., scientific method, ethics, measurement, experimental design, hypothesis testing, APA style, etc.). Some of these topics are not covered as in-depth as in other Research Method textbooks I have used previously, but this actually may be a positive depending on the students and course level (that is, students may only need a solid overview of certain topics without getting overwhelmed with too many details). It also gives the instructor the ability to add content as needed, which helps with flexibility in course design.

I did not note any errors or inaccurate/biasing statements in the text.

For the most part, everything was up to date. There was a good mix of classic research and newer studies presented and/or used as examples, which kept the chapters interesting, topical and relevant. I only noted the section on APA Style in the chapter “Presenting Your Research” which may need some updating to be in line with the new APA 7th edition. However, there should be only minor edits needed (the chapter itself was great overview and introduction to the main points of APA style) and it looks like they should be relatively easy to implement.

The text was very well-written and was presented at an accessible level for undergraduates new to Research Methods. Terms were well-defined with a helpful glossary at the end of the textbook.

The consistent structure of the textbook is huge positive. Each chapter begins with learning objectives and ends with bulleted key takeaways. There are also good exercises and learning activities for students at the end of each chapter. Instructors may need to add their own activities for chapters that do not go into a lot of depth (there are also instructor resources online, which may have more options available).

This is one of the biggest strengths of this textbook, in my opinion. I appreciate how each chapter is broken down into clearly defined subsections. The chapters and the subsections, in particular, are not lengthy, which is great for students’ learning. These subsections could be reorganized and used in a variety of ways to suit the needs of a particular course (or even as standalone subsections).

The topics were presented in a logical manner. As mentioned above, since the textbook is very modular, I feel that you could easily rearrange the chapters to fit your needs (for example, presenting survey design before experimental research or making the presenting your research section a standalone unit).

I downloaded the textbook as an ebook, which was very easy to use/navigate. There were no problems reading any of the text or figures/tables. I also appreciated that you could open the ebook using a variety of apps (Kindle, iBook, etc.) depending on your preference (and this is good for students who have a variety of technical needs).

There were no grammatical errors noted.

The examples were inclusive of races, ethnicity and background and there were not any examples that were culturally insensitive or offensive in any way. In future iterations of the replicability section, it may be beneficial to touch upon the “weird” phenomena in psychology research (that many studies use participants who are western, educated and from industrialized, rich and democratic countries) as a point to engage students in improving psychological practices.

I will definitely consider switching to this textbook in the future for Research Methods.

Reviewed by Alice Frye, Associate Teaching Professor, University of Massachusetts Lowell on 6/22/20

Hits all the necessary marks from ways of knowing to measurement, research designs, and presentation. Comparable in detail and content to other Research Methods texts I have used for teaching. read more

Hits all the necessary marks from ways of knowing to measurement, research designs, and presentation. Comparable in detail and content to other Research Methods texts I have used for teaching.

Correct and to the point. Complex ideas such as internal consistency reliability and discriminant validity are well handled--correct descriptions that are also succinct and articulated simply and with clear examples that are easy for a student reader to grasp.

Seems likely to have good staying power. One area that has changed quickly in the past is the usefulness of various research data bases. So it is possible that portion could become more quickly outdated, but there is no predicting that. The current descriptions are useful.

Very clearly written without being condescending, overly casual or clunky.

Excellent consistency throughout in terms of organization, language usage, level of detail and tone.

Imho this is one of the particular strengths of the text. Chapters are well divided into discrete parts, which seems likely to be a benefit in cohorts of students who are increasingly accustomed to digesting small amounts of information.

Well organized, straightforward structure that is maintained throughout.

No problems with the interface.

The grammar level is another notable strength. Ideas are articulated clearly, and with sophistication, but in a syntactically very straightforward manner.

The text isn't biased or offensive. I wish that to illustrate various points and research designs it had drawn more frequently on research studies that incorporate a specific focus on race and ethnicity.

This is a very good text. As good as any for profit text I have used to teach a research methods course, if not better.

Reviewed by Lauren Mathieu-Frasier, Adjunct Instructor, University of Indianapolis on 1/13/20

As other reviews have mentioned, this textbook provides a comprehensive look at multiple concepts for an introductory course in research methods in psychology. Some of the concepts (i.e., variables, external validity) are briefly described and glossed over that it will take additional information, examples, and reinforcement from instructors in the classroom. Other sections and concepts, like ethics or reporting of research were well-described and thorough.

It appeared that the information was accurate, error-free, and unbiased.

The information is up-to-date. In the section on APA presentation, it looks like the minor adjustments to the APA Publication Manual 7th Edition would need to be included. However, this section gives a good foundation and the instructor can easily implement the changes.

Clarity rating: 4

The text is clearly written written and provides an appropriate context when terminology is used.

There aren't any issues with consistency in the textbook.

The division of smaller sections can be beneficial when reading it and assigning it to classes. The sections are clearly organized based on learning objectives.

The textbook is organized in a logical, clear manner. There may be topics that instructors choose to present in a different manner (non-experimental and survey research prior to experimental). However, this doesn't generally impact the organization and flow of the book.

While reading and utilizing the book, there weren't any navigation issues that could impact the readability of the book. Students could find this textbook easy to use.

Grammatical errors were not noted.

There weren't any issues with cultural sensitivity in the examples of studies used in the textbook.

Reviewed by Tiffany Kindratt, Assistant Professor, University of Texas at Arlington on 1/1/20

The text is comprehensive with an effective glossary of terms at the end. It would be beneficial to include additional examples and exercises for students to better understand concepts covered in Chapter II, Overview of the Scientific Method,... read more

The text is accurate and there are minimal type/grammatical errors throughout. The verbiage is written in an unbiased manner consistently throughout the textbook.

The content is up-to-date, and examples can be easily updated for future versions. As a public health instructor, I would be interested in seeing examples of community-based examples in future versions. The current examples provided are relevant for undergraduate public health students as well as psychology students.

The text is written in a clear manner. The studies used can be easily understood by undergraduate students in other social science fields, such as public health. More examples and exercises using inferential statistics would be helpful for students to better grasp the concepts.

The framework for each chapter and terminology used are consistent. It is helpful that each section within each chapter begins with learning objectives and the chapter ends with key takeaways and exercises.

The text is clearly divided into sections within each chapter. When I first started reviewing this textbook, I thought each section was actually a very short chapter. I would recommend including a listing of all of the objectives covered in each chapter at the beginning to improve the modularity of the text.

Some of the topics do not follow a logical order. For example, it would be more appropriate to discuss ethics before providing the overview of the scientific method. It would be better to discuss statistics used to determine results before describing how to write manuscripts. However, the text is written in a way that that the chapters could be assigned to students in a different order without impacting the students’ comprehension of the concepts.

I did not encounter any interface issues when reviewing this text. All links worked and there were no distortions of the images or charts that may confuse the reader. There are several data tables throughout the text which are left-aligned and there is a large amount of empty white space next it. I would rearrange the text in future versions to make better use of this space.

The text contains minimal grammatical errors.

The examples are culturally relevant. I did not see any examples that may be considered culturally insensitive or offensive in any way.

As an instructor for an undergraduate public health sciences and methods course, I will consider using some of the content in this text to supplement the current textbook in the future.

Reviewed by Mickey White, Assistant Professor, East Tennessee State University on 10/23/19

The table of contents is well-formatted and comprehensive. Easy to navigate and find exactly what is needed, students would be able to quickly find needed subjects. read more

The table of contents is well-formatted and comprehensive. Easy to navigate and find exactly what is needed, students would be able to quickly find needed subjects.

Content appears to be accurate and up-to-date.

This text is useful and relevant, particularly with regard to expressing and reporting descriptive statistics and results. As APA updates, the text will be easy to edit, as the sections are separated.

Easy to read and engaging.

Chapters were laid out in a consistent manner, which allows readers to know what is coming. The subsections contained a brief overview and terminology was consistent throughout. The glossary added additional information.

Sections and subsections are delineated in a usable format.

The key takeaways were useful, including the exercises at the end of each chapter.

Reading the book online is a little difficult to navigate page-by-page, but e-pub and PDF formats are easy to navigate.

No errors noted.

Would be helpful to have a clearer exploration of cultural factors impacting research, including historical bias in assessment and research outside of research ethics.

Reviewed by Robert Michael, Assistant Professor, University of Louisiana at Lafayette on 10/14/19

Successfully spans the gamut of topics expected in a Research Methods textbook. Some topics are covered in-depth, while others are addressed only at a surface level. Instructors may therefore need to carefully arrange class material for topics in... read more

The factual content was error-free, according to my reading. I did spot a few grammatical and typographical errors, but they were infrequent and minor.

Great to see nuanced—although limited—discussion of issues with Null Hypothesis Significance Testing, Reproducibility in Psychological Science, and so forth. I expect that these areas are likely to grow in future editions, perhaps supplementing or even replacing more traditional material.

Extremely easy to read with multiple examples throughout to illustrate the principles being covered. Many of these examples are "classics" that students can easily relate to. Plus, who doesn't like XKCD comics?

The textbook is structured sensibly. At times, certain authors' "voices" seemed apparent in the writing, but I suspect this variability is unlikely to be noticed by or even bothersome to the vast majority of readers.

The topics are easily divisible and seem to follow routine expectations. Instructors might find it beneficial and/or necessary to incorporate some of the statistical thinking and learning into various earlier chapters to facilitate student understanding in-the-moment, rather than trying to leave all the statistics to the end.

Sensible and easy-to-follow structure. As per "Modularity", the Statistical sections may benefit from instructors folding in such learning throughout, rather than only at the end.

Beautifully presented, crisp, easy-to-read and navigate. Caveat: I read this online, in a web-browser, on only one device. I haven't tested across multiple platforms.

High quality writing throughout. Only a few minor slip-ups that could be easily fixed.

Includes limited culturally relevant material where appropriate.

Reviewed by Matthew DeCarlo, Assistant Professor, Radford University on 6/26/19

The authors do a great job of simplifying the concepts of research methods and presenting them in a way that is understandable. There is a tradeoff between brevity and depth here. Faculty who adopt this textbook may need to spend more time in class going in depth into concepts, rather than relying on the textbook for all of the information related to key concepts. The text does not cover qualitative methods in detail.

The textbook provides an accurate picture of research methods. The tone is objective and without bias.

The textbook is highly relevant and up to date. Examples are drawn from modern theories and articles.

The writing is a fantastic mix of objective and authoritative while also being approachable.

The book coheres well together. Each chapter and section are uniform.

This book fits very well within a traditional 16 week semester, covering roughly a chapter per week. One could take out specific chapters and assign them individually if research methods is taught in a different way from a standard research textbook.

Content is very well organized. The table of contents is easy to navigate and each chapter is presented in a clear and consistent manner. The use of a two-tier table of contents is particularly helpful.

Standard pressbooks interface, which is great. Uses all of the standard components of Pressbooks well, though the lack of H5P and interactive content is a drawback.

I did not notice any grammar errors.

Cultural Relevance rating: 2

The book does not deal with cultural competence and humility in the research process. Integration of action research and decolonization perspectives would be helpful.

Reviewed by Christopher Garris, Associate Professor, Metropolitan State University of Denver on 5/24/19

Most content areas in this textbook were covered appropriately extensively. Notably, this textbook included some content that is commonly missing in other textbooks (e.g. presenting your research). There were some areas where more elaboration and more examples were needed. For example, the section covering measurement validities included all the important concepts, but needed more guidance for student comprehension. Also, the beginning chapters on 'common sense' reasoning and pseudoscience seemed a little too brief.

Overall, this textbook appeared to be free from glaring errors. There were a couple of instances of concern, but were not errors, per se. For example, the cut-off for Cronbach's alpha was stated definitively at .80, while this value likely would be debated among researchers.

This textbook was presented in such a way that seemed protect it from becoming obsolete within the next few years. This is important for continued, consistent use of the book. The authors have revised this book, and those revisions are clearly summarized in the text. Importantly, the APA section of the textbook appears to be up-to-date. Also, the use of QR codes throughout the text is a nice touch that students may appreciate.

Connected to comprehensiveness, there are some important content areas that I felt were lacking in elaboration and examples (e.g. testing the validity of measurement; introduction of experimental design), which inhibits clarity. Overall, however, the topics seemed to be presented in a straightforward, accessible manner. The textbook includes links to informative videos and walk-throughs where appropriate, which seem to be potentially beneficial for student comprehension. The textbook includes tools designed to aid learning, namely "Key Takeaways" and "Exercises" sections at the end of most modules, but not all. "Key Takeaways" seemed valuable, as they were a nice bookend to the learning objectives stated at the beginning of each module. "Exercises" did not appear to be as valuable, especially for the less-motivated student. On their face, these seemed to be more designed for instructors to use as class activities/active learning. Lastly, many modules of the textbook were text-heavy and visually unappealing. While this is superficial, the inclusion of additional graphics, example boxes, or figures in these text-heavy modules might be beneficial.

The textbook appeared to be internally consistent with its approach and use of terminology.

The textbook had a tendency to 'throw out' big concepts very briefly in earlier modules (e.g. sampling, experimental/non-experimental design), and then cover them in more detail in later modules. This would have been less problematic if the text would explicitly inform the student that these concepts would be elaborated upon later. Beyond this issue, the textbook seems to lend itself to being divided up and used on module-by-module basis.

The organization of the chapters did not make intuitive sense to me. The fact that correlation followed experimental research, and that descriptive research was the second-to-last module in the sequence was confusing. That said, textbook is written in such a way that an instructor easily assign the modules in the order that works best for their class.

Overall, the interface worked smoothly and there were few technical issues. Where there were issues (e.g. inconsistent spacing between lines and words), they were negligible.

The text seemed to be free from glaring grammatical problems.

Because this is a methodology textbook, it does not lend itself to too much cultural criticism. That said, the book did not rely on overly controversial examples, but also didn't shy away from important cultural topics (e.g. gender stereotypes, vaccines).

Reviewed by Michel Heijnen, Assistant Professor, University of North Carolina Wilmington on 3/27/18

The book covers all areas related to research methods, not only for the field of psychology, but also to other related fields like exercise science. Topics include ethics, developing a research questions, experimental designs, non-experimental... read more

Reviewed content is accurate and seems free of any personal bias.

The topic of research methods in general is not expected to change quickly. It is not expected that this text will become obsolete in the near future. Furthermore, for both the field of psychology as well as other related fields, the examples will continue to have an application to explain certain concepts and will not be outdated soon, even with new research emerging every day.

The text is written so an undergraduate student should be able to understand the concepts. The examples provided in the text greatly contribute to the understanding of the topics and the proposed exercises at the end of each chapter will further apply the knowledge.

The layout and writing style are consistent throughout the text.

Layout of the text is clear, with multiple subsection within each chapter. Each chapter can easily be split into multiple subsection to assign to students. No evidence of self-refers was observed, and individual chapters could be assigned to students without needed to read all preceding chapters. For example, Chapter 4 may not be particularly useful to students outside of psychology, but an instructor can easily reorganize the text and skip this chapter while students can still understand following chapters.

Topics are addressed in a logical manner. Overall, an introduction to research is provided first (including ethics to research), which is followed by different types of research, and concludes with types of analysis.

No images or tables are distorted, making the text easy to read.

No grammatical errors observed in text.

Text is not offensive and does not appear to be culturally insensitive.

I believe that this book is a great resource and, as mentioned previously, can be used for a wider audience than just psychology as the basics of research methods can be applied to various fields, including exercise science.

Reviewed by Chris Koch, Professor of Psychology, George Fox University on 3/27/18

All appropriate areas and topics are covered in the text. In that sense, this book is equivalent to other top texts dealing with research methods in psychology. The appeal of this book is the brevity and clarity. Therefore, some may find that, although the topics are covered, topics may not be covered as thoroughly they might like. Overall, the coverage is solid for an introductory course in research methods.

In terms of presentation, this book could be more comprehensive. Each chapter does start with a set of learning objectives and ends with "takeaways" and a short set of exercises. However, it lacks detailed chapter outlines, summaries, and glossaries. Furthermore, an index does not accompany the text.

I found the book to be accurate with content being fairly presented. There was no underlying bias throughout the book.

This is an introductory text for research methods. The basics of research methods have been consistent for some time. The examples used in the text fit the concepts well. Therefore, it should not be quickly dated. It is organized in such a way that sections could be easily modified with more current examples as needed.

The text is easy to read. It is succinct yet engaging. Examples are clear and terminology is adequately defined.

New terms and concepts are dealt with chapter by chapter. However, those things which go across chapters are consistently presented.

The material for each chapter is presented in subsections with each subsection being tied to a particular learning objective. It is possible to use the book by subsection instead of by chapter. In fact, I did that during class by discussing the majority of one chapter, discussing another chapter, and then covering what I previously skipped,

In general, the book follows a "traditional" organization, matching the organization of many competing books. As mentioned in regard to modularity, I did not follow the organization of the book exactly as it was laid out. This may not necessarily reflect poorly on the book, however, since I have never followed the order of any research methods book. My three exams covered chapter 1 through 4, chapters 5, 6, part of 8, and chapters 7, the remainder of 8, 9, and 10. Once we collected data I covered chapters 11 through 13.

Interface rating: 3

The text and images are clear and distortion free. The text is available in several formats including epub, pdf, mobi, odt, and wxr. Unfortunately, the electronic format is not taken full advantage of. The text could be more interactive. As it is, it is just text and images. Therefore, the interface could be improved.

The book appeared to be well written and edited.

I did not find anything in the book that was culturally insensitive or offensive. However, more examples of cross-cultural research could be included.

I was, honestly, surprised by how much I liked the text. The material was presented in easy to follow format that is consistent with how I think about research methods. That made the text extremely easy to use. Students also thought the book was highly accessible Each chapter was relatively short but informative and easy to read.

Reviewed by Kevin White, Assistant Professor, East Carolina University on 2/1/18

This book covers all relevant topics for an introduction to research methods course in the social sciences, including measurement, sampling, basic research design, and ethics. The chapters were long enough to be somewhat comprehensive, but short enough to be digestible for students in an introductory-level class. Student reviews of the book have so far been very positive. The only section of the text for which more detail may be helpful is 2.3 (Reviewing the Research Literature), in which more specific instructions related to literature searches may be helpful to students.

I did not notice any issues related to accuracy. Content appeared to be accurate, error-free, and unbiased.

One advantage of this book is that it is relevant to other applied fields outside of psychology (e.g., social work, counseling, etc.). Also, the exercises at the end of chapter sections are helpful.

The clarity of the text provides students with succinct definitions for research-related concepts, without unnecessary discipline-specific jargon. One suggestion for future editions would be to make the distinctions between different types of non-experimental research a bit more clear for students in introductory classes (e.g., "Correlational Research" in Section 7.2).

Formatting and terminology was consistent throughout this text.

A nice feature of this book is that instructors can select individual sections within chapters, or even jump between sections within chapters. For example, Section 1.4 may not fit for a class that is less clinically-oriented in nature.

The flow of the text was appropriate, with ethics close to the beginning of the book (and an entire chapter devoted to it), and descriptive/inferential statistics at the end.

I did not notice any problems related to interface. I had no trouble accessing or reading the text, and the images were clear.

The text contained no discernible grammatical errors.

The book does not appear to be culturally insensitive in any discernible way, and explicitly addresses prejudice in research (e.g., Section 5.2). However, I think that continuing to add more examples that relate to specific marginalized groups would help improve the text (and especially exercises).

Overall, this book is very useful for an introductory research methods course in psychology or social work, and I highly recommend.

Reviewed by Elizabeth Do, Instructor, Virginia Commonwealth University on 2/1/18

Although this textbook does provide good information regarding introductory concepts necessary for the understanding of correlational designs, and is presented in a logical order. It does not, however, cover qualitative methodologies, or research... read more

There does not seem to be any errors within the text.

Since this textbook covers a topic that is unlikely to change over the years and it's content is up-to-date, it remains relevant to the field.

The textbook is written at an appropriate level for undergraduate students and is useful in that it does explain important terminology.

There does not seem to be any major inconsistencies within the text.

Overall, the text is very well organized - it is separated into chapters that are divided up into modules and within each module, there are clear learning objectives. It is also helpful that the textbook includes useful exercises for students to practice what they've read about from the text.

The topics covered by this textbook are presented in an order that is logical. The writing is clear and the examples are very useful. However, more information could be provided in some of the chapters and it would be useful to include a table of contents that links to the different chapters within the PDF copy, for reader's ease in navigation when looking for specific terms and/or topics.

Overall, the PDF copy of the textbook made it easy to read; however, there did seem to be a few links that were missing. Additionally, it would be helpful to have some of the graphs printed in color to help with ease of following explanations provided by the text. The inclusion of a table of contents would also be useful for greater ease with navigation.

There does not seem to be any grammatical errors in the textbook. Also, the textbook is written in a clear way, and the information flows nicely.

This textbook focuses primarily on examples from the United States. It does not seem to be culturally insensitive or offensive in anyway and I liked that it included content regarding the avoidance of biased language (chapter 11).

This textbook makes the material very accessible, and it is easy to read/follow examples.

Reviewed by Eric Lindsey, Professor, Penn State University Berks Campus on 2/1/18

The content of the Research Methods in Psychology textbook was very thorough and covered what I would consider to be the important concepts and issues pertaining to research methods. I would judge that the textbook has a comparable coverage of information to other textbooks I have reviewed, including the current textbook I am using. The range of scholarly sources included in the textbook was good, with an appropriate balance between older and classic research examples and newer more cutting edge research information. Overall, the textbook provides substantive coverage of the science of conducting research in the field of psychology, supported by good examples, and thoughtful questions.

The textbook adopts a coherent and student-friendly format, and offers a precise introduction to psychological research methodology that includes consideration of a broad range of qualitative and quantitative methods to help students identify and evaluate the best approach for their research needs. The textbook offers a detailed review of the way that psychological researchers approach their craft. The author guides the reader through all aspects of the research process including formulating objectives, choosing research methods, securing research participants, as well as advice on how to effectively collect, analyze and interpret data and disseminate those findings to others through a variety of presentation and publication venues. The textbook offers relevant supplemental information in textboxes that is highly relevant to the material in the accompanying text and should prove helpful to learners. Likewise the graphics and figures that are included are highly relevant and clearly linked to the material presented in the text. The information covered by the textbook reflects an accurate summary of current techniques and methods used in research in the field of psychology. The presentation of information addresses the pros and cons of different research strategies in an objective and evenhanded way.

The range of scholarly sources included in the textbook was good, with an appropriate balance between older, classic research evidence and newer, cutting edge research. Overall, the textbook provides substantive coverage of the science on most topics in research methods of psychology, supported by good case studies, and thoughtful questions. The book is generally up to date, with adequate coverage of basic data collection methods and statistical techniques. Likewise the review of APA style guidelines is reflects the current manual and I like the way the author summarizes changes from the older version of the APA manual. The organization of the textbook does appear to lend itself to editing and adding new information with updates in the future.

I found the textbook chapters to be well written, in a straightforward yet conversational manner. It gives the reader an impression of being taught by a knowledgeable yet approachable expert. The writing style gives the learner a feeling of being guided through the lessons and supported in a very conversational approach. The experience of reading the textbook is less like being taught and more like a colleague sharing information. Furthermore, the style keeps the reader engaged but doesn't detract from its educational purpose. I also appreciate that the writing is appropriately concise. No explanations are so wordy as to overwhelm or lull the reader to sleep, but at the same time the information is not so vague that the reader can't understand the point at all.

The book’s main aim is to enable students to develop their own skills as researchers, so they can generate and advance common knowledge on a variety of psychological topics. The book achieves this objective by introducing its readers, step-by-step, to psychological research design, while maintaining an excellent balance between substance and attention grabbing examples that is uncommon in other research methods textbooks. Its accessible language and easy-to-follow structure and examples lend themselves to encouraging readers to move away from the mere memorization of facts, formulas and techniques towards a more critical evaluation of their own ideas and work – both inside and outside the classroom. The content of the chapters have a very good flow that help the reader to connect information in a progressive manner as they proceed through the textbook.

Each chapter goes into adequate depth in reviewing both past and current research related to the topic that it covers for an undergraduate textbook on research methods in psychology. The information within each chapter flows well from point-to-point, so that the reader comes away feeling like there is a progression in the information presented. The only limitation that I see is that I felt the author could do a little more to let the reader know how information is connected from chapter to chapter. Rather than just drawing the reader’s attention to things that were mentioned in previous chapters, it would be nice to have brief comments about how issues in one chapter relate to topics covered in previous chapters.

In my opinion the chapters are arranged in easily digestible units that are manageable in 30-40 minute reading sessions. In fact, the author designed the chapters of the textbook in a way to make it easy to chunk information, and start and stop to easily pick up where one leaves off from one reading session to another. I also found the flow of information to be appropriate, with chapters containing just the right amount of detail for use in my introductory course in research methods in psychology.

The book is organized into thirteen chapters. The order of the chapters offers a logical progression from a broad overview of information about the principles and theory behind research in psychology, to more specific issues concerning the techniques and mechanics of conducting research. Each chapter ends with a summary of key takeaways from the chapter and exercises that do more than ask for content regurgitation. I find the organization of the textbook to be effective, and matches my approach to the course very well. I would not make any changes to the overall format with the exception of moving chapter 11 on presenting research to the end of the textbook, after the chapters on statistical analysis and interpretation.

I found the quality of the appearance of the textbook to be very good. The textbook features appropriate text and section/header font sizes that allow for an adequate zooming level to read large or smalls sections of text, that will give readers flexibility to match their personal preference. There are learning objectives at the start of each chapter to help students know what to expect. Key terms are highlighted in a separate color that are easily distinguishable in the body of the page. There are very useful visuals in every chapter, including tables, figures, and graphs. Relevant supplemental information is also highlighted in well formatted text boxes that are color coded to indicate what type of information is included. My only criticism is that the photographs included in the text are of low quality, and there are so few in the textbook that I feel it would have been better to just leave them out.

I found no grammatical errors in my review of the textbook. The textbook is generally well written, and the style of writing is at a level that is appropriate for an undergraduate class.

Although the textbook contains no instances of presenting information that is cultural insensitive or offensive, it does not offer an culturally inclusive review of information pertaining to research methods in psychology. I found no inclusion of examples of research conducting with non European American samples included in the summary of studies. Likewise the authors do place much attention on the issue of cultural sensitivity when conducing research. If there is one major weakness of the textbook I would say it is in this area, but based on my experience it is not an uncommon characteristic of textbooks on research methods in psychology.

Reviewed by zehra peynircioglu, Professor, American University on 2/1/18

Comprehensiveness rating: 3 see less

Short and sweet in most areas. Covers the basic concepts, not very comprehensively but definitely adequately so for a general beginning-level research methods course. For instance, I would liked to have seen a "separate" chapter on correlational research (there is one on single subject research and one on survey research), a discussion of the importance of providing a theoretical rationale for "getting an idea" (most students are fine with finding interesting and feasible project ideas but cannot give a theoretical rationale) before or after Chapter 4 on Theory, or a chapter on neuroscientific methods, which are becoming more and more popular. Nevertheless, it touches on most traditional areas that are in other books.

I did not find any errors or biases

This is one area where there is not much danger of going obsolete any time soon. The examples might need to be updated periodically (my students tend to not like dated materials, however relevant), but that should be easy.

Very clear and accessible prose. Despite the brevity, the concepts are put forth quite clearly. I like the "not much fluff" mentality. There is also adequate explanations of jargon and technical terminology.

I could not find any inconsistencies. The style and exposition frameworks are also quite consistent.

Yes, the modularity is fine. The chapters follow a logical pattern, so there should not be too much of a need for jumping around. And even if jumping around is needed depending on teaching style, the sections are solid in terms of being able to stand alone (or as an accompaniment to lectures).

Yes, the contents is ordered logically and the high modularity helps with any reorganization that an instructor may favor. In my case, for instance, Ch. 1 is fine, but I would skip it because it's mostly a repetition of what most introductory psychology books also say. I would also discuss non-experimental methods before going into experimental design. But such changes are easy to do, and if someone followed the book's own organization, there would also be a logical flow.

As far as I could see, the text is free of significant interface issues, at least in the pdf version

I could not find any errors.

As far as I could see, the book was culturally relevant.

I loved the short and sweet learning objectives, key takeaway sections, and the exercises. They are not overwhelming and can be used in class discussions, too.

Reviewed by George Woodbury, Graduate Student, Miami University, Ohio on 6/20/17

This text covers the typical areas for an undergraduate psychology course in research design. There is no table of contents included with the downloadable version, although there is a table of contents on the website (which excludes sub-sections of chapters). The sections on statistics are not extensive enough to be useful in and of themselves, but they are useful for transitions to a follow-up statistics course. There does not seem to be a glossary of terms, which made it difficult at times for my read through and I assume later for students who decide to print the text. The text is comprehensive without being wordy or tedious.

Relatively minor errors; There does not seem to be explicit cultural or methodological bias in the text.

The content is up-to-date, and examples from the psychology literature are generally within the last 25 years. Barring extensive restructuring in the fundamentals of methodology and design in psychology, any updates will be very easy to implement.

Text will be very clear and easy to read for students fluent in English. There is little jargon/technical terminology used, and the vocabulary that is provided in the text is contemporary

There do not seem to be obvious shifts in the terminology or the framework. The text is internally consistent in that regard.

The text is well divided into chapter and subsections. Each chapter is relatively self-contained, so there are little issues with referring to past material that may have been skipped. The learning objectives at the beginning of the chapter are very useful. Blocks of text are well divided with headings.

As mentioned above, the topics of the text follow the well-established trajectory of undergraduate psychology courses. This makes it very logical and clear.

The lack of a good table of contents made it difficult to navigate the text for my read through. There were links to an outside photo-hosting website (flickr) for some of the stock photos, which contained the photos of the original creators of the photos. This may be distracting or confusing to readers. However, the hyperlinks in general helped with navigation with the PDF.

No more grammatical errors than a standard, edited textbook.

Very few examples explicitly include other races, ethnicities, or backgrounds, however the examples seem to intentionally avoid cultural bias. Overall, the writing seems to be appropriately focused on avoiding culturally insensitive or offensive content.

After having examined several textbooks on research design and methodology related to psychology, this book stands out as superior.

Reviewed by Angela Curl, Assistant Professor, Miami University (Ohio) on 6/20/17

"Research Methods in Psychology" covers most research method topics comprehensively. The author does an excellent job explaining main concepts. The chapter on causation is very detailed and well-written as well as the chapter on research ethics. However, the explanations of data analysis seem to address upper level students rather than beginners. For example, in the “Describing Statistical Relationships” chapter, the author does not give detailed enough explanations for key terms. A reader who is not versed in research terminology, in my opinion, would struggle to understand the process. While most topics are covered, there are some large gaps. For example, this textbook has very little content related to qualitative research methods (five pages).

The content appears to be accurate and unbias.

The majority of the content will not become obsolete within a short time period-- many of the information can be used for the coming years, as the information provided is, overall, general in nature. The notably exceptions are the content on APA Code of Ethics and the APA Publication Manual, which both rely heavily on outdated versions, which limits the usefulness of these sections. In addition, it would be helpful to incorporate research studies that have been published after 2011.

The majority of the text is clear, with content that is easy for undergraduate students to read and understand. The key points included in the chapters are helpful, but some chapters seem to be missing key points (i.e., the key points do not accurately represent the overall chapter).

The text seems to be internally consistent in its terminology and organization.

Each chapter is broken into subsections that can be used alone. For example, section 5.2 covers reliability and validity of measurement. This could be extremely helpful for educators to select specific content for assigned readings.

The topics are presented in a logical matter for the most part. However, the PDF version of the book does not include a table of contents, and none of the formats has a glossary or index. This can make it difficult to quickly navigate to specific topics or terms, especially when explanations do not appear where expected. For example, the definitions of independent and dependent variables is provided under the heading “Correlation Does Not Imply Causation” (p. 22).

The text is consistent but needs more visual representations throughout the book, rather than heavily in some chapters and none at all in other chapters. Similarly, the text within the chapters is not easily readable due to the large sections of text with little to no graphics or breaks.

The interface of the text is adequate. However, the formatting of the PDF is sometimes weak. For example, the textbook has a number of pages with large blank spaces and other pages are taken up with large photos or graphics. The number of pages (and cost of printing) could have been reduced, or more graphics added to maximize utility.

I found no grammatical errors.

Text appears to be culturally sensitive. I appreciated the inclusion of the content about avoiding biased language (chapter 11).

Instructors who adopt this book would likely benefit from either selecting certain chapters/modules and/or integrating multiple texts together to address the shortcomings of this text. Further, the sole focus on psychology limits the use of this textbook for introductory research methods for other disciplines (e.g., social work, sociology).

Reviewed by Pramit Nadpara, Assistant Professor, Virginia Commonwealth University on 4/11/17

The text book provides good information in certain areas, while not comprehensive information in other areas. The text provides practical information, especially the section on survey development was good. Additional information on sampling... read more

There are no errors.

Research method is a common topic and the fundamentals of it will not change over the years. Therefore, the book is relevant and will not become obsolete.

Clarity rating: 3

The text in the book is clear. Certain aspects of the text could have been presented more clearly. For example, the section on main effects and interactions are some concepts that students may have difficulty understanding. Those areas could be explained more clearly with an example.

Consistency rating: 3

Graphs in the book lacks titles and variable names. Also, the format of chapter title page needs to be consistent.

At times there were related topics spread across several chapters. This could be corrected for a better read by the audience..

The book text is very clear, and the flow from one topic to the next was adequate. However, having a outline would help the reader.

The PDF copy of the book was a easy read. There were few links that were missing though.

There were no grammatical errors.

The text is not offensive and examples in it are mostly based on historical US based experiments.

I would start of by saying that I am a supporter of the Open Textbook concept. In this day and age, there are a variety of Research Methods book/text available on the market. While this book covers research methods basics, it cannot be recommended in its current form as an acceptable alternative to the standard text. Modifications to the text as recommended by myself and other reviewers might improve the quality of this book in the future.

Reviewed by Meghan Babcock, Instructor, University of Texas at Arlington on 4/11/17

This text includes all important areas that are featured in other Research Methods textbooks and are presented in a logical order. The text includes great examples and provides the references which can be assigned as supplemental readings. In addition, the chapters end with exercises that can be completed in class or as part of a laboratory assignment. This text would be a great addition to a Research Methods course or an Introductory Statistics course for Psychology majors.

The content is accurate. I did not find any errors and the material is unbiased.

Yes - the content is up to date and would be easy to update if/when necessary.

The text is written at an appropriate level for undergraduate students and explains important terminology. The research studies that the author references are ones that undergraduate psychology majors should be familiar with. The only section that was questionable to me was that on multiple regression in section 8.3 (Complex Correlational Designs). I am unaware of other introductory Research Methods textbooks that cover this analysis, especially without describing simple regression first.

The text is consistent in terms of terminology. The framework is also consistent - the chapters begin with Learning Objectives and ends with Key Takeaways and Exercises.

The text is divisible into smaller reading sections - possibly too many. The sections are brief, and in some instances too brief (e.g., the section on qualitative research). I think that the section headers are helpful for instructors who plan on using this text in conjunction with another text in their course.

The topics were presented in a logical fashion and are similar to other published Research Methods texts. The writing is very clear and great examples are provided. I think that some of the sections are rather brief and more information and examples could be provided.

I did not see any interface issues. All of the links worked properly and the tables and figures were accurate and free of errors. I particularly liked the figures in section 5.2 on reliability of measurement.

There are three comments that I have about the interface, however. First, I was expecting the keywords in blue font to be linked to a glossary, but they were not. I would have appreciated this feature. Second, I read this text as a PDF on an iPad and this version lacking was the Table of Contents (TOC) feature. Although I was able to view the TOC in different versions, I would have appreciated it in the PDF version. Also, it would be nice if the TOC was clickable (i.e., you could click on a section and it automatically directed you to that section). Third, I think the reader of this text would benefit from a glossary at the end of each chapter and/or an index at the end of the text. The "Key Takeaways" sections at the end of each chapter were helpful, but I think that a glossary would be a nice addition as well.

I did not notice any grammatical errors of any kind. The text was easy to read and I think that undergraduate students would agree.

The text was not insensitive or offensive to any races, ethnicities, or backgrounds. I appreciated the section on avoiding biased language when writing manuscripts (e.g., using 'children with learning disabilities' instead of 'special children' or using 'African American' instead of 'minority').

I think that this text would be a nice addition to a Research Methods & Statistics course in psychology. There are some sections that I found particularly helpful: (1) 2.2 and 2.3 - the author gives detailed information about generating research questions and reviewing the literature; (2) 9.2 - this section focuses on constructing survey questionnaires; (3) 11.2 and 11.3 - the author talks about writing a research report and about presenting at conferences. These sections will be great additions to an undergraduate Research Methods course. The brief introduction to APA style was also helpful, but should be supplemented with the most recent APA style manual.

Reviewed by Shannon Layman, Lecturer, University of Texas at Arlington on 4/11/17

The sections in this textbook are overall more brief than in previous Methods texts that I have used. Sometimes this brevity is helpful in terms of getting to the point of the text and moving on. In other cases, some topics could use a bit more... read more

I did not find any incorrect information or gross language issues.

Basic statistical and/or methodological texts tend to stay current and up-to-date because the topics in this field have not changed over the decades. Any updated methodologies would be found in a more advanced methods text.

The text is very clear and the ideas are easy to follow/ presented in a logical manner. The most helpful thing about this textbook is that the author arrives at the point of the topic very quickly. Another helpful point about this textbook is the relevancy of the examples used. The examples appear to be accessible to a wide audience and do not require specialization or previous knowledge of other fields of psychology.

I feel this text is very consistent throughout. The ideas build on each other and no terms are discussed in later chapters without being established in previous chapters.

Each chapter had multiple subsections which would allow for smaller reading sections throughout the course. The amount of content in each section and chapter appeared to be less than what I have encountered in other Methods texts.

The organization of the topics in this textbook follows the same or similar organization that I see in other textbooks. As I mentioned previously, the ideas build very well throughout the text.

I did not find any issues with navigation or distortion of the figures in the text.

There were not any obvious and/or egregious grammatical errors that I encountered in this text.

This topic is not really an issue with a Methods textbook as the topics are more so conceptual as opposed to topical. That being said, I did not see an issue with any examples used.

I have no other comments than what I addressed previously.

Reviewed by Sarah Allred, Associate Professor, Rutgers University, Camden on 2/8/17

Mixed. For some topics, there is more (and more practical) information than in most textbooks. I appreciated the very practical advice to students about how to plot data (in statistics chapters). Similarly, there is practical advice about how... read more

On the other hand, there is far too little information about some subjects. For example, independent and dependent variables are introduced in passing in an early chapter and then referred to only much later in the text. In my experience, students have a surprisingly difficult time grasping this concept. Another important example is sampling; I would have preferred much more information on types of samples and sampling techniques, and the problems that arise from poor sampling. A third example is the introduction to basic experimental design. Variables, measurement, validity, and reliability are all introduced in one chapter.

I did not see an index or glossary.

I found no errors.

The fundamentals of research methods do not change much. Given the current replication crisis in psychology, it might be helpful to have something about replicability.

Mixed. The text itself is spare and clear. The style of the book is to explain a concept in very few words. There are some excellent aspects of this, but on the other hand, there are some concepts that students have a very difficult time undersatnding if they are not embedded in concrete examples. For example, the section on main effects and interactions shows bar graphs of interactions, but this is presented without variable names or axis titles, and separate from any specific experiment.

Sometimes the chapter stucture is laid out on the title page, and other times it is not. Some graphs lack titles and variable names.

The chapters can be stand alone, but sometimes I found conceptually similar pieces spread across several chapters, and conceptually different pieces in the same chapters.

The individual sentences and paragraphs are always very clear. However, I felt that more tables/outlines of major concepts would have been helpful. For example, perhaps a flow chart of different kinds of experimental designs would be useful. (See section on comprehensiveness for more about organization).

The flow from one topic to the next was adequate.

I read the pdf. Perhaps the interface is more pleasant on other devices, but I found the different formats and fonts in image/captions/main text/figure labels distracting. Many if the instances of apparently hyperlinked (blue) text to do not link to anything.

I found no grammatical errors, and prose is standard academic English.

Like most psychology textbooks available in the US, examples are focused on important experiments in US history.

I really wanted to be happy with this text. I am a supporter of the Open Textbook concept, and I wanted to find this book an acceptable alternative to the variety of Research Methods texts I’ve used. Unfortunately, I cannot recommend this book as superior in quality.

Reviewed by Joel Malin, Assistant Professor, Miami University on 8/21/16

This textbook covers all or nearly all of what I believe are important topics to provide an introduction to research methods in psychology. One minor issue is that the pdf version, which I reviewed, does not include an index or a glossary. As such, it may be difficult for readers to zero in on material that they need, and/or to get a full sense of what will be covered and in what order.

I did not notice errors.

The book provides a solid overview of key issues related to introductory research methods, many of which are nearly timeless.

The writing is clear and accessible. It was easy and pleasing to read.

Terms are clearly defined and build upon each other as the book progresses.

I believe the text is organized in such a way that it could be easily divided into smaller sections.

The order in which material is presented seems to be well thought out and sensible.

I did not notice any issues with the interface. I reviewed the pdf version and thought the images were very helpful.

The book is written in a culturally relevant manner.

Reviewed by Abbey Dvorak, Assistant Professor, University of Kansas on 8/21/16

The text includes basic, essential information needed for students in an introductory research methods course. In addition, the text includes three chapters (i.e., research ethics, theory, and APA style) that are typically absent from or inadequately covered in similar texts. However, I did have some areas of concern regarding the coverage of qualitative and mixed methods approaches, and nonparametric tests. Although the author advocates for the research question to guide the choice of approach and design, minimal attention is given to the various qualitative designs (e.g., phenomenology, narrative, participatory action, etc.) beyond grounded theory and case studies, with no mention of the different types of mixed methods designs (e.g., concurrent, explanatory, exploratory) that are prevalent today. In addition, common nonparametric tests (e.g., Wilcoxon, Mann-Whitney, etc.) and parametric tests for categorical data (e.g., chi-square, Fisher’s exact, etc.) are not mentioned.

The text overall is accurate and free of errors. I noticed in the qualitative research sub-section, the author describes qualitative research in general, but does not mention common practices associated with qualitative research, such as transcribing interviews, coding data (e.g., different approaches to coding, different types of codes), and data analysis procedures. The information that is included appears accurate.

The text appears up-to-date and includes basic research information and classic examples that rarely change, which may allow the text to be used for many years. However, the author may want to add information about mixed methods research, a growing research approach, in order for the text to stay relevant across time.

The text includes clear, accessible, straightforward language with minimal jargon. When the author introduces a new term, the term is immediately defined and described. The author also provides interesting examples to clarify and expand understanding of terms and concepts throughout the text.

The text is internally consistent and uses similar language and vocabulary throughout. The author uses real-life examples across chapters in order to provide depth and insight into the information. In addition, the vocabulary, concepts, and organization are consistent with other research methods textbooks.

The modules are short, concise, and manageable for students; the material within each module is logically focused and related to each other. I may move the modules and the sub-topics within them into a slightly different order for my class, and add the information mentioned above, but overall, this is very good.

The author presents topics and structures chapters in a logical and organized manner. The epub and online version do not include page numbers in the text, but the pdf does; this may be confusing when referencing the text or answering student questions. The book ends somewhat abruptly after the chapter on inferential statistics; the text may benefit from a concluding chapter to bring everything together, perhaps with a culminating example that walks the reader through creating the research question, choosing a research approach/design, etc., all the way to writing the research report.

I used and compared the pdf, epub, and online versions of the text. The epub and online versions include a clickable table of contents, but the pdf does not. The table format is inconsistent across the three versions; in the epub version (viewed through ibooks), the table data does not always line up correctly, making it difficult to interpret quickly. In the pdf and online versions, the table format looks different, but the data are lined up. No index made it difficult to quickly find areas of interest in the text; however, I could use the Find/Search functions in all three versions to search and find needed items.

As I read through this text, I did not detect any glaring grammatical errors. Overall, I think the text is written quite well in a style that is accessible to students.

The author uses inclusive, person-first language, and the text does not seem to be offensive or insensitive. As I read, I did notice that topics such as diversity and cultural competency are absent.

I enjoyed reading this text and am very excited to have a free research methods text for my students that I may supplement as needed. I wish there was a test question bank and/or flashcards for my students to help them study, but perhaps that could be added in the future. Overall, this is a great resource!

Reviewed by Karen Pikula, Psychology Instructor PhD, Central Lakes College on 1/7/16

The text covers all the areas and ideas of the subject of research methods in psychology for the learner that is just entering the field. The authors cover all of the content of an introductory research methods textbook and use exemplary examples that make those concepts relevent to a beginning researcher. As the authors state, the material is presented in such a manner as to encourage learners to not only be effective consumers of current research but also engage as critical thinkers in the many diverse situations one encounters in everyday life.

The content is accurate, error free, and unbiased. It explains both quantiative and qualitative methods in an unbiased manner. It is a bit slim on qualitative. It would be nice to have a bit more information on, for example, creating interview questions, coding, and qualitative data anaylisis.

The text is up to date, having just been revised. This revision was authored by Rajiv Jhangiani (Capilano University, North Vancouver) and includes the addition of a table of contents and cover page that the original text did not have, changes to Chapter 3 (Research Ethics) to include a contemporary example of an ethical breach and to reflect Canadian ethical guidelines and privacy laws, additional information regarding online data collection in Chapter 9 (Survey Research). Jhangiani has correcte of errors in the text and formulae, as well as changing spelling from US to Canadian conventions. The text is also now available in a inexpensive hard copy which students can purchase online or college bookstores can stock. This makes the text current and updates should be minimal.

The text is very easy to read and also very interesting as the authors supplement content with amazing real life examples.

The text is internally consistent in terms of terminology and framework.

This text is easily and readily divisible into smaller reading sections that can be assigned at different points within a course. I am going to use this text in conjunction with the OER OpenStax Psychology text for my Honors Psychology course. I currently use the OER Openstax Psychology textbook for my Positive Psychology course as well as my General Psychology course,

The topics in the text are presented in logical and clear fashion. The way they are presented allows the text to be used in conjuction with other textbooks as a secondary resource.

The text is free of significant interface issues. It is written in a manner that follows the natural process of doing research.

The text contained no noted grammatical errors.

The text is not culturally insensitive or offensive and actually has been revised to accomodate Canadian ethical guidelines as well as those of the APA.

I have to say that I am excited to have found this revised edition. My students will be so happy that there is also a reasonable priced hard coopy for them to purchase. They love the OpenStax Psychology text with the hard copy available from our bookstore. I do wish there were PowerPoints available for the text as well as a test bank. That is always a bonus!

Reviewed by Alyssa Gibbons, Instructor, Colorado State University on 1/7/16

This text covers everything I would consider essential for a first course in research methods, including some areas that are not consistently found in introductory texts (e.g., qualitative research, criticisms of null hypothesis significance testing). The chapters on ethics (Ch. 3) and theory (Ch. 4) are more comprehensive than most I have seen at this level, but not to the extent of information overload; rather, they anticipate and address many questions that undergraduates often have about these issues.

There is no index or table of contents provided in the PDF, and the table of contents on the website is very broad, but the material is well organized and it would not be hard for an instructor to create such a table. Chapter 2.1 is intended to be an introduction to several key terms and ideas (e.g., variable, correlation) that could serve as a sort of glossary.

I found the text to be highly accurate throughout; terms are defined precisely and correctly.

Where there are controversies or differences of opinion in the field, the author presents both sides of the argument in a respectful and unbiased manner. He explicitly discourages students from dismissing any one approach as inherently flawed, discussing not only the advantages and disadvantages of all methods (including nonexperimental ones) but also ways researchers address the disadvantages.

In several places, the textbook explicitly addresses the history and development of various methods (e.g., qualitative research, null hypothesis significance testing) and the ways in which researchers' views have changed. This allows the author to present current thinking and debate in these areas yet still expose students to older ideas they are likely to encounter as they read the research literature. I think this approach sets students up well to encounter future methodological advances; as a field, we refine our methods over time. I think the author could easily integrate new developments in future editions, or instructors could introduce such developments as supplementary material without creating confusion by contradicting the test.

The examples are generally drawn from classic psychological studies that have held up well over time; I think they will appeal to students for some time to come and not appear dated.

The only area in which I did not feel the content was entirely up to date was in the area of psychological measurement; Chapter 5.2 is based on the traditional view and not the more comprehensive modern or holistic view as presented in the 1999 AERA/APA Standards for Educational and Psychological Measurement. However, a comprehensive treatment of measurement validity is probably not necessary for most undergraduates at this stage, and they will certainly encounter the older framework in the research literature.

The textbook does an excellent job of presenting concepts in simple, accessible language without introducing error by oversimplification. The author consistently anticipates common points of confusion, clarifies terms, and even suggests ways for students to remember key distinctions. Terms are clearly and concretely defined when they are introduced. In contrast to many texts I have used, the terms that are highlighted in the text are actually the terms I would want my students to remember and study; the author refrains from using psychological jargon that is not central to the concepts he is discussing.

I noticed no major inconsistencies or gaps.

The division of sections within each chapter is useful; although I liked the overall organization of the text, there were points at which I would likely assign sections in a slightly different order and I felt I could do this easily without loss of continuity. The one place I would have liked more modularity was in the discussion of inferential statistics: t-tests, ANOVA, and Pearson's r are all covered within Chapter 13.2. On the one hand, this enables students to see the relationships and similarities among these tests, but on the other, this is a lot for students to take in at once.

I found the overall organization of the book to be quite logical, mirroring the sequence of steps a researcher would use to develop a research question, design a study, etc. As discussed above, the modularity of the book makes it easy to reorder sections to suit the structure of a particular class (for example, I might have students read the section on APA writing earlier in the semester as they begin drafting their own research proposals). I like the inclusion of ethics very early on in the text, establishing the importance of this topic for all research design choices.

One organizational feature I particularly appreciated was the consistent integration of conceptual and practical ideas; for example, in the discussion of psychological measurement, reliability and validity are discussed alongside the importance of giving clear instructions and making sure participants cannot be identified by their writing implements. This gives students an accurate and honest picture of the research process - some of the choices we make are driven by scientific ideals and some are driven by practical lessons learned. Students often have questions related to these mundane aspects of conducting research and it is helpful to have them so clearly addressed.

Although I didn't encounter any problems per se with the interface, I do think it could be made more user-friendly. For example, references to figures and tables are highlighted in blue, appearing to be hyperlinks, but they were not. Having such links, as well as a linked, easily-navigable and detailed table of contents, would also be helpful (and useful to students who use assistive technology).

I noticed no grammatical errors.

Where necessary, the author uses inclusive language and there is nothing that seems clearly offensive. The examples generally reflect American psychology research, but the focus is on the methods used and not the participants or cultural context. The text could be more intentionally or proactively inclusive, but it is not insensitive or exclusive.

I am generally hard to please when it comes to textbooks, but I found very little to quibble with in this one. It is a very well-written and accessible introduction to research methods that meets students where they are, addressing their common questions, misconceptions, and concerns. Although it's not flashy, the figures, graphics, and extra resources provided are clear, helpful, and relevant.

Reviewed by Moin Syed, Assistant Professor, University of Minnesota on 6/10/15

The text is thorough in terms of covering introductory concepts that are central to experimental and correlational/association designs. I find the general exclusion of qualitative and mixed methods designs hard to defend (despite some researchers’ distaste for the methods). While these approaches were less commonly used in the recent past, they are prevalent in the early years of psychology and are ascending once again. It strikes me as odd to just ignore two whole families of methods that are used within the practice of psychology—definitely not a sustainable approach.

I do very much appreciate the emphasis on those who will both practice and consume psychology, given the wide variety of undergraduate career paths.

One glaring omission is a Table of Contents within the PDF. It would be nice to make this a linked PDF, so that clicking on the entry in a TOC (or cross-references) would jump the reader to the relevant section.

I did not see an errors. The chapter on theory is not as clear as it could be. The section “what is theory” is not very clear, and these are difficulte concepts (difference between theory, hypothesis, etc.). A bit more time spent here could have been good. Also, the discussion of functional, mechanistic, and typological theories leaves out the fourth of Pepper’s metaphors: contextualism. I’m not sure that was intentional and accidental, but it is noticeable!

This is a research methods text focused on experimental and association designs. The basics of these designs do not change a whole lot over time, so there is little likelihood that the main content will become obsolete anytime soon. Some of the examples used are a bit dated, but then again most of them are considered “classics” in the field, which I think are important to retain (and there is at least one “new classic” included in the ethics section, namely the fraudulent research linking autism to the MMR vaccine).

The text is extremely clear and accessible. In fact, it may even be *too* simple for undergraduate use. Then again, students often struggle with methods, so simplicity is good, and the simplicity can also make the book marketable to high school courses (although I doubt many high schools have methods courses).

Yes, quite consistent throughout. Carrying through the same examples into different chapters is a major strength of the text.

I don’ anticipate any problems here.

The book flows well, with brief sections. I do wonder if maybe the sections are too brief? Perhaps too many check-ins? The “key take-aways” usually come after only a few pages. As mentioned above, the book is written at a very basic level, so this brevity is consistent with that approach. It is not a problem, per se, but those considering adopting the text should be aware of this aspect.

No problems here.

I did not detect any grammatical errors. The text flows very well.

The book is fairly typical of American research methods books in that it only focuses on the U.S. context and draws its examples from “mainstream” psychology (e.g., little inclusion of ethnic minority or cross-cultural psychology). However, the text is certainly not insensitive or offensive in any way.

Nice book, thanks for writing it!

Reviewed by Rajiv Jhangiani, Instructor, Capilano University on 10/9/13

The text is well organized and written, integrates excellent pedagogical features, and covers all of the traditional areas of the topic admirably. The final two chapters provide a good bridge between the research methods course and the follow-up course on behavioural statistics. The text integrates real psychological measures, harnesses students' existing knowledge from introductory psychology, includes well-chosen examples from real life and research, and even includes a very practical chapter on the use of APA style for writing and referencing. On the other hand, it does not include a table of contents or an index, both of which are highly desirable. The one chapter that requires significant revision is Chapter 3 (Research Ethics), which is based on the US codes of ethics (e.g., Federal policy & APA code) and does not include any mention of the Canadian Tri-Council Policy Statement.

The very few errors I found include the following: 1. The text should read "The fact that his F score…" instead of "The fact that his t score…" on page 364 2. Some formulae are missing the line that separates the numerator from the denominator. See pages 306, 311, 315, and 361 3. Table 12.3 on page 310 lists the variance as 288 when it is 28.8

The text is up-to-date and will not soon lose relevance. The only things I would add are a brief discussion of the contemporary case of Diederik Stapel's research fraud in the chapter on Research Ethics, as well as some research concerning the external validity of web-based studies (e.g., Gosling et al.'s 2004 article in American Psychologist).

Overall, the style of writing makes this text highly accessible. The writing flows well, is well organized, and includes excellent, detailed, and clear examples and explanations for concepts. The examples often build on concepts or theories students would have covered in their introductory psychology course. Some constructive criticism: 1. When discussing z scores on page 311 it might have been helpful to point out that the mean and SD for a set of calculated z scores are 0 and 1 respectively. Good students will come to this realization themselves, but it is not a bad thing to point it out nonetheless. 2. The introduction of the concept of multiple regression might be difficult for some students to grasp. 3. The only place where I felt short of an explanation was in the use of a research example to demonstrate the use of a line graph on page 318. In this case the explanation in question does not pertain to the line graph itself but the result of the study used, which is so fascinating that students will wish for the researchers' explanation for it.

The text is internally consistent.

The text is organized very well into chapters, modules within each chapter, and learning objectives within each module. Each module also includes useful exercises that help consolidate learning.

As mentioned earlier, the style of writing makes this text highly accessible. The writing flows well, is well organized, and includes excellent, detailed, and clear examples and explanations for concepts. The examples often build on concepts or theories students would have covered in their introductory psychology course. Only rarely did I feel that the author could have assisted the student by demonstrating the set-by-step calculation of a statistic (e.g., on page 322 for the calculation of Pearson's r)

The images, graphs, and charts are clear. The only serious issues that hamper navigation are the lack of a table of contents and an index. Many of the graphs will need to be printed in colour (or otherwise modified) for the students to follow the explanations provided in the text.

The text is written rather well and is free from grammatical errors. Of course, spellings are in the US convention.

The text is not culturally insensitive or offensive. Of course, it is not a Canadian edition and so many of the examples (all of which are easy to comprehend) come from a US context.

I have covered most of these issues in my earlier comments. The only things left to mention are that the author should have clearly distinguished between mundane and psychological realism, and that, in my opinion, the threats to internal validity could have been grouped together and might have been closer to an exhaustive list. This review originated in the BC Open Textbook Collection and is licensed under CC BY-ND.

Chapter 1: The Science of Psychology
Chapter 2: Overview of the Scientific Method
Chapter 3: Research Ethics
Chapter 4: Psychological Measurement
Chapter 5: Experimental Research
Chapter 6: Non-experimental Research
Chapter 7: Survey Research
Chapter 8: Quasi-Experimental Research
Chapter 9: Factorial Designs
Chapter 10: Single-Subject Research
Chapter 11: Presenting Your Research
Chapter 12: Descriptive Statistics
Chapter 13: Inferential Statistics

Ancillary Material

Kwantlen Polytechnic University

About the Book

This fourth edition (published in 2019) was co-authored by Rajiv S. Jhangiani (Kwantlen Polytechnic University), Carrie Cuttler (Washington State University), and Dana C. Leighton (Texas A&M University—Texarkana) and is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Revisions throughout the current edition include changing the chapter and section numbering system to better accommodate adaptions that remove or reorder chapters; continued reversion from the Canadian edition; general grammatical edits; replacement of “he/she” to “they” and “his/her” to “their”; removal or update of dead links; embedded videos that were not embedded; moved key takeaways and exercises from the end of each chapter section to the end of each chapter; a new cover design.

About the Contributors

Dr. Carrie Cuttler received her Ph.D. in Psychology from the University of British Columbia. She has been teaching research methods and statistics for over a decade. She is currently an Assistant Professor in the Department of Psychology at Washington State University, where she primarily studies the acute and chronic effects of cannabis on cognition, mental health, and physical health. Dr. Cuttler was also an OER Research Fellow with the Center for Open Education and she conducts research on open educational resources. She has over 50 publications including the following two published books: A Student Guide for SPSS (1st and 2nd edition) and Research Methods in Psychology: Student Lab Guide. Finally, she edited another OER entitled Essentials of Abnormal Psychology. In her spare time, she likes to travel, hike, bike, run, and watch movies with her husband and son. You can find her online at @carriecuttler or carriecuttler.com.

Dr. Rajiv Jhangiani is the Associate Vice Provost, Open Education at Kwantlen Polytechnic University in British Columbia. He is an internationally known advocate for open education whose research and practice focuses on open educational resources, student-centered pedagogies, and the scholarship of teaching and learning. Rajiv is a co-founder of the Open Pedagogy Notebook, an Ambassador for the Center for Open Science, and serves on the BC Open Education Advisory Committee. He formerly served as an Open Education Advisor and Senior Open Education Research & Advocacy Fellow with BCcampus, an OER Research Fellow with the Open Education Group, a Faculty Workshop Facilitator with the Open Textbook Network, and a Faculty Fellow with the BC Open Textbook Project. A co-author of three open textbooks in Psychology, his most recent book is Open: The Philosophy and Practices that are Revolutionizing Education and Science (2017). You can find him online at @thatpsychprof or thatpsychprof.com.

Dr. Dana C. Leighton is Assistant Professor of Psychology in the College of Arts, Science, and Education at Texas A&M University—Texarkana. He earned his Ph.D. from the University of Arkansas, and has 15 years experience teaching across the psychology curriculum at community colleges, liberal arts colleges, and research universities. Dr. Leighton’s social psychology research lab studies intergroup relations, and routinely includes undergraduate students as researchers. He is also Chair of the university’s Institutional Review Board. Recently he has been researching and writing about the use of open science research practices by undergraduate researchers to increase diversity, justice, and sustainability in psychological science. He has published on his teaching methods in eBooks from the Society for the Teaching of Psychology, presented his methods at regional and national conferences, and received grants to develop new teaching methods. His teaching interests are in undergraduate research, writing skills, and online student engagement. For more about Dr. Leighton see http://www.danaleighton.net and http://danaleighton.edublogs.org

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Front Res Metr Anal

The Use of Research Methods in Psychological Research: A Systematised Review

Salomé elizabeth scholtz.

1 Community Psychosocial Research (COMPRES), School of Psychosocial Health, North-West University, Potchefstroom, South Africa

Werner de Klerk

Leon t. de beer.

2 WorkWell Research Institute, North-West University, Potchefstroom, South Africa

Research methods play an imperative role in research quality as well as educating young researchers, however, the application thereof is unclear which can be detrimental to the field of psychology. Therefore, this systematised review aimed to determine what research methods are being used, how these methods are being used and for what topics in the field. Our review of 999 articles from five journals over a period of 5 years indicated that psychology research is conducted in 10 topics via predominantly quantitative research methods. Of these 10 topics, social psychology was the most popular. The remainder of the conducted methodology is described. It was also found that articles lacked rigour and transparency in the used methodology which has implications for replicability. In conclusion this article, provides an overview of all reported methodologies used in a sample of psychology journals. It highlights the popularity and application of methods and designs throughout the article sample as well as an unexpected lack of rigour with regard to most aspects of methodology. Possible sample bias should be considered when interpreting the results of this study. It is recommended that future research should utilise the results of this study to determine the possible impact on the field of psychology as a science and to further investigation into the use of research methods. Results should prompt the following future research into: a lack or rigour and its implication on replication, the use of certain methods above others, publication bias and choice of sampling method.

Introduction

Psychology is an ever-growing and popular field (Gough and Lyons, 2016 ; Clay, 2017 ). Due to this growth and the need for science-based research to base health decisions on (Perestelo-Pérez, 2013 ), the use of research methods in the broad field of psychology is an essential point of investigation (Stangor, 2011 ; Aanstoos, 2014 ). Research methods are therefore viewed as important tools used by researchers to collect data (Nieuwenhuis, 2016 ) and include the following: quantitative, qualitative, mixed method and multi method (Maree, 2016 ). Additionally, researchers also employ various types of literature reviews to address research questions (Grant and Booth, 2009 ). According to literature, what research method is used and why a certain research method is used is complex as it depends on various factors that may include paradigm (O'Neil and Koekemoer, 2016 ), research question (Grix, 2002 ), or the skill and exposure of the researcher (Nind et al., 2015 ). How these research methods are employed is also difficult to discern as research methods are often depicted as having fixed boundaries that are continuously crossed in research (Johnson et al., 2001 ; Sandelowski, 2011 ). Examples of this crossing include adding quantitative aspects to qualitative studies (Sandelowski et al., 2009 ), or stating that a study used a mixed-method design without the study having any characteristics of this design (Truscott et al., 2010 ).

The inappropriate use of research methods affects how students and researchers improve and utilise their research skills (Scott Jones and Goldring, 2015 ), how theories are developed (Ngulube, 2013 ), and the credibility of research results (Levitt et al., 2017 ). This, in turn, can be detrimental to the field (Nind et al., 2015 ), journal publication (Ketchen et al., 2008 ; Ezeh et al., 2010 ), and attempts to address public social issues through psychological research (Dweck, 2017 ). This is especially important given the now well-known replication crisis the field is facing (Earp and Trafimow, 2015 ; Hengartner, 2018 ).

Due to this lack of clarity on method use and the potential impact of inept use of research methods, the aim of this study was to explore the use of research methods in the field of psychology through a review of journal publications. Chaichanasakul et al. ( 2011 ) identify reviewing articles as the opportunity to examine the development, growth and progress of a research area and overall quality of a journal. Studies such as Lee et al. ( 1999 ) as well as Bluhm et al. ( 2011 ) review of qualitative methods has attempted to synthesis the use of research methods and indicated the growth of qualitative research in American and European journals. Research has also focused on the use of research methods in specific sub-disciplines of psychology, for example, in the field of Industrial and Organisational psychology Coetzee and Van Zyl ( 2014 ) found that South African publications tend to consist of cross-sectional quantitative research methods with underrepresented longitudinal studies. Qualitative studies were found to make up 21% of the articles published from 1995 to 2015 in a similar study by O'Neil and Koekemoer ( 2016 ). Other methods in health psychology, such as Mixed methods research have also been reportedly growing in popularity (O'Cathain, 2009 ).

A broad overview of the use of research methods in the field of psychology as a whole is however, not available in the literature. Therefore, our research focused on answering what research methods are being used, how these methods are being used and for what topics in practice (i.e., journal publications) in order to provide a general perspective of method used in psychology publication. We synthesised the collected data into the following format: research topic [areas of scientific discourse in a field or the current needs of a population (Bittermann and Fischer, 2018 )], method [data-gathering tools (Nieuwenhuis, 2016 )], sampling [elements chosen from a population to partake in research (Ritchie et al., 2009 )], data collection [techniques and research strategy (Maree, 2016 )], and data analysis [discovering information by examining bodies of data (Ktepi, 2016 )]. A systematised review of recent articles (2013 to 2017) collected from five different journals in the field of psychological research was conducted.

Grant and Booth ( 2009 ) describe systematised reviews as the review of choice for post-graduate studies, which is employed using some elements of a systematic review and seldom more than one or two databases to catalogue studies after a comprehensive literature search. The aspects used in this systematised review that are similar to that of a systematic review were a full search within the chosen database and data produced in tabular form (Grant and Booth, 2009 ).

Sample sizes and timelines vary in systematised reviews (see Lowe and Moore, 2014 ; Pericall and Taylor, 2014 ; Barr-Walker, 2017 ). With no clear parameters identified in the literature (see Grant and Booth, 2009 ), the sample size of this study was determined by the purpose of the sample (Strydom, 2011 ), and time and cost constraints (Maree and Pietersen, 2016 ). Thus, a non-probability purposive sample (Ritchie et al., 2009 ) of the top five psychology journals from 2013 to 2017 was included in this research study. Per Lee ( 2015 ) American Psychological Association (APA) recommends the use of the most up-to-date sources for data collection with consideration of the context of the research study. As this research study focused on the most recent trends in research methods used in the broad field of psychology, the identified time frame was deemed appropriate.

Psychology journals were only included if they formed part of the top five English journals in the miscellaneous psychology domain of the Scimago Journal and Country Rank (Scimago Journal & Country Rank, 2017 ). The Scimago Journal and Country Rank provides a yearly updated list of publicly accessible journal and country-specific indicators derived from the Scopus® database (Scopus, 2017b ) by means of the Scimago Journal Rank (SJR) indicator developed by Scimago from the algorithm Google PageRank™ (Scimago Journal & Country Rank, 2017 ). Scopus is the largest global database of abstracts and citations from peer-reviewed journals (Scopus, 2017a ). Reasons for the development of the Scimago Journal and Country Rank list was to allow researchers to assess scientific domains, compare country rankings, and compare and analyse journals (Scimago Journal & Country Rank, 2017 ), which supported the aim of this research study. Additionally, the goals of the journals had to focus on topics in psychology in general with no preference to specific research methods and have full-text access to articles.

The following list of top five journals in 2018 fell within the abovementioned inclusion criteria (1) Australian Journal of Psychology, (2) British Journal of Psychology, (3) Europe's Journal of Psychology, (4) International Journal of Psychology and lastly the (5) Journal of Psychology Applied and Interdisciplinary.

Journals were excluded from this systematised review if no full-text versions of their articles were available, if journals explicitly stated a publication preference for certain research methods, or if the journal only published articles in a specific discipline of psychological research (for example, industrial psychology, clinical psychology etc.).

The researchers followed a procedure (see Figure 1 ) adapted from that of Ferreira et al. ( 2016 ) for systematised reviews. Data collection and categorisation commenced on 4 December 2017 and continued until 30 June 2019. All the data was systematically collected and coded manually (Grant and Booth, 2009 ) with an independent person acting as co-coder. Codes of interest included the research topic, method used, the design used, sampling method, and methodology (the method used for data collection and data analysis). These codes were derived from the wording in each article. Themes were created based on the derived codes and checked by the co-coder. Lastly, these themes were catalogued into a table as per the systematised review design.

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Systematised review procedure.

According to Johnston et al. ( 2019 ), “literature screening, selection, and data extraction/analyses” (p. 7) are specifically tailored to the aim of a review. Therefore, the steps followed in a systematic review must be reported in a comprehensive and transparent manner. The chosen systematised design adhered to the rigour expected from systematic reviews with regard to full search and data produced in tabular form (Grant and Booth, 2009 ). The rigorous application of the systematic review is, therefore discussed in relation to these two elements.

Firstly, to ensure a comprehensive search, this research study promoted review transparency by following a clear protocol outlined according to each review stage before collecting data (Johnston et al., 2019 ). This protocol was similar to that of Ferreira et al. ( 2016 ) and approved by three research committees/stakeholders and the researchers (Johnston et al., 2019 ). The eligibility criteria for article inclusion was based on the research question and clearly stated, and the process of inclusion was recorded on an electronic spreadsheet to create an evidence trail (Bandara et al., 2015 ; Johnston et al., 2019 ). Microsoft Excel spreadsheets are a popular tool for review studies and can increase the rigour of the review process (Bandara et al., 2015 ). Screening for appropriate articles for inclusion forms an integral part of a systematic review process (Johnston et al., 2019 ). This step was applied to two aspects of this research study: the choice of eligible journals and articles to be included. Suitable journals were selected by the first author and reviewed by the second and third authors. Initially, all articles from the chosen journals were included. Then, by process of elimination, those irrelevant to the research aim, i.e., interview articles or discussions etc., were excluded.

To ensure rigourous data extraction, data was first extracted by one reviewer, and an independent person verified the results for completeness and accuracy (Johnston et al., 2019 ). The research question served as a guide for efficient, organised data extraction (Johnston et al., 2019 ). Data was categorised according to the codes of interest, along with article identifiers for audit trails such as authors, title and aims of articles. The categorised data was based on the aim of the review (Johnston et al., 2019 ) and synthesised in tabular form under methods used, how these methods were used, and for what topics in the field of psychology.

The initial search produced a total of 1,145 articles from the 5 journals identified. Inclusion and exclusion criteria resulted in a final sample of 999 articles ( Figure 2 ). Articles were co-coded into 84 codes, from which 10 themes were derived ( Table 1 ).

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Journal article frequency.

Codes used to form themes (research topics).


Social Psychology	31	Aggression SP, Attitude SP, Belief SP, Child abuse SP, Conflict SP, Culture SP, Discrimination SP, Economic, Family illness, Family, Group, Help, Immigration, Intergeneration, Judgement, Law, Leadership, Marriage SP, Media, Optimism, Organisational and Social justice, Parenting SP, Politics, Prejudice, Relationships, Religion, Romantic Relationships SP, Sex and attraction, Stereotype, Violence, Work
Experimental Psychology	17	Anxiety, stress and PTSD, Coping, Depression, Emotion, Empathy, Facial research, Fear and threat, Happiness, Humor, Mindfulness, Mortality, Motivation and Achievement, Perception, Rumination, Self, Self-efficacy
Cognitive Psychology	12	Attention, Cognition, Decision making, Impulse, Intelligence, Language, Math, Memory, Mental, Number, Problem solving, Reading
Health Psychology	7	Addiction, Body, Burnout, Health, Illness (Health Psychology), Sleep (Health Psychology), Suicide and Self-harm
Physiological Psychology	6	Gender, Health (Physiological psychology), Illness (Physiological psychology), Mood disorders, Sleep (Physiological psychology), Visual research
Developmental Psychology	3	Attachment, Development, Old age
Personality	3	Machiavellian, Narcissism, Personality
Psychological Psychology	3	Programme, Psychology practice, Theory
Education and Learning	1	Education and Learning
Psychometrics	1	Measure
Code Total	84

These 10 themes represent the topic section of our research question ( Figure 3 ). All these topics except, for the final one, psychological practice , were found to concur with the research areas in psychology as identified by Weiten ( 2010 ). These research areas were chosen to represent the derived codes as they provided broad definitions that allowed for clear, concise categorisation of the vast amount of data. Article codes were categorised under particular themes/topics if they adhered to the research area definitions created by Weiten ( 2010 ). It is important to note that these areas of research do not refer to specific disciplines in psychology, such as industrial psychology; but to broader fields that may encompass sub-interests of these disciplines.

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Topic frequency (international sample).

In the case of developmental psychology , researchers conduct research into human development from childhood to old age. Social psychology includes research on behaviour governed by social drivers. Researchers in the field of educational psychology study how people learn and the best way to teach them. Health psychology aims to determine the effect of psychological factors on physiological health. Physiological psychology , on the other hand, looks at the influence of physiological aspects on behaviour. Experimental psychology is not the only theme that uses experimental research and focuses on the traditional core topics of psychology (for example, sensation). Cognitive psychology studies the higher mental processes. Psychometrics is concerned with measuring capacity or behaviour. Personality research aims to assess and describe consistency in human behaviour (Weiten, 2010 ). The final theme of psychological practice refers to the experiences, techniques, and interventions employed by practitioners, researchers, and academia in the field of psychology.

Articles under these themes were further subdivided into methodologies: method, sampling, design, data collection, and data analysis. The categorisation was based on information stated in the articles and not inferred by the researchers. Data were compiled into two sets of results presented in this article. The first set addresses the aim of this study from the perspective of the topics identified. The second set of results represents a broad overview of the results from the perspective of the methodology employed. The second set of results are discussed in this article, while the first set is presented in table format. The discussion thus provides a broad overview of methods use in psychology (across all themes), while the table format provides readers with in-depth insight into methods used in the individual themes identified. We believe that presenting the data from both perspectives allow readers a broad understanding of the results. Due a large amount of information that made up our results, we followed Cichocka and Jost ( 2014 ) in simplifying our results. Please note that the numbers indicated in the table in terms of methodology differ from the total number of articles. Some articles employed more than one method/sampling technique/design/data collection method/data analysis in their studies.

What follows is the results for what methods are used, how these methods are used, and which topics in psychology they are applied to . Percentages are reported to the second decimal in order to highlight small differences in the occurrence of methodology.

Firstly, with regard to the research methods used, our results show that researchers are more likely to use quantitative research methods (90.22%) compared to all other research methods. Qualitative research was the second most common research method but only made up about 4.79% of the general method usage. Reviews occurred almost as much as qualitative studies (3.91%), as the third most popular method. Mixed-methods research studies (0.98%) occurred across most themes, whereas multi-method research was indicated in only one study and amounted to 0.10% of the methods identified. The specific use of each method in the topics identified is shown in Table 2 and Figure 4 .

Research methods in psychology.


Quantitative	401	162	69	60	52	52	48	28	38	13
Qualitative	28	4	1	0	5	2	3	5	0	1
Review	11	5	2	0	3	4	1	13	0	1
Mixed Methods	7	0	0	0	1	0	1	1	0	0
Multi-method	0	0	0	0	0	0	0	0	1	0
Total	447	171	72	60	61	58	53	47	39	15

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Research method frequency in topics.

Secondly, in the case of how these research methods are employed , our study indicated the following.

Sampling −78.34% of the studies in the collected articles did not specify a sampling method. From the remainder of the studies, 13 types of sampling methods were identified. These sampling methods included broad categorisation of a sample as, for example, a probability or non-probability sample. General samples of convenience were the methods most likely to be applied (10.34%), followed by random sampling (3.51%), snowball sampling (2.73%), and purposive (1.37%) and cluster sampling (1.27%). The remainder of the sampling methods occurred to a more limited extent (0–1.0%). See Table 3 and Figure 5 for sampling methods employed in each topic.

Sampling use in the field of psychology.


Not stated	331	153	45	57	49	43	43	38	31	14
Convenience sampling	55	8	10	1	6	8	9	2	6	1
Random sampling	15	3	9	1	2	2	0	2	1	1
Snowball sampling	14	4	4	1	2	0	0	3	0	0
Purposive sampling	6	0	2	0	0	2	0	3	1	0
Cluster sampling	8	1	2	0	0	2	0	0	0	0
Stratified sampling	4	1	2	0	1	1	0	0	0	0
Non-probability sampling	4	0	1	0	0	0	0	0	1	0
Probability sampling	3	1	0	0	0	0	0	0	0	0
Quota sampling	1	0	1	0	0	0	0	0	0	0
Criterion sampling	1	0	0	0	0	0	0	0	0	0
Self-selection sampling	1	0	0	0	0	0	0	0	0	0
Unsystematic sampling	0	1	0	0	0	0	0	0	0	0
Total	443	172	76	60	60	58	52	48	40	16

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Sampling method frequency in topics.

Designs were categorised based on the articles' statement thereof. Therefore, it is important to note that, in the case of quantitative studies, non-experimental designs (25.55%) were often indicated due to a lack of experiments and any other indication of design, which, according to Laher ( 2016 ), is a reasonable categorisation. Non-experimental designs should thus be compared with experimental designs only in the description of data, as it could include the use of correlational/cross-sectional designs, which were not overtly stated by the authors. For the remainder of the research methods, “not stated” (7.12%) was assigned to articles without design types indicated.

From the 36 identified designs the most popular designs were cross-sectional (23.17%) and experimental (25.64%), which concurred with the high number of quantitative studies. Longitudinal studies (3.80%), the third most popular design, was used in both quantitative and qualitative studies. Qualitative designs consisted of ethnography (0.38%), interpretative phenomenological designs/phenomenology (0.28%), as well as narrative designs (0.28%). Studies that employed the review method were mostly categorised as “not stated,” with the most often stated review designs being systematic reviews (0.57%). The few mixed method studies employed exploratory, explanatory (0.09%), and concurrent designs (0.19%), with some studies referring to separate designs for the qualitative and quantitative methods. The one study that identified itself as a multi-method study used a longitudinal design. Please see how these designs were employed in each specific topic in Table 4 , Figure 6 .

Design use in the field of psychology.


Experimental design	82	82	3	60	10	12	8	6	4	3
Non-experimental design	115	30	51	0	13	17	13	13	14	3
Cross-sectional design	123	31	12	1	19	17	21	5	13	2
Correlational design	56	12	3	0	10	2	2	0	4	2
Not stated	37	7	3	0	4	2	4	14	1	3
Longitudinal design	21	6	2	1	1	2	2	0	2	3
Quasi-experimental design	4	1	0	0	0	0	2	1	0	0
Systematic review	3	0	0	0	1	1	0	1	0	0
Cross-cultural design	3	0	0	1	0	0	0	1	0	0
Descriptive design	2	0	0	0	0	0	3	0	0	0
Ethnography	4	0	0	0	0	0	0	0	0	0
Literature review	1	1	0	0	1	1	0	0	0	0
Interpretative Phenomenological Analysis (IPA)	2	0	0	0	1	0	0	0	0	0
Narrative design	1	0	0	0	0	0	1	1	0	0
Case-control research design	0	0	0	0	0	2	0	0	0	0
Concurrent data collection design	1	0	0	0	1	0	0	0	0	0
Grounded Theory	1	0	0	0	1	0	0	0	0	0
Narrative review	0	1	0	0	0	1	0	0	0	0
Auto-ethnography	1	0	0	0	0	0	0	0	0	0
Case series evaluation	0	0	0	0	0	0	0	1	0	0
Case study	1	0	0	0	0	0	0	0	0	0
Comprehensive review	0	1	0	0	0	0	0	0	0	0
Descriptive-inferential	0	0	0	0	0	0	0	0	1	0
Explanatory sequential design	1	0	0	0	0	0	0	0	0	0
Exploratory mixed-method	0	0	0	0	1	0	0	1	0	0
Grounded ethnographic design	0	1	0	0	0	0	0	0	0	0
Historical cohort design	0	1	0	0	0	0	0	0	0	0
Historical research	0	0	0	0	0	0	0	1	0	0
interpretivist approach	0	0	0	0	0	0	0	1	0	0
Meta-review	1	0	0	0	0	0	0	1	0	0
Prospective design	1	0	0	0	0	0	0	0	0	0
Qualitative review	0	0	0	0	0	0	0	1	0	0
Qualitative systematic review	0	0	0	0	0	1	0	0	0	0
Short-term prospective design	0	1	0	0	0	0	0	0	0	0
Total	461	175	74	63	63	58	56	48	39	16

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Design frequency in topics.

Data collection and analysis —data collection included 30 methods, with the data collection method most often employed being questionnaires (57.84%). The experimental task (16.56%) was the second most preferred collection method, which included established or unique tasks designed by the researchers. Cognitive ability tests (6.84%) were also regularly used along with various forms of interviewing (7.66%). Table 5 and Figure 7 represent data collection use in the various topics. Data analysis consisted of 3,857 occurrences of data analysis categorised into ±188 various data analysis techniques shown in Table 6 and Figures 1 – 7 . Descriptive statistics were the most commonly used (23.49%) along with correlational analysis (17.19%). When using a qualitative method, researchers generally employed thematic analysis (0.52%) or different forms of analysis that led to coding and the creation of themes. Review studies presented few data analysis methods, with most studies categorising their results. Mixed method and multi-method studies followed the analysis methods identified for the qualitative and quantitative studies included.

Data collection in the field of psychology.


Questionnaire	364	113	65	42	40	51	39	24	37	11
Experimental task	68	66	3	52	9	5	11	5	5	1
Cognitive ability test	9	57	1	12	6	1	5	1	1	0
Physiological measure	3	12	1	6	2	5	3	0	1	0
Interview	19	3	0	1	3	0	2	2	0	1
Online scholarly literature	10	4	0	0	3	4	0	10	0	0
Open-ended questions	15	3	0	1	3	1	2	3	0	0
Semi-structured interviews	10	3	0	0	3	2	1	2	0	1
Observation	10	1	0	0	0	0	0	0	2	0
Documents	5	1	1	0	0	0	0	1	2	0
Focus group	6	1	2	0	1	0	0	0	0	0
Not stated	2	1	1	0	0	0	1	4	0	1
Public data	6	1	0	0	0	0	0	2	0	1
Drawing task	0	2	0	1	1	1	0	2	0	0
In-depth interview	6	0	0	0	1	0	0	0	0	0
Structured interview	0	2	0	0	1	2	0	0	1	0
Writing task	1	0	0	0	4	0	0	1	0	0
Questionnaire interviews	1	0	1	0	2	0	1	0	0	0
Non-experimental task	4	0	0	0	0	0	0	0	0	0
Tests	2	2	0	0	0	0	0	0	0	0
Group accounts	2	0	0	0	0	0	0	1	0	0
Open-ended prompts	1	1	0	0	0	0	0	1	0	0
Field notes	2	0	0	0	0	0	0	0	0	0
Open-ended interview	2	0	0	0	0	0	0	0	0	0
Qualitative questions	0	0	0	0	0	1	0	0	0	1
Social media	1	0	0	0	0	0	0	0	1	0
Assessment procedure	0	0	0	1	0	0	0	0	0	0
Closed-ended questions	0	0	0	0	0	0	0	1	0	0
Open discussions	1	0	0	0	0	0	0	0	0	0
Qualitative descriptions	1	0	0	0	0	0	0	0	0	0
Total	551	273	75	116	79	73	65	60	50	17

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Data collection frequency in topics.

Data analysis in the field of psychology.


Not stated	5	1	2	0	0	1	1	5	0	1
Actor-Partner Interdependence Model (APIM)	4	0	0	0	0	0	0	0	0	0
Analysis of Covariance (ANCOVA)	17	8	1	3	4	2	1	0	0	1
Analysis of Variance (ANOVA)	112	60	16	29	15	17	15	6	5	3
Auto-regressive path coefficients	0	0	1	0	0	0	0	0	0	0
Average variance extracted (AVE)	1	0	0	0	0	1	0	0	0	0
Bartholomew's classification system	1	0	0	0	0	0	0	0	0	0
Bayesian analysis	3	0	0	0	1	0	0	0	0	0
Bibliometric analysis	1	1	0	0	0	0	0	1	0	0
Binary logistic regression	1	1	0	0	1	4	1	0	0	0
Binary multilevel regression	0	0	0	1	0	0	0	0	0	0
Binomial and Bernoulli regression models	2	0	0	0	0	0	0	0	0	0
Binomial mixed effects model	1	0	0	0	0	0	0	0	0	0
Bivariate Correlations	32	10	3	0	4	3	5	1	1	1
Bivariate logistic correlations	1	0	0	0	0	1	0	0	0	0
Bootstrapping	39	16	2	3	5	1	6	1	2	1
Canonical correlations	0	0	0	0	0	0	0	0	2	0
Cartesian diagram	1	0	0	0	0	0	0	0	0	0
Case-wise diagnostics	0	1	0	0	0	0	1	0	0	0
Casual network analysis	0	0	0	1	0	0	0	0	0	0
Categorisation	5	2	0	0	1	1	0	4	0	0
Categorisation of responses	2	0	0	0	0	0	0	0	0	0
Category codes	3	1	0	0	0	1	0	0	0	0
Cattell's scree-test	0	0	1	0	0	0	0	0	0	0
Chi-square tests	52	20	17	5	6	11	8	7	4	3
Classic Parallel Analysis (PA)	0	0	1	0	0	1	0	0	1	0
Cluster analysis	7	0	0	0	1	1	1	1	0	1
Coded	15	3	1	2	1	1	1	2	1	0
Cohen d effect size	14	5	2	1	3	2	3	1	0	1
Common method variance (CMV)	5	0	1	0	0	0	0	0	0	0
Comprehensive Meta-Analysis (CMA)	0	0	0	0	0	0	0	0	1	0
Confidence Interval (CI)	2	0	0	0	0	1	0	0	0	0
Confirmatory Factor Analysis (CFA)	57	13	40	0	2	4	7	1	3	1
Content analysis	9	1	0	0	2	1	0	1	0	0
Convergent validity	1	0	0	0	0	0	0	0	0	0
Cook's distance	0	1	0	0	1	0	0	0	0	0
Correlated-trait-correlated-method minus one model	1	0	0	0	0	0	0	0	0	0
Correlational analysis	259	85	44	18	27	31	34	8	33	8
Covariance matrix	3	0	1	0	0	0	0	0	0	0
Covariance modelling	0	1	1	0	0	0	0	0	0	0
Covariance structure analyses	2	0	0	0	0	0	0	0	0	0
Cronbach's alpha	61	14	18	6	5	10	8	3	7	5
Cross-validation	0	0	2	0	0	0	0	0	0	1
Cross-lagged analyses	1	2	1	0	0	0	1	0	0	0
Dependent t-test	1	2	0	0	1	1	0	1	0	0
Descriptive statistics	324	132	43	49	41	43	36	28	29	10
Differentiated analysis	0	0	0	0	0	0	1	0	0	0
Discriminate analysis	1	0	2	0	0	0	0	0	0	1
Discursive psychology	1	0	0	0	0	0	0	0	0	0
Dominance analysis	1	0	0	0	0	0	0	0	0	0
Expectation maximisation	2	1	0	0	0	0	0	1	0	0
Exploratory data Analysis	1	1	0	0	1	1	0	0	0	0
Exploratory Factor Analysis (EFA)	14	5	24	0	1	1	4	0	4	0
Exploratory structural equation modelling (ESEM)	0	0	1	0	0	0	0	0	1	0
Factor analysis	12	4	16	0	2	1	5	0	2	0
Measurement invariance testing	0	0	0	0	0	0	0	0	0	0
Four-way mixed ANOVA	0	1	0	1	0	0	0	0	0	0
Frequency rate	20	1	4	2	1	2	2	2	0	0
Friedman test	1	0	0	0	0	0	0	0	0	0
Games-Howell	2	2	0	0	0	1	0	0	0	0
General linear model analysis	1	2	0	0	0	0	1	1	0	0
Greenhouse-Geisser correction	2	5	0	0	0	0	1	1	1	1
Grounded theory method	0	0	0	0	0	0	0	0	0	1
Grounded theory methodology using open and axial coding	1	0	0	0	0	0	0	0	0	0
Guttman split-half	0	0	1	0	0	0	0	0	0	0
Harman's one-factor test	13	2	0	0	0	1	2	0	0	0
Herman's criteria of experience categorisation	0	0	0	0	0	0	0	1	0	0
Hierarchical CFA (HCFA)	0	0	1	0	0	0	0	0	0	0
Hierarchical cluster analysis	1	0	0	0	0	0	0	0	0	0
Hierarchical Linear Modelling (HLM)	76	22	2	3	7	6	7	4	4	1
Huynh-Felt correction	1	0	0	0	0	0	0	0	0	0
Identified themes	3	0	0	0	1	0	0	0	0	0
Independent samples t-test	38	9	4	4	4	8	3	3	1	1
Inductive open coding	1	0	0	0	0	0	0	0	0	0
Inferential statistics	2	0	0	0	0	0	1	0	0	0
Interclass correlation	3	0	1	0	0	0	0	0	0	0
Internal consistency	3	1	2	0	0	0	0	0	0	0
Interpreted and defined	0	0	0	0	1	0	0	0	0	0
Interpretive Phenomenological Analysis (IPA)	2	1	0	0	1	0	0	0	0	0
Item fit analysis	1	0	5	0	0	0	0	0	0	0
K-means clustering	0	0	0	0	0	0	0	1	0	0
Kaiser-meyer-Olkin measure of sampling adequacy	2	0	8	0	0	0	2	0	2	0
Kendall's coefficients	3	1	0	0	0	0	0	0	0	0
Kolmogorov-Smirnov test	1	2	1	1	2	2	0	0	1	0
Lagged-effects multilevel modelling	1	1	0	0	0	0	0	0	0	0
Latent class differentiation (LCD)	1	0	0	0	0	0	0	0	0	0
Latent cluster analysis	0	0	0	0	0	1	0	0	0	0
Latent growth curve modelling (LGCM)	1	0	0	0	0	0	0	1	1	0
Latent means	1	0	0	0	0	0	0	0	0	0
Latent Profile Analysis (LPA)	1	1	0	0	0	0	0	0	0	0
Linear regressions	69	19	4	10	3	12	5	3	13	0
Linguistic Inquiry and Word Count	0	0	0	0	1	0	0	0	0	0
Listwise deletion method	0	0	0	0	0	1	0	0	0	0
Log-likelihood ratios	0	0	0	0	0	1	0	0	0	0
Logistic mixed-effects model	1	0	0	0	0	0	0	0	0	0
Logistic regression analyses	17	0	1	0	4	2	1	0	0	1
Loglinear Model	2	0	0	0	0	0	0	0	0	0
Mahalanobis distances	0	2	0	0	0	1	0	0	0	0
Mann-Whitney U tests	6	4	2	1	2	0	2	4	0	0
Mauchly's test	0	1	0	2	0	0	0	1	0	1
Maximum likelihood method	11	3	9	0	1	3	2	3	1	0
Maximum-likelihood factor analysis with promax rotation	0	1	0	0	0	0	0	0	0	0
Measurement invariance testing	4	1	1	0	1	0	0	0	0	0
Mediation analysis	29	7	1	2	4	3	5	0	3	0
Meta-analysis	3	0	1	0	0	0	0	1	0	0
Microanalysis	1	0	0	0	0	0	0	0	0	0
Minimum significant difference (MSD) comparison	0	1	0	0	0	0	0	0	0	0
Mixed ANOVAs	19	6	0	10	1	2	1	4	1	0
Mixed linear model	0	0	0	1	0	0	1	0	0	0
Mixed-design ANCOVA	1	1	0	0	0	0	0	0	0	0
Mixed-effects multiple regression models	1	0	0	0	0	0	0	0	0	0
Moderated hierarchical regression model	1	0	0	0	0	0	0	0	0	0
Moderated regression analysis	8	4	0	0	1	0	1	0	1	0
Monte Carlo Markov Chains	2	0	1	0	0	0	0	0	0	0
Multi-group analysis	3	0	0	0	0	0	0	0	0	0
Multidimensional Random Coefficient Multinomial Logit (MRCML)	0	0	1	0	0	0	0	0	0	0
Multidimensional Scaling	2	0	0	0	0	0	0	0	0	0
Multiple-Group Confirmatory Factor Analysis (MGCFA)	3	0	0	0	0	2	0	0	0	0
Multilevel latent class analysis	1	0	0	0	0	1	0	0	0	0
Multilevel modelling	7	2	1	1	1	0	0	1	1	0
Multilevel Structural Equation Modelling (MSEM)	2	0	0	0	0	0	0	0	0	0
Multinominal logistic regression (MLR)	1	0	0	0	0	0	0	0	0	0
Multinominal regression analysis	1	0	0	0	0	2	0	0	0	0
Multiple Indicators Multiple Causes (MIMIC)	0	0	0	0	1	1	0	0	0	0
Multiple mediation analysis	2	6	0	0	2	2	1	0	0	0
Multiple regression	34	15	3	0	3	4	5	0	7	2
Multivariate analysis of co-variance (MANCOVA)	12	2	1	1	0	1	1	0	1	0
Multivariate Analysis of Variance (MANOVA)	38	8	4	5	5	6	9	1	1	2
Multivariate hierarchical linear regression	1	1	0	0	0	0	0	0	0	0
Multivariate linear regression	0	1	0	0	0	0	1	0	0	0
Multivariate logistic regression analyses	1	0	0	0	0	0	0	0	0	0
Multivariate regressions	2	1	0	0	0	0	1	0	0	0
Nagelkerke's R square	0	0	0	0	0	1	0	0	0	0
Narrative analysis	1	0	0	0	0	0	1	0	0	0
Negative binominal regression with log link	0	0	0	0	0	1	0	0	0	0
Newman-Keuls	0	1	0	0	0	1	0	0	0	0
Nomological Validity Analysis	0	0	1	0	0	0	0	0	0	0
One sample t-test	8	10	1	7	4	6	4	0	1	0
Ordinary Least-Square regression (OLS)	2	2	0	1	0	0	0	0	0	0
Pairwise deletion method	0	0	0	0	0	1	0	0	0	0
Pairwise parameter comparison	4	0	0	0	0	0	2	0	0	0
Parametric Analysis	0	0	0	1	0	0	0	0	0	0
Partial Least Squares regression method (PLS)	1	1	0	0	0	0	0	0	0	0
Path analysis	21	9	0	1	2	4	5	1	2	0
Path-analytic model test	1	0	0	0	0	0	0	0	0	0
Phenomenological analysis	0	0	1	0	0	0	0	1	0	0
Polynomial regression analyses	1	0	0	0	0	0	0	0	0	0
Fisher LSD	0	1	0	0	0	0	0	0	0	0
Principal axis factoring	2	1	4	0	0	0	1	0	0	0
Principal component analysis (PCA)	8	1	12	1	1	0	3	2	5	1
Pseudo-panel regression	1	0	0	0	0	0	0	0	0	0
Quantitative content analysis	0	0	0	0	1	0	0	0	0	0
Receiver operating characteristic (ROC) curve analysis	2	0	0	1	0	0	0	0	0	0
Relative weight analysis	1	0	0	0	0	0	0	0	0	0
Repeated measures analyses of variances (rANOVA)	18	22	1	7	5	2	1	1	1	1
Ryan-Einot-Gabriel-Welsch multiple F test	1	0	0	0	0	0	0	0	0	0
Satorra-Bentler scaled chi-square statistic	0	0	3	0	0	0	0	0	0	0
Scheffe's test	3	0	0	0	0	1	0	0	0	0
Sequential multiple mediation analysis	1	0	0	0	0	0	0	0	0	0
Shapiro-Wilk test	2	3	0	2	1	0	0	0	0	0
Sobel Test	13	5	0	1	0	2	4	0	0	0
Squared multiple correlations	1	0	0	0	0	0	0	0	0	0
Squared semi-partial correlations (sr2)	2	0	0	0	0	0	0	0	0	0
Stepwise regression analysis	3	2	0	0	1	0	0	0	2	0
Structural Equation Modelling (SEM)	56	22	3	3	3	5	5	0	5	3
Structure analysis	0	0	0	0	0	0	1	0	0	0
Subsequent t-test	0	0	0	0	1	0	0	0	0	0
Systematic coding- Gemeinschaft-oriented	1	0	0	0	1	0	0	0	0	0
Task analysis	2	0	0	0	0	0	0	0	0	0
Thematic analysis	11	2	0	0	3	0	2	2	0	0
Three (condition)-way ANOVA	0	4	0	0	1	0	1	0	0	0
Three-way hierarchical loglinear analysis	0	2	0	0	0	0	0	0	0	0
Tukey-Kramer corrections	0	0	0	1	0	1	0	0	0	0
Two-paired sample t-test	7	6	1	1	0	3	1	1	0	1
Two-tailed related t-test	0	1	1	0	1	0	0	0	0	0
Unadjusted Logistic regression analysis	0	1	0	0	0	0	0	0	0	0
Univariate generalized linear models (GLM)	2	0	0	0	0	0	0	0	0	0
Variance inflation factor (VIF)	3	1	0	0	0	0	0	0	1	0
Variance-covariance matrix	1	0	0	0	0	0	0	1	0	0
Wald test	1	1	0	0	0	0	0	0	0	0
Ward's hierarchical cluster method	0	0	0	0	0	0	0	0	0	1
Weighted least squares with corrections to means and variances (WLSMV)	2	0	0	0	0	0	0	0	0	0
Welch and Brown-Forsythe F-ratios	0	1	0	0	0	1	0	0	0	0
Wilcoxon signed-rank test	3	3	0	2	0	0	0	2	0	1
Wilks' Lamba	6	0	0	0	0	0	1	0	0	0
Word analysis	0	0	0	0	0	0	0	1	0	0
Word Association Analysis	1	0	0	0	0	0	0	0	0	0
scores	5	6	1	0	1	1	0	1	0	0
Total	1738	635	329	192	198	237	225	117	152	55

Results of the topics researched in psychology can be seen in the tables, as previously stated in this article. It is noteworthy that, of the 10 topics, social psychology accounted for 43.54% of the studies, with cognitive psychology the second most popular research topic at 16.92%. The remainder of the topics only occurred in 4.0–7.0% of the articles considered. A list of the included 999 articles is available under the section “View Articles” on the following website: https://methodgarden.xtrapolate.io/ . This website was created by Scholtz et al. ( 2019 ) to visually present a research framework based on this Article's results.

This systematised review categorised full-length articles from five international journals across the span of 5 years to provide insight into the use of research methods in the field of psychology. Results indicated what methods are used how these methods are being used and for what topics (why) in the included sample of articles. The results should be seen as providing insight into method use and by no means a comprehensive representation of the aforementioned aim due to the limited sample. To our knowledge, this is the first research study to address this topic in this manner. Our discussion attempts to promote a productive way forward in terms of the key results for method use in psychology, especially in the field of academia (Holloway, 2008 ).

With regard to the methods used, our data stayed true to literature, finding only common research methods (Grant and Booth, 2009 ; Maree, 2016 ) that varied in the degree to which they were employed. Quantitative research was found to be the most popular method, as indicated by literature (Breen and Darlaston-Jones, 2010 ; Counsell and Harlow, 2017 ) and previous studies in specific areas of psychology (see Coetzee and Van Zyl, 2014 ). Its long history as the first research method (Leech et al., 2007 ) in the field of psychology as well as researchers' current application of mathematical approaches in their studies (Toomela, 2010 ) might contribute to its popularity today. Whatever the case may be, our results show that, despite the growth in qualitative research (Demuth, 2015 ; Smith and McGannon, 2018 ), quantitative research remains the first choice for article publication in these journals. Despite the included journals indicating openness to articles that apply any research methods. This finding may be due to qualitative research still being seen as a new method (Burman and Whelan, 2011 ) or reviewers' standards being higher for qualitative studies (Bluhm et al., 2011 ). Future research is encouraged into the possible biasness in publication of research methods, additionally further investigation with a different sample into the proclaimed growth of qualitative research may also provide different results.

Review studies were found to surpass that of multi-method and mixed method studies. To this effect Grant and Booth ( 2009 ), state that the increased awareness, journal contribution calls as well as its efficiency in procuring research funds all promote the popularity of reviews. The low frequency of mixed method studies contradicts the view in literature that it's the third most utilised research method (Tashakkori and Teddlie's, 2003 ). Its' low occurrence in this sample could be due to opposing views on mixing methods (Gunasekare, 2015 ) or that authors prefer publishing in mixed method journals, when using this method, or its relative novelty (Ivankova et al., 2016 ). Despite its low occurrence, the application of the mixed methods design in articles was methodologically clear in all cases which were not the case for the remainder of research methods.

Additionally, a substantial number of studies used a combination of methodologies that are not mixed or multi-method studies. Perceived fixed boundaries are according to literature often set aside, as confirmed by this result, in order to investigate the aim of a study, which could create a new and helpful way of understanding the world (Gunasekare, 2015 ). According to Toomela ( 2010 ), this is not unheard of and could be considered a form of “structural systemic science,” as in the case of qualitative methodology (observation) applied in quantitative studies (experimental design) for example. Based on this result, further research into this phenomenon as well as its implications for research methods such as multi and mixed methods is recommended.

Discerning how these research methods were applied, presented some difficulty. In the case of sampling, most studies—regardless of method—did mention some form of inclusion and exclusion criteria, but no definite sampling method. This result, along with the fact that samples often consisted of students from the researchers' own academic institutions, can contribute to literature and debates among academics (Peterson and Merunka, 2014 ; Laher, 2016 ). Samples of convenience and students as participants especially raise questions about the generalisability and applicability of results (Peterson and Merunka, 2014 ). This is because attention to sampling is important as inappropriate sampling can debilitate the legitimacy of interpretations (Onwuegbuzie and Collins, 2017 ). Future investigation into the possible implications of this reported popular use of convenience samples for the field of psychology as well as the reason for this use could provide interesting insight, and is encouraged by this study.

Additionally, and this is indicated in Table 6 , articles seldom report the research designs used, which highlights the pressing aspect of the lack of rigour in the included sample. Rigour with regards to the applied empirical method is imperative in promoting psychology as a science (American Psychological Association, 2020 ). Omitting parts of the research process in publication when it could have been used to inform others' research skills should be questioned, and the influence on the process of replicating results should be considered. Publications are often rejected due to a lack of rigour in the applied method and designs (Fonseca, 2013 ; Laher, 2016 ), calling for increased clarity and knowledge of method application. Replication is a critical part of any field of scientific research and requires the “complete articulation” of the study methods used (Drotar, 2010 , p. 804). The lack of thorough description could be explained by the requirements of certain journals to only report on certain aspects of a research process, especially with regard to the applied design (Laher, 20). However, naming aspects such as sampling and designs, is a requirement according to the APA's Journal Article Reporting Standards (JARS-Quant) (Appelbaum et al., 2018 ). With very little information on how a study was conducted, authors lose a valuable opportunity to enhance research validity, enrich the knowledge of others, and contribute to the growth of psychology and methodology as a whole. In the case of this research study, it also restricted our results to only reported samples and designs, which indicated a preference for certain designs, such as cross-sectional designs for quantitative studies.

Data collection and analysis were for the most part clearly stated. A key result was the versatile use of questionnaires. Researchers would apply a questionnaire in various ways, for example in questionnaire interviews, online surveys, and written questionnaires across most research methods. This may highlight a trend for future research.

With regard to the topics these methods were employed for, our research study found a new field named “psychological practice.” This result may show the growing consciousness of researchers as part of the research process (Denzin and Lincoln, 2003 ), psychological practice, and knowledge generation. The most popular of these topics was social psychology, which is generously covered in journals and by learning societies, as testaments of the institutional support and richness social psychology has in the field of psychology (Chryssochoou, 2015 ). The APA's perspective on 2018 trends in psychology also identifies an increased amount of psychology focus on how social determinants are influencing people's health (Deangelis, 2017 ).

This study was not without limitations and the following should be taken into account. Firstly, this study used a sample of five specific journals to address the aim of the research study, despite general journal aims (as stated on journal websites), this inclusion signified a bias towards the research methods published in these specific journals only and limited generalisability. A broader sample of journals over a different period of time, or a single journal over a longer period of time might provide different results. A second limitation is the use of Excel spreadsheets and an electronic system to log articles, which was a manual process and therefore left room for error (Bandara et al., 2015 ). To address this potential issue, co-coding was performed to reduce error. Lastly, this article categorised data based on the information presented in the article sample; there was no interpretation of what methodology could have been applied or whether the methods stated adhered to the criteria for the methods used. Thus, a large number of articles that did not clearly indicate a research method or design could influence the results of this review. However, this in itself was also a noteworthy result. Future research could review research methods of a broader sample of journals with an interpretive review tool that increases rigour. Additionally, the authors also encourage the future use of systematised review designs as a way to promote a concise procedure in applying this design.

Our research study presented the use of research methods for published articles in the field of psychology as well as recommendations for future research based on these results. Insight into the complex questions identified in literature, regarding what methods are used how these methods are being used and for what topics (why) was gained. This sample preferred quantitative methods, used convenience sampling and presented a lack of rigorous accounts for the remaining methodologies. All methodologies that were clearly indicated in the sample were tabulated to allow researchers insight into the general use of methods and not only the most frequently used methods. The lack of rigorous account of research methods in articles was represented in-depth for each step in the research process and can be of vital importance to address the current replication crisis within the field of psychology. Recommendations for future research aimed to motivate research into the practical implications of the results for psychology, for example, publication bias and the use of convenience samples.

Ethics Statement

This study was cleared by the North-West University Health Research Ethics Committee: NWU-00115-17-S1.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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How to Write a Psychology Essay

Saul McLeod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul McLeod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

Before you write your essay, it’s important to analyse the task and understand exactly what the essay question is asking. Your lecturer may give you some advice – pay attention to this as it will help you plan your answer.

Next conduct preliminary reading based on your lecture notes. At this stage, it’s not crucial to have a robust understanding of key theories or studies, but you should at least have a general “gist” of the literature.

After reading, plan a response to the task. This plan could be in the form of a mind map, a summary table, or by writing a core statement (which encompasses the entire argument of your essay in just a few sentences).

After writing your plan, conduct supplementary reading, refine your plan, and make it more detailed.

It is tempting to skip these preliminary steps and write the first draft while reading at the same time. However, reading and planning will make the essay writing process easier, quicker, and ensure a higher quality essay is produced.

Components of a Good Essay

Now, let us look at what constitutes a good essay in psychology. There are a number of important features.

Global Structure – structure the material to allow for a logical sequence of ideas. Each paragraph / statement should follow sensibly from its predecessor. The essay should “flow”. The introduction, main body and conclusion should all be linked.
Each paragraph should comprise a main theme, which is illustrated and developed through a number of points (supported by evidence).
Knowledge and Understanding – recognize, recall, and show understanding of a range of scientific material that accurately reflects the main theoretical perspectives.
Critical Evaluation – arguments should be supported by appropriate evidence and/or theory from the literature. Evidence of independent thinking, insight, and evaluation of the evidence.
Quality of Written Communication – writing clearly and succinctly with appropriate use of paragraphs, spelling, and grammar. All sources are referenced accurately and in line with APA guidelines.

In the main body of the essay, every paragraph should demonstrate both knowledge and critical evaluation.

There should also be an appropriate balance between these two essay components. Try to aim for about a 60/40 split if possible.

Most students make the mistake of writing too much knowledge and not enough evaluation (which is the difficult bit).

It is best to structure your essay according to key themes. Themes are illustrated and developed through a number of points (supported by evidence).

Choose relevant points only, ones that most reveal the theme or help to make a convincing and interesting argument.

Knowledge and Understanding

Remember that an essay is simply a discussion / argument on paper. Don’t make the mistake of writing all the information you know regarding a particular topic.

You need to be concise, and clearly articulate your argument. A sentence should contain no unnecessary words, a paragraph no unnecessary sentences.

Each paragraph should have a purpose / theme, and make a number of points – which need to be support by high quality evidence. Be clear why each point is is relevant to the argument. It would be useful at the beginning of each paragraph if you explicitly outlined the theme being discussed (.e.g. cognitive development, social development etc.).

Try not to overuse quotations in your essays. It is more appropriate to use original content to demonstrate your understanding.

Psychology is a science so you must support your ideas with evidence (not your own personal opinion). If you are discussing a theory or research study make sure you cite the source of the information.

Note this is not the author of a textbook you have read – but the original source / author(s) of the theory or research study.

For example:

Bowlby (1951) claimed that mothering is almost useless if delayed until after two and a half to three years and, for most children, if delayed till after 12 months, i.e. there is a critical period.

Maslow (1943) stated that people are motivated to achieve certain needs. When one need is fulfilled a person seeks to fullfil the next one, and so on.

As a general rule, make sure there is at least one citation (i.e. name of psychologist and date of publication) in each paragraph.

Remember to answer the essay question. Underline the keywords in the essay title. Don’t make the mistake of simply writing everything you know of a particular topic, be selective. Each paragraph in your essay should contribute to answering the essay question.

Critical Evaluation

In simple terms, this means outlining the strengths and limitations of a theory or research study.

There are many ways you can critically evaluate:

Methodological evaluation of research

Is the study valid / reliable ? Is the sample biased, or can we generalize the findings to other populations? What are the strengths and limitations of the method used and data obtained?

Be careful to ensure that any methodological criticisms are justified and not trite.

Rather than hunting for weaknesses in every study; only highlight limitations that make you doubt the conclusions that the authors have drawn – e.g., where an alternative explanation might be equally likely because something hasn’t been adequately controlled.

Compare or contrast different theories

Outline how the theories are similar and how they differ. This could be two (or more) theories of personality / memory / child development etc. Also try to communicate the value of the theory / study.

Debates or perspectives

Refer to debates such as nature or nurture, reductionism vs. holism, or the perspectives in psychology . For example, would they agree or disagree with a theory or the findings of the study?

What are the ethical issues of the research?

Does a study involve ethical issues such as deception, privacy, psychological or physical harm?

Gender bias

If research is biased towards men or women it does not provide a clear view of the behavior that has been studied. A dominantly male perspective is known as an androcentric bias.

Cultural bias

Is the theory / study ethnocentric? Psychology is predominantly a white, Euro-American enterprise. In some texts, over 90% of studies have US participants, who are predominantly white and middle class.

Does the theory or study being discussed judge other cultures by Western standards?

Animal Research

This raises the issue of whether it’s morally and/or scientifically right to use animals. The main criterion is that benefits must outweigh costs. But benefits are almost always to humans and costs to animals.

Animal research also raises the issue of extrapolation. Can we generalize from studies on animals to humans as their anatomy & physiology is different from humans?

The PEC System

It is very important to elaborate on your evaluation. Don’t just write a shopping list of brief (one or two sentence) evaluation points.

Instead, make sure you expand on your points, remember, quality of evaluation is most important than quantity.

When you are writing an evaluation paragraph, use the PEC system.

Make your P oint.
E xplain how and why the point is relevant.
Discuss the C onsequences / implications of the theory or study. Are they positive or negative?

For Example

Point: It is argued that psychoanalytic therapy is only of benefit to an articulate, intelligent, affluent minority.
Explain: Because psychoanalytic therapy involves talking and gaining insight, and is costly and time-consuming, it is argued that it is only of benefit to an articulate, intelligent, affluent minority. Evidence suggests psychoanalytic therapy works best if the client is motivated and has a positive attitude.
Consequences: A depressed client’s apathy, flat emotional state, and lack of motivation limit the appropriateness of psychoanalytic therapy for depression.

Furthermore, the levels of dependency of depressed clients mean that transference is more likely to develop.

Using Research Studies in your Essays

Research studies can either be knowledge or evaluation.

If you refer to the procedures and findings of a study, this shows knowledge and understanding.
If you comment on what the studies shows, and what it supports and challenges about the theory in question, this shows evaluation.

Writing an Introduction

It is often best to write your introduction when you have finished the main body of the essay, so that you have a good understanding of the topic area.

If there is a word count for your essay try to devote 10% of this to your introduction.

Ideally, the introduction should;

Identify the subject of the essay and define the key terms. Highlight the major issues which “lie behind” the question. Let the reader know how you will focus your essay by identifying the main themes to be discussed. “Signpost” the essay’s key argument, (and, if possible, how this argument is structured).

Introductions are very important as first impressions count and they can create a h alo effect in the mind of the lecturer grading your essay. If you start off well then you are more likely to be forgiven for the odd mistake later one.

Writing a Conclusion

So many students either forget to write a conclusion or fail to give it the attention it deserves.

If there is a word count for your essay try to devote 10% of this to your conclusion.

Ideally the conclusion should summarize the key themes / arguments of your essay. State the take home message – don’t sit on the fence, instead weigh up the evidence presented in the essay and make a decision which side of the argument has more support.

Also, you might like to suggest what future research may need to be conducted and why (read the discussion section of journal articles for this).

Don”t include new information / arguments (only information discussed in the main body of the essay).

If you are unsure of what to write read the essay question and answer it in one paragraph.

Points that unite or embrace several themes can be used to great effect as part of your conclusion.

The Importance of Flow

Obviously, what you write is important, but how you communicate your ideas / arguments has a significant influence on your overall grade. Most students may have similar information / content in their essays, but the better students communicate this information concisely and articulately.

When you have finished the first draft of your essay you must check if it “flows”. This is an important feature of quality of communication (along with spelling and grammar).

This means that the paragraphs follow a logical order (like the chapters in a novel). Have a global structure with themes arranged in a way that allows for a logical sequence of ideas. You might want to rearrange (cut and paste) paragraphs to a different position in your essay if they don”t appear to fit in with the essay structure.

To improve the flow of your essay make sure the last sentence of one paragraph links to first sentence of the next paragraph. This will help the essay flow and make it easier to read.

Finally, only repeat citations when it is unclear which study / theory you are discussing. Repeating citations unnecessarily disrupts the flow of an essay.

Referencing

The reference section is the list of all the sources cited in the essay (in alphabetical order). It is not a bibliography (a list of the books you used).

In simple terms every time you cite/refer to a name (and date) of a psychologist you need to reference the original source of the information.

If you have been using textbooks this is easy as the references are usually at the back of the book and you can just copy them down. If you have been using websites, then you may have a problem as they might not provide a reference section for you to copy.

References need to be set out APA style :

Author, A. A. (year). Title of work . Location: Publisher.

Journal Articles

Author, A. A., Author, B. B., & Author, C. C. (year). Article title. Journal Title, volume number (issue number), page numbers

A simple way to write your reference section is use Google scholar . Just type the name and date of the psychologist in the search box and click on the “cite” link.

Next, copy and paste the APA reference into the reference section of your essay.

Once again, remember that references need to be in alphabetical order according to surname.

Psychological Methods

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Journal scope statement

Psychological Methods ® is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues.

The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.

The journal solicits original theoretical, quantitative, empirical, and methodological articles; reviews of important methodological issues; tutorials; articles illustrating innovative applications of new procedures to psychological problems; articles on the teaching of quantitative methods; and reviews of statistical software.

Submissions will be judged on their relevance to understanding psychological data, methodological correctness, and accessibility to a wide audience. Where appropriate, submissions should illustrate through concrete example how the procedures described or developed can enhance the quality of psychological research.

The journal welcomes submissions that show the relevance to psychology of procedures developed in other fields. Empirical and theoretical articles on specific tests or test construction should have a broad thrust; otherwise, they may be more appropriate for Psychological Assessment . Similarly, articles of interest to only a single subdiscipline of psychology may typically be more appropriate for a journal devoted to that specialty unless they make an exceptional contribution to the literature.

Disclaimer: APA and the editors of Psychological Methods assume no responsibility for statements and opinions advanced by the authors of its articles.

Equity, diversity, and inclusion

Psychological Methods supports equity, diversity, and inclusion (EDI) in its practices. More information on these initiatives is available under EDI Efforts .

Call for papers

Tutorials in psychological methods

Open science

The APA Journals Program is committed to publishing transparent, rigorous research; improving reproducibility in science; and aiding research discovery. Open science practices vary per editor discretion. View the initiatives implemented by this journal .

Editor's Choice

This journal’s content is highlighted in the APA “ Editor’s Choice ” newsletter, a free, bi-weekly compilation of editor-recommended APA Journals articles. More information is available under the submission guidelines .

Author and editor spotlights

Explore journal highlights : free article summaries, editor interviews and editorials, journal awards, mentorship opportunities, and more.

Prior to submission, please carefully read and follow the submission guidelines detailed below. Manuscripts that do not conform to the submission guidelines may be returned without review.

To submit to the Editorial Office of Douglas Steinley, PhD, please submit manuscripts electronically through the Manuscript Submission Portal in Microsoft Word (.docx) or LaTex (.tex) as a zip file with an accompanied Portable Document Format (.pdf) of the manuscript file.

Prepare manuscripts according to the Publication Manual of the American Psychological Association (7 th edition). Manuscripts may be copyedited for bias-free language (see Chapter 5 of the 7 th edition).

Submit Manuscript

General correspondence may be directed to the editorial office via email .

In the cover letter, include assurance that the manuscript is not under review elsewhere, that any primary data have not been published previously or accepted for publication, and that the appropriate ethical guidelines were followed in the conduct of the research.

Each manuscript must include on separate pages:

author footnotes, which include acknowledgments of support and the name and address of the author to whom correspondence should be sent
a title page with the author's name and affiliation when the research was done

Submissions are judged on their relevance to understanding psychological data, methodological correctness, and accessibility to a wide audience. Where appropriate, submissions should illustrate through concrete example how the procedures described or developed can enhance the quality of psychological research.

Also in light of changing patterns of scientific knowledge dissemination, APA requires authors to provide information on prior dissemination of the data and narrative interpretations of the data/research appearing in the manuscript (e.g., if some or all were presented at a conference or meeting, posted on a listserv, shared on a website, including academic social networks like ResearchGate, etc.). This information (2–4 sentences) must be provided as part of the author note.

Psychological Methods is now using a software system to screen submitted content for similarity with other published content. The system compares the initial version of each submitted manuscript against a database of 40+ million scholarly documents, as well as content appearing on the open web. This allows APA to check submissions for potential overlap with material previously published in scholarly journals (e.g., lifted or republished material).

Types of articles solicited

original theoretical, quantitative, empirical, and methodological articles
reviews of important methodological issues
articles illustrating innovative applications of new procedures to psychological problems
articles on the teaching of quantitative methods
reviews of statistical software
replications (submissions should include “A Replication of XX Study” in the subtitle of the manuscript as well as in the abstract)

Editor’s Choice

Each issue of Psychological Methods will honor one manuscript as the Editor’s Choice.

Selection criteria

The Editor’s Choice article will be selected based on an assessment of the following criteria. In addition to the editor’s own assessment of these criteria, information provided in the peer reviews (numerical ratings and comments) and the associate editors’ decision letters will be used as data for selection.

Diversity: Does the study advance our understanding of how legal institutions and policymakers should work with and treat diverse groups of people? Does the study contribute to improving services for underserved populations?
Innovation: Does the study lead to significantly new knowledge, ask unexamined questions, and/or use highly novel methods to inform policy and legal practice?
Methodological rigor: Do the methods meet the highest level of methodological rigor for the particular field of study?
Policy significance/impact: Does the study have significant and direct implications that can change/improve/increase practices in the legal or policy areas?

Selection process

When the editor prepares the table of contents each quarter, the editor will identify the article that they believe best meets the criteria in consultation with the associate editors. Associate editors will be invited to nominate articles for Editor’s Choice. The editor will consider these nominations in their selection review process.

Masked review policy

Masked reviews are optional, and authors who wish masked reviews must specifically request them when submitting their manuscripts. Authors may suggest individuals qualified to do reviewing.

For masked reviews, authors should send one manuscript PDF file, with the title page and all other identifying information excluded. Authors will be asked to upload a separate title page file along with it, hidden from reviewers, with all of this information

Make every effort to ensure that the manuscript itself contains no clues as to author identity, including grant numbers, names of institutions providing IRB approval, self-citations, and links to online repositories for data, materials, code, or preregistrations (e.g., Create a View-only Link for a Project ).

If your manuscript was mask reviewed, please ensure that the final version for production includes a byline and full author note for typesetting.

Journal Article Reporting Standards

Authors should review the APA Style Journal Article Reporting Standards (JARS) for quantitative, qualitative, and mixed methods. The standards offer ways to improve transparency in reporting to ensure that readers have the information necessary to evaluate the quality of the research and to facilitate collaboration and replication.

recommend the division of hypotheses, analyses, and conclusions into primary, secondary, and exploratory groupings to allow for a full understanding of quantitative analyses presented in a manuscript and to enhance reproducibility;
offer modules for authors reporting on replications, clinical trials, longitudinal studies, and observational studies, as well as the analytic methods of structural equation modeling and Bayesian analysis; and
include guidelines on reporting of study preregistration (including making protocols public); participant characteristics (including demographic characteristics); inclusion and exclusion criteria; psychometric characteristics of outcome measures and other variables; and planned data diagnostics and analytic strategy.

The guidelines focus on transparency in methods reporting, recommending descriptions of how the researchers’ own perspectives affected the study, as well as the contexts in which the research and analysis took place.

Author contribution statements using CRediT

The APA Publication Manual (7th ed.) stipulates that “authorship encompasses…not only persons who do the writing but also those who have made substantial scientific contributions to a study.” In the spirit of transparency and openness, Psychological Methods has adopted the Contributor Roles Taxonomy (CRediT) to describe each author's individual contributions to the work. CRediT offers authors the opportunity to share an accurate and detailed description of their diverse contributions to a manuscript.

Submitting authors will be asked to identify the contributions of all authors at initial submission according to this taxonomy. If the manuscript is accepted for publication, the CRediT designations will be published as an Author Contributions Statement in the author note of the final article. All authors should have reviewed and agreed to their individual contribution(s) before submission.

CRediT includes 14 contributor roles, as described below:

Conceptualization: Ideas; formulation or evolution of overarching research goals and aims.
Data curation: Management activities to annotate (produce metadata), scrub data and maintain research data (including software code, where it is necessary for interpreting the data itself) for initial use and later reuse.
Formal analysis: Application of statistical, mathematical, computational, or other formal techniques to analyze or synthesize study data.
Funding acquisition: Acquisition of the financial support for the project leading to this publication.
Investigation: Conducting a research and investigation process, specifically performing the experiments, or data/evidence collection.
Methodology: Development or design of methodology; creation of models.
Project administration: Management and coordination responsibility for the research activity planning and execution.
Resources: Provision of study materials, reagents, materials, patients, laboratory samples, animals, instrumentation, computing resources, or other analysis tools.
Software: Programming, software development; designing computer programs; implementation of the computer code and supporting algorithms; testing of existing code components.
Supervision: Oversight and leadership responsibility for the research activity planning and execution, including mentorship external to the core team.
Validation: Verification, whether as a part of the activity or separate, of the overall replication/reproducibility of results/experiments and other research outputs.
Visualization: Preparation, creation and/or presentation of the published work, specifically visualization/data presentation.
Writing—original draft: Preparation, creation and/or presentation of the published work, specifically writing the initial draft (including substantive translation).
Writing—review and editing: Preparation, creation and/or presentation of the published work by those from the original research group, specifically critical review, commentary or revision—including pre- or post-publication stages.

Authors can claim credit for more than one contributor role, and the same role can be attributed to more than one author.

Transparency and openness

APA endorses the Transparency and Openness Promotion (TOP) Guidelines by a community working group in conjunction with the Center for Open Science ( Nosek et al. 2015 ). Empirical research, including meta-analyses, submitted to Psychological Methods must meet the “disclosure” level for all eight aspects of research planning and reporting. Authors should include a subsection in the method section titled “Transparency and Openness.” This subsection should detail the efforts the authors have made to comply with the TOP guidelines. For example:

We report how we determined our sample size, all data exclusions (if any), all manipulations, and all measures in the study, and we follow JARS (Applebaum, et al., 2018). All data, analysis code, and research materials are available at [stable link to repository]. Data were analyzed using R, version 4.0.0 (R Core Team, 2020) and the package ggplot , version 3.2.1 (Wickham, 2016). This study’s design and its analysis were not pre-registered.

Data, materials, and code

Authors must state whether data and study materials are posted to a trusted repository and, if so, how to access them. Recommended repositories include APA’s repository on the Open Science Framework (OSF), or authors can access a full list of other recommended repositories . Trusted repositories adhere to policies that make data discoverable, accessible, usable, and preserved for the long term. Trusted repositories also assign unique and persistent identifiers.

In a subsection titled "Transparency and Openness" at the end of the method section, specify whether and where the data and material will be available or note the legal or ethical reasons for not doing so. For submissions with quantitative or simulation analytic methods, state whether the study analysis code is posted to a trusted repository, and, if so, how to access it (or the legal or ethical reason why it is not available).

For example:

All data have been made publicly available at the [trusted repository name] and can be accessed at [persistent URL or DOI].
Materials and analysis code for this study are not available because [legal or ethical reason].
The code behind this analysis/simulation has been made publicly available at the [trusted repository name] and can be accessed at [persistent URL or DOI].

Preregistration of studies and analysis plans

Preregistration of studies and specific hypotheses can be a useful tool for making strong theoretical claims. Likewise, preregistration of analysis plans can be useful for distinguishing confirmatory and exploratory analyses. Investigators are encouraged to preregister their studies and analysis plans prior to conducting the research via a publicly accessible registry system (e.g., OSF , ClinicalTrials.gov, or other trial registries in the WHO Registry Network). There are many available templates; for example, APA, the British Psychological Society, and the German Psychological Society partnered with the Leibniz Institute for Psychology and Center for Open Science to create Preregistration Standards for Quantitative Research in Psychology (Bosnjak et al., 2022).

Articles must state whether or not any work was preregistered and, if so, where to access the preregistration. If any aspect of the study is preregistered, include the registry link in the method section.

This study’s design was preregistered prospectively, before data were collected; see [STABLE LINK OR DOI].
This study’s design and hypotheses were preregistered after data had been collected but before analyses were undertaken; see [STABLE LINK OR DOI].
This study’s analysis plan was preregistered; see [STABLE LINK OR DOI].
This study was not preregistered.

Manuscripts should generally not exceed 12,000 words (approximately 40 double-spaced pages in 12-point Times New Roman font), not including references, tables, figures, and appendixes. Manuscripts longer than 12,000 words will be considered for publication only if they are judged to have the potential to make an exceptional contribution to the literature.

Manuscript preparation

Prepare manuscripts according to the Publication Manual of the American Psychological Association using the 7 th edition. Manuscripts may be copyedited for bias-free language (see Chapter 5 of the Publication Manual ). APA Style and Grammar Guidelines for the 7 th edition are available.

Review APA's Journal Manuscript Preparation Guidelines before submitting your article.

Double-space all copy. Other formatting instructions, as well as instructions on preparing tables, figures, references, metrics, and abstracts, appear in the Manual . Additional guidance on APA Style is available on the APA Style website .

Below are additional instructions regarding the preparation of display equations, computer code, and tables.

Display equations

We strongly encourage you to use MathType (third-party software) or Equation Editor 3.0 (built into pre-2007 versions of Word) to construct your equations, rather than the equation support that is built into Word 2007 and Word 2010. Equations composed with the built-in Word 2007/Word 2010 equation support are converted to low-resolution graphics when they enter the production process and must be rekeyed by the typesetter, which may introduce errors.

To construct your equations with MathType or Equation Editor 3.0:

Go to the Text section of the Insert tab and select Object.
Select MathType or Equation Editor 3.0 in the drop-down menu.

If you have an equation that has already been produced using Microsoft Word 2007 or 2010 and you have access to the full version of MathType 6.5 or later, you can convert this equation to MathType by clicking on MathType Insert Equation. Copy the equation from Microsoft Word and paste it into the MathType box. Verify that your equation is correct, click File, and then click Update. Your equation has now been inserted into your Word file as a MathType Equation.

Use Equation Editor 3.0 or MathType only for equations or for formulas that cannot be produced as Word text using the Times or Symbol font.

Computer code

Because altering computer code in any way (e.g., indents, line spacing, line breaks, page breaks) during the typesetting process could alter its meaning, we treat computer code differently from the rest of your article in our production process. To that end, we request separate files for computer code.

In online supplemental material

We request that runnable source code be included as supplemental material to the article. For more information, visit Supplementing Your Article With Online Material .

In the text of the article

If you would like to include code in the text of your published manuscript, please submit a separate file with your code exactly as you want it to appear, using Courier New font with a type size of 8 points. We will make an image of each segment of code in your article that exceeds 40 characters in length. (Shorter snippets of code that appear in text will be typeset in Courier New and run in with the rest of the text.) If an appendix contains a mix of code and explanatory text, please submit a file that contains the entire appendix, with the code keyed in 8-point Courier New.

Use Word's insert table function when you create tables. Using spaces or tabs in your table will create problems when the table is typeset and may result in errors.

Academic writing and English language editing services

Authors who feel that their manuscript may benefit from additional academic writing or language editing support prior to submission are encouraged to seek out such services at their host institutions, engage with colleagues and subject matter experts, and/or consider several vendors that offer discounts to APA authors .

Please note that APA does not endorse or take responsibility for the service providers listed. It is strictly a referral service.

Use of such service is not mandatory for publication in an APA journal. Use of one or more of these services does not guarantee selection for peer review, manuscript acceptance, or preference for publication in any APA journal.

Submitting supplemental materials

APA can place supplemental materials online, available via the published article in the PsycArticles ® database. Please see Supplementing Your Article With Online Material for more details.

Abstract and keywords

All manuscripts must include an abstract containing a maximum of 250 words typed on a separate page.

Psychological Methods requires authors submit two abstracts.

One will be reviewed for its suitability as a description for scientists and for purposes of document retrieval from reference databases—this abstract is required at article submission.

The other abstract will be reviewed for its ability to communicate the essence of the article and its value to applied researchers who are not methodologists. Upon request, editors can assist the authors in constructing the nontechnical abstract, which should be submitted with the initial submission or the first revision.

After the abstract, please supply up to five keywords or brief phrases.

List references in alphabetical order. Each listed reference should be cited in text, and each text citation should be listed in the references section.

Examples of basic reference formats:

Journal article

McCauley, S. M., & Christiansen, M. H. (2019). Language learning as language use: A cross-linguistic model of child language development. Psychological Review , 126 (1), 1–51. https://doi.org/10.1037/rev0000126

Authored book

Brown, L. S. (2018). Feminist therapy (2nd ed.). American Psychological Association. https://doi.org/10.1037/0000092-000

Chapter in an edited book

Balsam, K. F., Martell, C. R., Jones. K. P., & Safren, S. A. (2019). Affirmative cognitive behavior therapy with sexual and gender minority people. In G. Y. Iwamasa & P. A. Hays (Eds.), Culturally responsive cognitive behavior therapy: Practice and supervision (2nd ed., pp. 287–314). American Psychological Association. https://doi.org/10.1037/0000119-012

Data set citation

Alegria, M., Jackson, J. S., Kessler, R. C., & Takeuchi, D. (2016). Collaborative Psychiatric Epidemiology Surveys (CPES), 2001–2003 [Data set]. Inter-university Consortium for Political and Social Research. https://doi.org/10.3886/ICPSR20240.v8

Software/Code citation

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software , 36(3), 1–48. https://www.jstatsoft.org/v36/i03/

Wickham, H. et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4 (43), 1686, https://doi.org/10.21105/joss.01686

All data, program code, and other methods must be cited in the text and listed in the references section.

Preferred formats for graphics files are TIFF and JPG, and preferred format for vector-based files is EPS. Graphics downloaded or saved from web pages are not acceptable for publication. Multipanel figures (i.e., figures with parts labeled a, b, c, d, etc.) should be assembled into one file. When possible, please place symbol legends below the figure instead of to the side.

All color line art and halftones: 300 DPI
Black and white line tone and gray halftone images: 600 DPI

Line weights

Color (RGB, CMYK) images: 2 pixels
Grayscale images: 4 pixels
Stroke weight: 0.5 points

APA offers authors the option to publish their figures online in color without the costs associated with print publication of color figures.

The same caption will appear on both the online (color) and print (black and white) versions. To ensure that the figure can be understood in both formats, authors should add alternative wording (e.g., “the red (dark gray) bars represent”) as needed.

For authors who prefer their figures to be published in color both in print and online, original color figures can be printed in color at the editor's and publisher's discretion provided the author agrees to pay:

$900 for one figure
An additional $600 for the second figure
An additional $450 for each subsequent figure

Permissions

Authors of accepted papers must obtain and provide to the editor on final acceptance all necessary permissions to reproduce in print and electronic form any copyrighted work, including test materials (or portions thereof), photographs, and other graphic images (including those used as stimuli in experiments).

On advice of counsel, APA may decline to publish any image whose copyright status is unknown.

Download Permissions Alert Form (PDF, 13KB)

Open science badges

Starting in January 2017, articles are eligible for open science badges recognizing publicly available data, materials, and/or preregistration plans and analyses. These badges are awarded on a self-disclosure basis. At submission, authors must confirm that criteria have been fulfilled in a signed badge disclosure form (PDF, 33KB) that must be submitted as supplemental material. If all criteria are met as confirmed by the editor, the form will then be published with the article as supplemental material.

Authors should also note their eligibility for the badge(s) in the cover letter.

For all badges, items must be made available on an open-access repository with a persistent identifier in a format that is time-stamped, immutable, and permanent. For the preregistered badge, this is an institutional registration system.

Data and materials must be made available under an open license allowing others to copy, share, and use the data, with attribution and copyright as applicable.

Available badges are:

Note that it may not be possible to preregister a study or to share data and materials. Applying for open science badges is optional.

Publication policies

For full details on publication policies, including use of Artificial Intelligence tools, please see APA Publishing Policies .

APA policy prohibits an author from submitting the same manuscript for concurrent consideration by two or more publications.

See also APA Journals ® Internet Posting Guidelines .

APA requires authors to reveal any possible conflict of interest in the conduct and reporting of research (e.g., financial interests in a test or procedure, funding by pharmaceutical companies for drug research).

Download Full Disclosure of Interests Form (PDF, 41KB)

In light of changing patterns of scientific knowledge dissemination, APA requires authors to provide information on prior dissemination of the data and narrative interpretations of the data/research appearing in the manuscript (e.g., if some or all were presented at a conference or meeting, posted on a listserv, shared on a website, including academic social networks like ResearchGate, etc.). This information (2–4 sentences) must be provided as part of the author note.

Ethical Principles

It is a violation of APA Ethical Principles to publish "as original data, data that have been previously published" (Standard 8.13).

In addition, APA Ethical Principles specify that "after research results are published, psychologists do not withhold the data on which their conclusions are based from other competent professionals who seek to verify the substantive claims through reanalysis and who intend to use such data only for that purpose, provided that the confidentiality of the participants can be protected and unless legal rights concerning proprietary data preclude their release" (Standard 8.14).

APA expects authors to adhere to these standards. Specifically, APA expects authors to have their data available throughout the editorial review process and for at least 5 years after the date of publication.

Authors are required to state in writing that they have complied with APA ethical standards in the treatment of their sample, human or animal, or to describe the details of treatment.

Download Certification of Compliance With APA Ethical Principles Form (PDF, 26KB)

The APA Ethics Office provides the full Ethical Principles of Psychologists and Code of Conduct electronically on its website in HTML, PDF, and Word format. You may also request a copy by emailing or calling the APA Ethics Office (202-336-5930). You may also read "Ethical Principles," December 1992, American Psychologist , Vol. 47, pp. 1597–1611.

Other information

See APA’s Publishing Policies page for more information on publication policies, including information on author contributorship and responsibilities of authors, author name changes after publication, the use of generative artificial intelligence, funder information and conflict-of-interest disclosures, duplicate publication, data publication and reuse, and preprints.

Visit the Journals Publishing Resource Center for more resources for writing, reviewing, and editing articles for publishing in APA journals.

Douglas Steinley, PhD University of Missouri—Columbia, United States

Associate editors

Samantha Anderson, PhD Arizona State University, United States

Sarah Depaoli, PhD University of California, Merced, United States

Michael C. Edwards, PhD Arizona State University, United States

Sacha Epskamp, PhD University of Amsterdam, Netherlands

Emilio Ferrer, PhD University of California, Davis, United States

Jessica Flake, PhD McGill University, Canada

Sonya K. Sterba, PhD Vanderbilt University, United States

Lijuan (Peggy) Wang, PhD University of Notre Dame, United States

Consulting editors

Samantha F. Anderson, PhD Arizona State University, United States

Deborah L. Bandalos, PhD James Madison University, United States

Daniel J. Bauer, PhD University of North Carolina at Chapel Hill, United States

Shelley A. Blozis, PhD University of California, Davis, United States

Kenneth Bollen, PhD University of North Carolina, Chapel Hill, United States

Wes Bonifay, PhD University of Missouri—Columbia, United States

Holger Brandt, PhD University of Tübingen, Germany

David V. Budescu, PhD Fordham University, United States

Sun-Joo Cho, PhD Vanderbilt University, United States

Sy-Miin Chow, PhD Pennsylvania State University, United States

Patrick J. Curran, PhD University of North Carolina at Chapel Hill, United States

Pascal R. Deboeck, PhD University of Utah, United States

Philipp Doebler, Dr. rer. nat. TU Dortmund University, Germany

Han Du, PhD University of California—Los Angeles, United States

Craig K. Enders, PhD University of California, Los Angeles, United States

Kathleen Gates, PhD University of North Carolina, Chapel Hill, United States

Richard Gonzalez, PhD University of Michigan, United States

Kevin J. Grimm, PhD Arizona State University, United States

Gregory R. Hancock, PhD University of Maryland, College Park, United States

Jeffrey R. Harring, PhD University of Maryland, College Park, United States

Teague R. Henry, PhD University of Virginia, United States

Lesa Hoffman, PhD University of Iowa, United States

Michael D. Hunter, PhD Pennsylvania State University, United States

Ross Jacobucci, PhD University of Notre Dame, United States

Julian D. Karch, PhD Leiden University, the Netherlands

Nidhi Kohli, PhD University of Minnesota, United States

Hok Chio (Mark) Lai, PhD University of Southern California, United States

Oliver Lüdtke, PhD Leibniz Institute for Science and Mathematics Education, Germany

David P. MacKinnon, PhD Arizona State University, United States

Keith A. Markus, PhD John Jay College of Criminal Justice of the City University of New York, United States

Daniel McNeish, PhD Arizona State University, United States

Blakeley B. McShane, PhD Northwestern University, United States

Jorge Luis Mendoza, PhD University of Oklahoma, United States

Edgar C. Merkle, PhD University of Missouri, United States

Mariola Moeyaert, PhD University at Albany—State University of New York, United States

Jolynn Pek, PhD Ohio State University, United States

Nilam Ram, PhD Pennsylvania State University, United States

Tenko Raykov, PhD Michigan State University, United States

Mijke Rhemtulla, PhD University of California, Davis, United States

Edward Rigdon, PhD Georgia State University, United States

Victoria Savalei, PhD University of British Columbia, Canada

Michael A. Seaman, PhD University of South Carolina, United States

Patrick E. Shrout, PhD New York University, United States

Vincent S. Staggs, PhD University of Missouri—Kansas City School of Medicine and Children’s Mercy Research Institute, United States

Stanley Wasserman, PhD Indiana University, United States

Stephen G. West, PhD Arizona State University, United States

Jelte M. Wicherts, PhD Tilburg University, the Netherlands

Keith Widaman, PhD University of California, Riverside, United States

Phillip K. Wood, PhD University of Missouri—Columbia, United States

Ke-Hai Yuan, PhD University of Notre Dame, United States

Guangjian Zhang, PhD University of Notre Dame, United States

Zhiyong (Johnny) Zhang, PhD University of Notre Dame, United States

Peer review coordinator

Nick Millington American Psychological Association, United States

Abstracting and indexing services providing coverage of Psychological Methods ®

Academic OneFile
Cabell's Directory of Publishing Opportunities in Psychology
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Current Contents: Social & Behavioral Sciences
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Special issue of the APA journal Psychological Methods, Vol. 22, No. 4, December 2017. The issue features applications of Bayesian modeling techniques to an array of modeling contexts: regression models, item response models, structural equation models, dynamic mediation models, dynamic group membership models, and change point models.

Special issue of the APA journal Psychological Methods, Vol. 22, No. 2, June 2017 on Bayesian data analysis. Articles focus on practical guidelines and general use, Bayes factor, and posterior predictive p values.

Special issue of the APA journal Psychological Methods, Vol. 21, No. 4, December 2016. Four common themes emerged: the benefits of collaboration across disciplines, availability of large data sets on social media sites, ethical considerations when analyzing large data sets gained from public or private sources, and the necessity of validating predictive models in big data.

Special issue of the APA journal Psychological Methods, Vol. 20, No. 3, September 2015. Includes articles about effect sizes, publication bias, tool accuracy, meta-regression, odds ratios, and risk ratios.

Special issue of the APA journals Psychological Methods, Vol. 20, No. 1, March 2015. Includes articles about methods, models, and data analysis in longitudinal studies.

Special issue of the APA journal Psychological Methods, Vol. 14, No. 2, June 2009. Includes articles about integrative data analysis; psychometric approaches for developing measures across independent studies; using longitudinal data with multiple samples; independent longitudinal studies; and relative benefits of meta-analysis conducted with individual participant data versus aggregated data.

Transparency and Openness Promotion

APA endorses the Transparency and Openness Promotion (TOP) Guidelines by a community working group in conjunction with the Center for Open Science ( Nosek et al. 2015 ). The TOP Guidelines cover eight fundamental aspects of research planning and reporting that can be followed by journals and authors at three levels of compliance.

Level 1: Disclosure—The article must disclose whether or not the materials are posted to a trusted repository.
Level 2: Requirement—The article must share materials via a trusted repository when legally and ethically permitted (or disclose the legal and/or ethical restriction when not permitted).
Level 3: Verification—A third party must verify that the standard is met.

At a minimum, empirical research, including meta-analyses, submitted to Psychological Methods must, at a minimum, meet Level 1 (Disclosure) for all eight aspects of research planning and reporting as well as Level 2 (Requirement) for citation and data, code, and materials transparency. Authors should include a subsection in their methods description titled “Transparency and Openness.” This subsection should detail the efforts the authors have made to comply with the Transparency and Openness Promotion (TOP) guidelines.

The list below summarizes the minimal TOP requirements of the journal. Please refer to the Center for Open Science TOP guidelines for details, and contact the editor (Douglas Steinley, PhD) with any further questions. APA recommends sharing data, materials, and code via trusted repositories (e.g., APA’s repository on the Open Science Framework (OSF)). Trusted repositories adhere to policies that make data discoverable, accessible, usable, and preserved for the long term. Trusted repositories also assign unique and persistent identifiers.

We encourage investigators to preregister their studies and to share protocols and analysis plans prior to conducting the research. Clinical trials are studies that prospectively evaluate the effects of interventions on health outcomes, including psychological health. Clinical trials must be registered before enrolling participants on ClinicalTrails.gov or another primary register of the WHO International Clinical Trials Registry Platform (ICTRP). There are many available preregistration forms (e.g., the APA Preregistration for Quantitative Research in Psychology template, ClininalTrials.gov , or other preregistration templates available via OSF ). Completed preregistration forms should be posted on a publicly accessible registry system (e.g., OSF , ClinicalTrials.gov, or other trial registries in the WHO Registry Network).

The following list presents the eight fundamental aspects of research planning and reporting, the TOP level required by Psychological Methods , and a brief description of the journal's policy.

Citation: Level 2, Requirement—All data, program code, and other methods developed by others must be cited in the text and listed in the References section.
Data Transparency: Level 2, Requirement—Article states whether the raw and/or processed data on which study conclusions are based are posted to a trusted repository and either how to access them or the legal or ethical reasons why they are not available.
Analytic Methods (Code) Transparency: Level 2, Requirement—Article states whether computer code or syntax needed to reproduce analyses in an article is posted to a trusted repository and either how to access it or the legal or ethical reasons why it is not available.
Research Materials Transparency: Level 2, Requirement—Article states whether materials described in the Method section are posted to a trusted repository and either how to access them or the legal or ethical reasons why they are not available.
Design and Analysis Transparency (Reporting Standards): Level 1, Disclosure—The journal encourages the use of APA Style Journal Article Reporting Standards (JARS-Quant and/or MARS).
Study Preregistration: Level 1, Disclosure—Article states whether the study design and (if applicable) hypotheses of any of the work reported was preregistered and, if so, how to access it. Authors may submit a masked copy via stable link or supplemental material or may provide a link after acceptance.
Analysis Plan Preregistration: Level 1, Disclosure—Article states whether any of the work reported preregistered an analysis plan and, if so, how to access it. Authors may submit a masked copy via stable link or supplemental material or may provide a link after acceptance.
Replication: Level 1, Disclosure—The journal publishes replications.

Other open science initiatives

Open Science badges: Offered
Public significance statements: Offered
Author contribution statements using CRediT: Not required
Registered Reports: Not published
Replications: Published

Explore open science at APA .

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Diverse samples

Definitions and further details on inclusive study designs are available on the Journals EDI homepage .

Inclusive reporting standards

Bias-free language and community-driven language guidelines (required)
Data sharing and data availability statements (required)

More information on this journal’s reporting standards is listed under the submission guidelines tab .

Other EDI offerings

Orcid reviewer recognition.

Open Research and Contributor ID (ORCID) Reviewer Recognition provides a visible and verifiable way for journals to publicly credit reviewers without compromising the confidentiality of the peer-review process. This journal has implemented the ORCID Reviewer Recognition feature in Editorial Manager, meaning that reviewers can be recognized for their contributions to the peer-review process.

Masked peer review

This journal offers masked peer review (where both the authors’ and reviewers’ identities are not known to the other). Research has shown that masked peer review can help reduce implicit bias against traditionally female names or early-career scientists with smaller publication records (Budden et al., 2008; Darling, 2015).

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PSYCH 3002 - Research Methods in Psychology

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APA 7th --- from the APA (American Psychological Association)

APA 7th Quick Guide
APA Style Reference Examples From APA : A guide to creating references for a wide-variety of formats.
APA In-Text Citations From APA : A guide to creating in-text citations for a wide-variety of formats. Advice on paraphrasing, quotations, and plagiarism.
APA Paper Format From APA: A guide to headings, margins, paragraph indentation, spacing, and title page format,
APA Sample Papers From APA: A sample professional paper and a sample student paper.

APA 7th (Plan B - Purdue OWL also offers APA guidance and examples)

Citing Journal Articles (Purdue OWL)
Headings - APA 7th (Purdue OWL)
In-Text Citations - APA 7th - Basics (Purdue OWL)
In-Text Citations - APA 7th - More than one author (Purdue OWL)
Sample Paper - APA 7th (Purdue OWL) Both a sample professional paper and a sample student paper are available.
Tables and Figures - APA 7th (Purdue OWL)

Finding the DOI with CrossRef

Finding the DOI with Crossref

For journals with Direct Object Identifiers you place the DOI at the end of the citation.

APA recommends that the DOI should be in the form https://doi.org/10.1037/arc0000014

Since few citation generators provide the DOI (or at least the DOI in this format) you should copy the title of the article and paste it in a Crossref search - https://search.crossref.org/

If Crossref contains the article you will find the DOI at the bottom of the entry for that article.

So for the article:

Reppy, D., & Larwin, K. H. (2020). The association between perception of caring and intrinsic motivation: A study of urban middle school students. Journal of Education , 200 (1), 48-61.

We need to find the DOI for this article.

So take the title “The association between perception of caring and intrinsic motivation: A study of urban middle school students” … and plug this into Crossref .

The DOI found there is https://doi.org/10.1177/0022057419875123

So place DOI at the end of the article as follows:

Reppy, D., & Larwin, K. H. (2020). The association between perception of caring and intrinsic motivation: A study of urban middle school students. Journal of Education , 200 (1), 48-61. https://doi.org/10.1177/0022057419875123

What about a journal article that DOESN’T have a DOI ?

If you check your article for a DOI in Crossref and it doesn’t appear than you’ll need to use the web address (URL) that is associated with the article (note APA 7 no longer requires the words "Retrieved from" to precede a non-DOI URL).

Suppose you want to place the following article in your “References.”

Tarc, P., & Beatty, L. (2012). The emergence of the International Baccalaureate diploma in Ontario: Diffusion, pilot study and prospective research. Canadian Journal of Education , 35 (4).

A search of “The emergence of the International Baccalaureate diploma in Ontario: Diffusion, pilot study and prospective research.” in Crossref does not yield a DOI . So instead you should search for this title in Google Scholar which indicates this article is available via JSTOR at …

https://www.jstor.org/stable/pdf/canajeducrevucan.35.4.341.pdf?acceptTC=true&coverpage=false&casa_token=Zbn7TCBmz8UAAAAA:MyLNfy72auHvOJMfzyB7-V31tfu2ZL83J1IIPY3pFxL9Hlvq6UwfvY-yri13a1I15jJkUE_CRqu-m9y2xeUCL7sLUTyosAlg_ sjZoHO4ft0o3RVB59A

APA 7th now permits shortening of URLs so the first part of the URL - https://www.jstor.org/stable/pdf/canajeducrevucan.35.4.341.pdf - which also points to the citation for this article could be used instead.

So the final citation should be:

Tarc, P., & Beatty, L. (2012). The emergence of the International Baccalaureate diploma in Ontario: Diffusion, pilot study and prospective research. Canadian Journal of Education , 35 (4). https://www.jstor.org/stable/pdf/ canajeducrevucan.35.4.341.pdf

Examples of APA Citations for Journal Articles

Citing journal articles in APA 7th with a Direct Object Identifier (DOI).

(Reminder - find the DOI with CrossRef ).

Alkharusi, H. (2017). Predicting students’ academic achievement: Contributions of perceptions of classroom assessment tasks and motivated learning strategies. Electronic Journal of Research in Education Psychology 14 (40) 515-533. https://doi.org/10.14204/ejrep.40.15177

Kjeldsen, T. H., & Blomhøj, M. (2012). Beyond motivation: history as a method for learning meta-discursive rules in mathematics. Educational Studies in Mathematics , 80 (3), 327-349. https://doi.org/10.1007/s10649-011-9352-z

Weidinger, A. F., Steinmayr, R., & Spinath, B. (2017). Math grades and intrinsic motivation in elementary school: A longitudinal investigation of their association. British Journal of Educational Psychology , 87 (2), 187-204. https://doi.org/10.1111/bjep.12143

For articles without a Direct Object Identifier ( CrossRef does not find a DOI for this article) simply use the web address (URL) associated with the article.

Pourdavood, R. G., Grob, S., Clark, J., & Orr, H. (1999). Discourse and professional growth: processes, relationships, dilemmas, and hope. School community journal , 9 (1), 33-48. http://www.adi.org/journal/ss99/PourdavoodGrobClarkOrrSpring1999.pdf

Examples of APA 7th Citations for Books and Book Chapters

Citing Books and Chapters of Books

APA 7th guidelines:

Treat the authors, date, and title as before (with the title in italics).

APA 7th requires an edition number after the title e.g. (4th ed) but this is not in italics.

APA 7th no longer requires a “place of publication” - just the name of the publisher.

APA 7th - For ebooks only use a DOI if it exists. Only use a URL if:

the book does not have a DOI
the URL is NOT from an academic research database .

For an entire book in print cite as follows:

Carr, M. (1996). Motivation in mathematics . Hampton Press.

For a chapter from a book in print cite as follows:

Dorfler, W. (1999). Mathematics provides tools for thinking and communicating. In C. Hoyles, C. Morgan, & G. Woodhouse (Eds.), Rethinking the mathematics curriculum (pp. 75-86). Falmer Press.

For an entire ebook (that does not have a DOI) cite as follows:

Hall, N.C. & Goetz, T. (2013). Emotion, motivation, and self-regulation: A handbook for teachers . Emerald Group Publishing.

For a chapter from an ebook that has a DOI cite as follows:

Harackiewicz, J., Tibbetts, Y., Canning, E., & Hyde, J. (2014). Harnessing values to promote motivation in education. In S. Karabenick & T. Urdan (Eds.), Motivational interventions (pp. 71-105). Emerald Group Publishing. https://doi.org/10.1108/s0749-742320140000018002

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How to Write a Great Psychology Essay

Categories Psychology Education

Writing a great psychology essay takes skill. You need good research skills to provide an adequate empirical background. You also need to put your analytical skills to work to evaluate the research and then build a coherent argument. If you are not used to writing psychology essays, it can be a little challenging at first (especially if you are also learning how to use APA format).

Remember, the skill of writing an exceptional psychology essay lies not only in presenting information, but also in synthesizing and explaining it effectively. If you need to write a psychology essay for a class, here are some tips to help you get started.

Table of Contents

Key Takeaways

Craft a strong thesis statement highlighting the main points of your psychology essay.
Incorporate research studies to support arguments and critically evaluate their validity and reliability.
Structure the essay with a clear introduction, focused body paragraphs, and a compelling conclusion.
Include critical analysis by evaluating research methodologies, strengths, weaknesses, and ethical considerations.

What to Include in an APA Format Essay

To craft a great psychology essay, it’s important to make sure you follow the right format. While your instructor may have specific instructions, the typical format for an essay includes the following sections:

The title page
The abstract
The introduction
The main body
The reference section

Mastering the key components of a psychology essay is vital for crafting a compelling and academically sound piece of writing. To start, a good introduction sets the stage for your essay, providing a clear overview of what will be discussed.

Moving on to the main body, each paragraph should focus on a main theme, supported by evidence from research studies published in peer-reviewed journals. It’s pivotal to critically evaluate these studies, considering their validity, reliability, and limitations to strengthen your arguments.

Incorporating research studies not only adds credibility to your essay but also demonstrates a deep understanding of theoretical perspectives in psychology.

The Structure of a Psychology Essay

Each section of a psychology essay should also follow a specific format:

The Title Page

The title page is the first impression of your essay, and it should be formatted according to APA guidelines. It typically includes:

The title of your essay : Make sure it’s concise, descriptive, and gives the reader an idea of its content.
Your name : Place your full name below the title.
Institutional affiliation : This usually refers to your university or college.
Course number and name : Include the course for which the essay is being written.
Instructor’s name : Write the name of your instructor.
Due date : Indicate the date when the essay is due.

The Abstract

The abstract is a brief summary of your essay, typically around 150-250 words. It should provide a snapshot of the main points and findings. Key elements include:

Research topic : Briefly describe what your essay is about.
Research questions : Outline the main questions your essay addresses.
Methodology : Summarize the methods used to gather information or conduct research.
Results : Highlight the key findings.
Conclusion : Provide a concise conclusion or the implications of your findings.

The Introduction

The introduction sets the stage for your essay, providing context and outlining the main points. It should include:

Hook : Start with an interesting fact, quote, or anecdote to grab the reader’s attention.
Background information : Provide necessary context or background information on your topic.
Thesis statement : Clearly state the main argument or purpose of your essay.
Overview of structure : Briefly outline the structure of your essay to give the reader a roadmap.

The Main Body

The main body is the core of your essay, where you present your arguments, evidence, and analysis. It should be well-organized and divided into sections with subheadings if necessary. Each section should include:

Topic sentences : Start each paragraph with a clear topic sentence that introduces the main idea.
Evidence : Provide evidence to support your arguments, such as data, quotes, or studies.
Analysis : Analyze the evidence and explain how it supports your thesis.
Transitions : Use transitions to ensure a smooth flow between paragraphs and sections.

The Reference Section

The reference section is crucial for giving credit to the sources you used and for allowing readers to locate the sources themselves. It should follow APA format and include:

Alphabetical order : List all sources alphabetically by the author’s last name.
Proper citation format : Follow APA guidelines for formatting each type of source (books, articles, websites, etc.).
Hanging indent : Ensure that each reference entry has a hanging indent.

By following these guidelines, you can ensure that your psychology essay is well-structured, informative, and adheres to APA format.

Using Research in Your Psychology Essay

To strengthen the arguments in your psychology essay, it’s essential to incorporate relevant research studies that provide credibility and depth to your analysis. Utilizing research studies not only enhances the validity of your points but also demonstrates a deeper understanding of the topic at hand.

When integrating research into your essay, remember to include citations for each study referenced to give proper credit and allow readers to explore the sources further.

It is also important to evaluate the research studies you include to assess their validity, reliability, and any ethical considerations involved. This helps you determine the trustworthiness of the findings and whether they align with your argument.

Be sure to discuss any ethical concerns, such as participant deception or potential harm, and showcase a thoughtful approach to utilizing research in your essay.

Analyzing the Research Critically

When writing a psychology essay, using high-quality research sources and analyzing them critically is crucial. This not only strengthens your arguments but also ensures the credibility and reliability of your work. Here are some guidelines to help you critically analyze sources and use them appropriately:

Evaluating the Credibility of Sources

Authorship : Check the credentials of the author. Are they an expert in the field? Do they have relevant qualifications or affiliations with reputable institutions?
Publication Source : Determine where the research was published. Peer-reviewed journals, academic books, and respected organizations are considered reliable sources.
Date of Publication : Ensure the research is current and up-to-date. In psychology, recent studies are often more relevant as they reflect the latest findings and theories.
Citations and References : Look at how often the source is cited by other scholars. A frequently cited source is generally more credible.

Assessing the Quality of the Research

Research Design and Methodology : Evaluate the research design. Is it appropriate for the study’s aims? Consider the sample size, controls, and methods used.
Data Analysis : Check how the data was analyzed. Are the statistical methods sound and appropriate? Were the results interpreted correctly?
Bias and Limitations : Identify any potential biases or limitations in the study. Authors should acknowledge these in their discussion.

Synthesizing Information from Multiple Sources

Comparing Findings : Compare findings from different sources to identify patterns, trends, or discrepancies. This can help you understand the broader context and the range of perspectives on your topic.
Integrating Evidence : Integrate evidence from various sources to build a comprehensive argument. Use multiple pieces of evidence to support each point or counterpoint in your essay.

Citing Sources Appropriately

In-Text Citations : Follow APA guidelines for in-text citations. Include the author’s last name and the year of publication (e.g., Smith, 2020).
Direct Quotes and Paraphrasing : When directly quoting, use quotation marks and provide a page number. For paraphrasing, ensure you rephrase the original text significantly and still provide an in-text citation.
Reference List : Include a complete reference list at the end of your essay, formatted according to APA guidelines.

Using Sources to Support Your Argument

Relevance : Ensure each source directly relates to your thesis or the specific point you are discussing. Irrelevant information can distract from your argument.
Strength of Evidence : Use the strongest and most persuasive evidence available. Prioritize high-quality, peer-reviewed studies over less reliable sources.
Balance : Present a balanced view by including evidence that supports and opposes your thesis. Acknowledging counterarguments demonstrates thorough research and critical thinking.

By critically analyzing research sources and using them appropriately, you can enhance the quality and credibility of your psychology essay. This approach ensures that your arguments are well-supported, your analysis is thorough, and your work adheres to academic standards.

Putting the Finishing Touches on Your Psychology Essay

Once you have a basic grasp of the topic and have written a rough draft of your psychology essay, the next step is to polish it up and ensure it is ready to turn in. To perfect your essay structure, consider the following:

Make sure your topic is well-defined: Make sure your essay topic is specific and focused to provide a clear direction for your writing.
Check that you are highlighting a main point in each paragraph: Commence each paragraph with a topic sentence that encapsulates the main idea you’ll discuss.
Revise and refine your first draft: Take the time to review and refine your initial draft, guaranteeing that each section flows logically into the next and that your arguments are well-supported. ( Tip: Ask a friend of classmate to read through it to catch any typos or errors you might have missed. )
Check your APA format : Use the APA publication manual to double-check that all your sources are cited and referenced correctly.

Creating an amazing psychology essay requires a compelling introduction, evidence-based arguments, a strong thesis statement, critical analysis, and a well-structured essay.

By incorporating research from peer-reviewed journals, evaluating studies for validity and reliability, and considering differing viewpoints and ethical considerations, you can craft a powerful and insightful piece that showcases your understanding of the topic.

With attention to detail and logical flow, your psychology essay will captivate and inform your readers effectively.

REVIEW article

The use of research methods in psychological research: a systematised review.

$\nSalom Elizabeth Scholtz$

1 Community Psychosocial Research (COMPRES), School of Psychosocial Health, North-West University, Potchefstroom, South Africa
2 WorkWell Research Institute, North-West University, Potchefstroom, South Africa

Introduction

Psychology is an ever-growing and popular field ( Gough and Lyons, 2016 ; Clay, 2017 ). Due to this growth and the need for science-based research to base health decisions on ( Perestelo-Pérez, 2013 ), the use of research methods in the broad field of psychology is an essential point of investigation ( Stangor, 2011 ; Aanstoos, 2014 ). Research methods are therefore viewed as important tools used by researchers to collect data ( Nieuwenhuis, 2016 ) and include the following: quantitative, qualitative, mixed method and multi method ( Maree, 2016 ). Additionally, researchers also employ various types of literature reviews to address research questions ( Grant and Booth, 2009 ). According to literature, what research method is used and why a certain research method is used is complex as it depends on various factors that may include paradigm ( O'Neil and Koekemoer, 2016 ), research question ( Grix, 2002 ), or the skill and exposure of the researcher ( Nind et al., 2015 ). How these research methods are employed is also difficult to discern as research methods are often depicted as having fixed boundaries that are continuously crossed in research ( Johnson et al., 2001 ; Sandelowski, 2011 ). Examples of this crossing include adding quantitative aspects to qualitative studies ( Sandelowski et al., 2009 ), or stating that a study used a mixed-method design without the study having any characteristics of this design ( Truscott et al., 2010 ).

The inappropriate use of research methods affects how students and researchers improve and utilise their research skills ( Scott Jones and Goldring, 2015 ), how theories are developed ( Ngulube, 2013 ), and the credibility of research results ( Levitt et al., 2017 ). This, in turn, can be detrimental to the field ( Nind et al., 2015 ), journal publication ( Ketchen et al., 2008 ; Ezeh et al., 2010 ), and attempts to address public social issues through psychological research ( Dweck, 2017 ). This is especially important given the now well-known replication crisis the field is facing ( Earp and Trafimow, 2015 ; Hengartner, 2018 ).

Due to this lack of clarity on method use and the potential impact of inept use of research methods, the aim of this study was to explore the use of research methods in the field of psychology through a review of journal publications. Chaichanasakul et al. (2011) identify reviewing articles as the opportunity to examine the development, growth and progress of a research area and overall quality of a journal. Studies such as Lee et al. (1999) as well as Bluhm et al. (2011) review of qualitative methods has attempted to synthesis the use of research methods and indicated the growth of qualitative research in American and European journals. Research has also focused on the use of research methods in specific sub-disciplines of psychology, for example, in the field of Industrial and Organisational psychology Coetzee and Van Zyl (2014) found that South African publications tend to consist of cross-sectional quantitative research methods with underrepresented longitudinal studies. Qualitative studies were found to make up 21% of the articles published from 1995 to 2015 in a similar study by O'Neil and Koekemoer (2016) . Other methods in health psychology, such as Mixed methods research have also been reportedly growing in popularity ( O'Cathain, 2009 ).

A broad overview of the use of research methods in the field of psychology as a whole is however, not available in the literature. Therefore, our research focused on answering what research methods are being used, how these methods are being used and for what topics in practice (i.e., journal publications) in order to provide a general perspective of method used in psychology publication. We synthesised the collected data into the following format: research topic [areas of scientific discourse in a field or the current needs of a population ( Bittermann and Fischer, 2018 )], method [data-gathering tools ( Nieuwenhuis, 2016 )], sampling [elements chosen from a population to partake in research ( Ritchie et al., 2009 )], data collection [techniques and research strategy ( Maree, 2016 )], and data analysis [discovering information by examining bodies of data ( Ktepi, 2016 )]. A systematised review of recent articles (2013 to 2017) collected from five different journals in the field of psychological research was conducted.

Grant and Booth (2009) describe systematised reviews as the review of choice for post-graduate studies, which is employed using some elements of a systematic review and seldom more than one or two databases to catalogue studies after a comprehensive literature search. The aspects used in this systematised review that are similar to that of a systematic review were a full search within the chosen database and data produced in tabular form ( Grant and Booth, 2009 ).

Sample sizes and timelines vary in systematised reviews (see Lowe and Moore, 2014 ; Pericall and Taylor, 2014 ; Barr-Walker, 2017 ). With no clear parameters identified in the literature (see Grant and Booth, 2009 ), the sample size of this study was determined by the purpose of the sample ( Strydom, 2011 ), and time and cost constraints ( Maree and Pietersen, 2016 ). Thus, a non-probability purposive sample ( Ritchie et al., 2009 ) of the top five psychology journals from 2013 to 2017 was included in this research study. Per Lee (2015) American Psychological Association (APA) recommends the use of the most up-to-date sources for data collection with consideration of the context of the research study. As this research study focused on the most recent trends in research methods used in the broad field of psychology, the identified time frame was deemed appropriate.

Psychology journals were only included if they formed part of the top five English journals in the miscellaneous psychology domain of the Scimago Journal and Country Rank ( Scimago Journal & Country Rank, 2017 ). The Scimago Journal and Country Rank provides a yearly updated list of publicly accessible journal and country-specific indicators derived from the Scopus ® database ( Scopus, 2017b ) by means of the Scimago Journal Rank (SJR) indicator developed by Scimago from the algorithm Google PageRank™ ( Scimago Journal & Country Rank, 2017 ). Scopus is the largest global database of abstracts and citations from peer-reviewed journals ( Scopus, 2017a ). Reasons for the development of the Scimago Journal and Country Rank list was to allow researchers to assess scientific domains, compare country rankings, and compare and analyse journals ( Scimago Journal & Country Rank, 2017 ), which supported the aim of this research study. Additionally, the goals of the journals had to focus on topics in psychology in general with no preference to specific research methods and have full-text access to articles.

The researchers followed a procedure (see Figure 1 ) adapted from that of Ferreira et al. (2016) for systematised reviews. Data collection and categorisation commenced on 4 December 2017 and continued until 30 June 2019. All the data was systematically collected and coded manually ( Grant and Booth, 2009 ) with an independent person acting as co-coder. Codes of interest included the research topic, method used, the design used, sampling method, and methodology (the method used for data collection and data analysis). These codes were derived from the wording in each article. Themes were created based on the derived codes and checked by the co-coder. Lastly, these themes were catalogued into a table as per the systematised review design.

Figure 1 . Systematised review procedure.

According to Johnston et al. (2019) , “literature screening, selection, and data extraction/analyses” (p. 7) are specifically tailored to the aim of a review. Therefore, the steps followed in a systematic review must be reported in a comprehensive and transparent manner. The chosen systematised design adhered to the rigour expected from systematic reviews with regard to full search and data produced in tabular form ( Grant and Booth, 2009 ). The rigorous application of the systematic review is, therefore discussed in relation to these two elements.

Firstly, to ensure a comprehensive search, this research study promoted review transparency by following a clear protocol outlined according to each review stage before collecting data ( Johnston et al., 2019 ). This protocol was similar to that of Ferreira et al. (2016) and approved by three research committees/stakeholders and the researchers ( Johnston et al., 2019 ). The eligibility criteria for article inclusion was based on the research question and clearly stated, and the process of inclusion was recorded on an electronic spreadsheet to create an evidence trail ( Bandara et al., 2015 ; Johnston et al., 2019 ). Microsoft Excel spreadsheets are a popular tool for review studies and can increase the rigour of the review process ( Bandara et al., 2015 ). Screening for appropriate articles for inclusion forms an integral part of a systematic review process ( Johnston et al., 2019 ). This step was applied to two aspects of this research study: the choice of eligible journals and articles to be included. Suitable journals were selected by the first author and reviewed by the second and third authors. Initially, all articles from the chosen journals were included. Then, by process of elimination, those irrelevant to the research aim, i.e., interview articles or discussions etc., were excluded.

To ensure rigourous data extraction, data was first extracted by one reviewer, and an independent person verified the results for completeness and accuracy ( Johnston et al., 2019 ). The research question served as a guide for efficient, organised data extraction ( Johnston et al., 2019 ). Data was categorised according to the codes of interest, along with article identifiers for audit trails such as authors, title and aims of articles. The categorised data was based on the aim of the review ( Johnston et al., 2019 ) and synthesised in tabular form under methods used, how these methods were used, and for what topics in the field of psychology.

Figure 2 . Journal article frequency.

Table 1 . Codes used to form themes (research topics).

These 10 themes represent the topic section of our research question ( Figure 3 ). All these topics except, for the final one, psychological practice , were found to concur with the research areas in psychology as identified by Weiten (2010) . These research areas were chosen to represent the derived codes as they provided broad definitions that allowed for clear, concise categorisation of the vast amount of data. Article codes were categorised under particular themes/topics if they adhered to the research area definitions created by Weiten (2010) . It is important to note that these areas of research do not refer to specific disciplines in psychology, such as industrial psychology; but to broader fields that may encompass sub-interests of these disciplines.

Figure 3 . Topic frequency (international sample).

In the case of developmental psychology , researchers conduct research into human development from childhood to old age. Social psychology includes research on behaviour governed by social drivers. Researchers in the field of educational psychology study how people learn and the best way to teach them. Health psychology aims to determine the effect of psychological factors on physiological health. Physiological psychology , on the other hand, looks at the influence of physiological aspects on behaviour. Experimental psychology is not the only theme that uses experimental research and focuses on the traditional core topics of psychology (for example, sensation). Cognitive psychology studies the higher mental processes. Psychometrics is concerned with measuring capacity or behaviour. Personality research aims to assess and describe consistency in human behaviour ( Weiten, 2010 ). The final theme of psychological practice refers to the experiences, techniques, and interventions employed by practitioners, researchers, and academia in the field of psychology.

Articles under these themes were further subdivided into methodologies: method, sampling, design, data collection, and data analysis. The categorisation was based on information stated in the articles and not inferred by the researchers. Data were compiled into two sets of results presented in this article. The first set addresses the aim of this study from the perspective of the topics identified. The second set of results represents a broad overview of the results from the perspective of the methodology employed. The second set of results are discussed in this article, while the first set is presented in table format. The discussion thus provides a broad overview of methods use in psychology (across all themes), while the table format provides readers with in-depth insight into methods used in the individual themes identified. We believe that presenting the data from both perspectives allow readers a broad understanding of the results. Due a large amount of information that made up our results, we followed Cichocka and Jost (2014) in simplifying our results. Please note that the numbers indicated in the table in terms of methodology differ from the total number of articles. Some articles employed more than one method/sampling technique/design/data collection method/data analysis in their studies.

Table 2 . Research methods in psychology.

Figure 4 . Research method frequency in topics.

Secondly, in the case of how these research methods are employed , our study indicated the following.

Table 3 . Sampling use in the field of psychology.

Figure 5 . Sampling method frequency in topics.

Designs were categorised based on the articles' statement thereof. Therefore, it is important to note that, in the case of quantitative studies, non-experimental designs (25.55%) were often indicated due to a lack of experiments and any other indication of design, which, according to Laher (2016) , is a reasonable categorisation. Non-experimental designs should thus be compared with experimental designs only in the description of data, as it could include the use of correlational/cross-sectional designs, which were not overtly stated by the authors. For the remainder of the research methods, “not stated” (7.12%) was assigned to articles without design types indicated.

Table 4 . Design use in the field of psychology.

Figure 6 . Design frequency in topics.

Table 5 . Data collection in the field of psychology.

Figure 7 . Data collection frequency in topics.

Table 6 . Data analysis in the field of psychology.

Results of the topics researched in psychology can be seen in the tables, as previously stated in this article. It is noteworthy that, of the 10 topics, social psychology accounted for 43.54% of the studies, with cognitive psychology the second most popular research topic at 16.92%. The remainder of the topics only occurred in 4.0–7.0% of the articles considered. A list of the included 999 articles is available under the section “View Articles” on the following website: https://methodgarden.xtrapolate.io/ . This website was created by Scholtz et al. (2019) to visually present a research framework based on this Article's results.

With regard to the methods used, our data stayed true to literature, finding only common research methods ( Grant and Booth, 2009 ; Maree, 2016 ) that varied in the degree to which they were employed. Quantitative research was found to be the most popular method, as indicated by literature ( Breen and Darlaston-Jones, 2010 ; Counsell and Harlow, 2017 ) and previous studies in specific areas of psychology (see Coetzee and Van Zyl, 2014 ). Its long history as the first research method ( Leech et al., 2007 ) in the field of psychology as well as researchers' current application of mathematical approaches in their studies ( Toomela, 2010 ) might contribute to its popularity today. Whatever the case may be, our results show that, despite the growth in qualitative research ( Demuth, 2015 ; Smith and McGannon, 2018 ), quantitative research remains the first choice for article publication in these journals. Despite the included journals indicating openness to articles that apply any research methods. This finding may be due to qualitative research still being seen as a new method ( Burman and Whelan, 2011 ) or reviewers' standards being higher for qualitative studies ( Bluhm et al., 2011 ). Future research is encouraged into the possible biasness in publication of research methods, additionally further investigation with a different sample into the proclaimed growth of qualitative research may also provide different results.

Review studies were found to surpass that of multi-method and mixed method studies. To this effect Grant and Booth (2009) , state that the increased awareness, journal contribution calls as well as its efficiency in procuring research funds all promote the popularity of reviews. The low frequency of mixed method studies contradicts the view in literature that it's the third most utilised research method ( Tashakkori and Teddlie's, 2003 ). Its' low occurrence in this sample could be due to opposing views on mixing methods ( Gunasekare, 2015 ) or that authors prefer publishing in mixed method journals, when using this method, or its relative novelty ( Ivankova et al., 2016 ). Despite its low occurrence, the application of the mixed methods design in articles was methodologically clear in all cases which were not the case for the remainder of research methods.

Additionally, a substantial number of studies used a combination of methodologies that are not mixed or multi-method studies. Perceived fixed boundaries are according to literature often set aside, as confirmed by this result, in order to investigate the aim of a study, which could create a new and helpful way of understanding the world ( Gunasekare, 2015 ). According to Toomela (2010) , this is not unheard of and could be considered a form of “structural systemic science,” as in the case of qualitative methodology (observation) applied in quantitative studies (experimental design) for example. Based on this result, further research into this phenomenon as well as its implications for research methods such as multi and mixed methods is recommended.

Discerning how these research methods were applied, presented some difficulty. In the case of sampling, most studies—regardless of method—did mention some form of inclusion and exclusion criteria, but no definite sampling method. This result, along with the fact that samples often consisted of students from the researchers' own academic institutions, can contribute to literature and debates among academics ( Peterson and Merunka, 2014 ; Laher, 2016 ). Samples of convenience and students as participants especially raise questions about the generalisability and applicability of results ( Peterson and Merunka, 2014 ). This is because attention to sampling is important as inappropriate sampling can debilitate the legitimacy of interpretations ( Onwuegbuzie and Collins, 2017 ). Future investigation into the possible implications of this reported popular use of convenience samples for the field of psychology as well as the reason for this use could provide interesting insight, and is encouraged by this study.

Additionally, and this is indicated in Table 6 , articles seldom report the research designs used, which highlights the pressing aspect of the lack of rigour in the included sample. Rigour with regards to the applied empirical method is imperative in promoting psychology as a science ( American Psychological Association, 2020 ). Omitting parts of the research process in publication when it could have been used to inform others' research skills should be questioned, and the influence on the process of replicating results should be considered. Publications are often rejected due to a lack of rigour in the applied method and designs ( Fonseca, 2013 ; Laher, 2016 ), calling for increased clarity and knowledge of method application. Replication is a critical part of any field of scientific research and requires the “complete articulation” of the study methods used ( Drotar, 2010 , p. 804). The lack of thorough description could be explained by the requirements of certain journals to only report on certain aspects of a research process, especially with regard to the applied design (Laher, 20). However, naming aspects such as sampling and designs, is a requirement according to the APA's Journal Article Reporting Standards (JARS-Quant) ( Appelbaum et al., 2018 ). With very little information on how a study was conducted, authors lose a valuable opportunity to enhance research validity, enrich the knowledge of others, and contribute to the growth of psychology and methodology as a whole. In the case of this research study, it also restricted our results to only reported samples and designs, which indicated a preference for certain designs, such as cross-sectional designs for quantitative studies.

With regard to the topics these methods were employed for, our research study found a new field named “psychological practice.” This result may show the growing consciousness of researchers as part of the research process ( Denzin and Lincoln, 2003 ), psychological practice, and knowledge generation. The most popular of these topics was social psychology, which is generously covered in journals and by learning societies, as testaments of the institutional support and richness social psychology has in the field of psychology ( Chryssochoou, 2015 ). The APA's perspective on 2018 trends in psychology also identifies an increased amount of psychology focus on how social determinants are influencing people's health ( Deangelis, 2017 ).

This study was not without limitations and the following should be taken into account. Firstly, this study used a sample of five specific journals to address the aim of the research study, despite general journal aims (as stated on journal websites), this inclusion signified a bias towards the research methods published in these specific journals only and limited generalisability. A broader sample of journals over a different period of time, or a single journal over a longer period of time might provide different results. A second limitation is the use of Excel spreadsheets and an electronic system to log articles, which was a manual process and therefore left room for error ( Bandara et al., 2015 ). To address this potential issue, co-coding was performed to reduce error. Lastly, this article categorised data based on the information presented in the article sample; there was no interpretation of what methodology could have been applied or whether the methods stated adhered to the criteria for the methods used. Thus, a large number of articles that did not clearly indicate a research method or design could influence the results of this review. However, this in itself was also a noteworthy result. Future research could review research methods of a broader sample of journals with an interpretive review tool that increases rigour. Additionally, the authors also encourage the future use of systematised review designs as a way to promote a concise procedure in applying this design.

Ethics Statement

This study was cleared by the North-West University Health Research Ethics Committee: NWU-00115-17-S1.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords: research methods, research approach, research trends, psychological research, systematised review, research designs, research topic

Citation: Scholtz SE, de Klerk W and de Beer LT (2020) The Use of Research Methods in Psychological Research: A Systematised Review. Front. Res. Metr. Anal. 5:1. doi: 10.3389/frma.2020.00001

Received: 30 December 2019; Accepted: 28 February 2020; Published: 20 March 2020.

Reviewed by:

Copyright © 2020 Scholtz, de Klerk and de Beer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Salomé Elizabeth Scholtz, 22308563@nwu.ac.za

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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50+ Research Topics for Psychology Papers

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The key to selecting a good topic for your psychology paper is to select something that is narrow enough to allow you to really focus on the subject, but not so narrow that it is difficult to find sources or information to write about.

One approach is to narrow your focus down to a subject within a specific branch of psychology. For example, you might start by deciding that you want to write a paper on some sort of social psychology topic. Next, you might narrow your focus down to how persuasion can be used to influence behavior .

Other social psychology topics you might consider include:

Prejudice and discrimination (i.e., homophobia, sexism, racism)
Social cognition
Person perception
Social control and cults
Persuasion, propaganda, and marketing
Attraction, romance, and love
Nonverbal communication
Prosocial behavior

Psychology Research Topics Involving a Disorder or Type of Therapy

Exploring a psychological disorder or a specific treatment modality can also be a good topic for a psychology paper. Some potential abnormal psychology topics include specific psychological disorders or particular treatment modalities, including:

Eating disorders
Borderline personality disorder
Seasonal affective disorder
Schizophrenia
Antisocial personality disorder
Profile a type of therapy (i.e., cognitive-behavioral therapy, group therapy, psychoanalytic therapy)

Topics of Psychology Research Related to Human Cognition

Some of the possible topics you might explore in this area include thinking, language, intelligence, and decision-making. Other ideas might include:

False memories
Speech disorders
Problem-solving

Topics of Psychology Research Related to Human Development

In this area, you might opt to focus on issues pertinent to early childhood such as language development, social learning, or childhood attachment or you might instead opt to concentrate on issues that affect older adults such as dementia or Alzheimer's disease.

Some other topics you might consider include:

Language acquisition
Media violence and children
Learning disabilities
Gender roles
Child abuse
Prenatal development
Parenting styles
Aspects of the aging process

Do a Critique of Publications Involving Psychology Research Topics

One option is to consider writing a critique paper of a published psychology book or academic journal article. For example, you might write a critical analysis of Sigmund Freud's Interpretation of Dreams or you might evaluate a more recent book such as Philip Zimbardo's The Lucifer Effect: Understanding How Good People Turn Evil .

Professional and academic journals are also great places to find materials for a critique paper. Browse through the collection at your university library to find titles devoted to the subject that you are most interested in, then look through recent articles until you find one that grabs your attention.

Topics of Psychology Research Related to Famous Experiments

There have been many fascinating and groundbreaking experiments throughout the history of psychology, providing ample material for students looking for an interesting term paper topic. In your paper, you might choose to summarize the experiment, analyze the ethics of the research, or evaluate the implications of the study. Possible experiments that you might consider include:

The Milgram Obedience Experiment
The Stanford Prison Experiment
The Little Albert Experiment
Pavlov's Conditioning Experiments
The Asch Conformity Experiment
Harlow's Rhesus Monkey Experiments

Topics of Psychology Research About Historical Figures

One of the simplest ways to find a great topic is to choose an interesting person in the history of psychology and write a paper about them. Your paper might focus on many different elements of the individual's life, such as their biography, professional history, theories, or influence on psychology.

While this type of paper may be historical in nature, there is no need for this assignment to be dry or boring. Psychology is full of fascinating figures rife with intriguing stories and anecdotes. Consider such famous individuals as Sigmund Freud, B.F. Skinner, Harry Harlow, or one of the many other eminent psychologists .

Psychology Research Topics About a Specific Career

Another possible topic, depending on the course in which you are enrolled, is to write about specific career paths within the field of psychology . This type of paper is especially appropriate if you are exploring different subtopics or considering which area interests you the most.

In your paper, you might opt to explore the typical duties of a psychologist, how much people working in these fields typically earn, and the different employment options that are available.

Topics of Psychology Research Involving Case Studies

One potentially interesting idea is to write a psychology case study of a particular individual or group of people. In this type of paper, you will provide an in-depth analysis of your subject, including a thorough biography.

Generally, you will also assess the person, often using a major psychological theory such as Piaget's stages of cognitive development or Erikson's eight-stage theory of human development . It is also important to note that your paper doesn't necessarily have to be about someone you know personally.

In fact, many professors encourage students to write case studies on historical figures or fictional characters from books, television programs, or films.

Psychology Research Topics Involving Literature Reviews

Another possibility that would work well for a number of psychology courses is to do a literature review of a specific topic within psychology. A literature review involves finding a variety of sources on a particular subject, then summarizing and reporting on what these sources have to say about the topic.

Literature reviews are generally found in the introduction of journal articles and other psychology papers , but this type of analysis also works well for a full-scale psychology term paper.

Topics of Psychology Research Based on Your Own Study or Experiment

Many psychology courses require students to design an actual psychological study or perform some type of experiment. In some cases, students simply devise the study and then imagine the possible results that might occur. In other situations, you may actually have the opportunity to collect data, analyze your findings, and write up your results.

Finding a topic for your study can be difficult, but there are plenty of great ways to come up with intriguing ideas. Start by considering your own interests as well as subjects you have studied in the past.

Online sources, newspaper articles, books , journal articles, and even your own class textbook are all great places to start searching for topics for your experiments and psychology term papers. Before you begin, learn more about how to conduct a psychology experiment .

What This Means For You

After looking at this brief list of possible topics for psychology papers, it is easy to see that psychology is a very broad and diverse subject. While this variety makes it possible to find a topic that really catches your interest, it can sometimes make it very difficult for some students to select a good topic.

If you are still stumped by your assignment, ask your instructor for suggestions and consider a few from this list for inspiration.

Hockenbury, SE & Nolan, SA. Psychology. New York: Worth Publishers; 2014.
Santrock, JW. A Topical Approach to Lifespan Development. New York: McGraw-Hill Education; 2016.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Academic and Writing Resources

Effective Studying

How to Effectively Study

Research-supported techniques.

Outside of lecture, university students are commonly expected to master course content on their own. However, multiple research studies have found that many university students are commonly unaware of, and seldom use, effective learning techniques. 1,2 In the following section (and the linked pages below) we discuss important do’s and don’ts of successful learning, plus introduce several of the most promising and effective evidence-based learning methods . These are backed by a growing body of learning science research – a substantial portion of which has been conducted right here at UCSD and in this very department. By taking advantage of these methods, students can transform their learning activities to be more efficient (make better use of time) and more effective (resulting in learning that is more comprehensive and lasts longer).

What Students Need to Do to Succeed

Psychology courses, as well as those in many other departments and at other universities, revolve around high-stakes tests (for example, midterms, final exams). In fact, on average, 80% of the course grade in PSYC classes at UCSD is determined by exam performance. 3 In order to perform well on such exams, it is crucial for students to master a wide range of course content.

How can that objective be accomplished? Through the use of evidence-based learning methods. Note that these are not described as “study methods”. Although it is common to describe preparing for an exam as “studying”, which is why this page is titled as such, simply “studying” information multiple times (“restudying”, “rereading”, or “reviewing”) is by itself often not very effective. 4,5 Instead, as described below, other methods are far more powerful at improving the learning of course content.

The Most Effective Learning Techniques

If you have only limited time to read this page, at least check out the following two points. For further details, click on the links to learn more.

Based on decades of learning science research, the two most effective methods known to date are:

Spaced practice / distributed practice – learning that occurs over multiple sessions at different points in time (for example, revisiting a textbook chapter once every three days). This technique refers to when you should be preparing for course exams (that is, multiple sessions spread out over several weeks).

► Further information: Spaced Practice

Retrieval practice / practice testing – instead of simply restudying information, attempting to recall that information from memory (such as by taking a practice test). This technique refers to what you should be doing to prepare for course exams (that is, test yourself via practice tests or other recall-based techniques).

► Further information: Retrieval Practice

Spaced practice involves when you should “study” and retrieval practice involves how you should “study”. When you use both (for instance, you can prepare for your exams using a spaced practice schedule and then use retrieval practice during each session), they make a powerful combination.

Additionally, if you perform retrieval practice across multiple days – and, each time, practice recalling information until you attain 100% accuracy (a method called successive relearning ) – then recent research shows that your ability to retain that information over long periods of time is maximized. 6

Finally, besides spaced and retrieval practice, there are some additional learning techniques that you may wish to try. These included interleaved practice, self-explanation, and others.

► Further information: Other Learning Techniques

Workshops and Downloadable Resources

For in-person discussion of these techniques, please consider attending this department’s “How to Study Less and Remember More” workshop (for dates and times, please check the undergraduate workshops calendar).
How to Study Less and Remember More [ PDF ]

Further Resources

UCSD Tutoring
Scientific American article, “What Works, What Doesn’t" (2013)
Make it Stick: The Science of Successful Learning (2014)
Cornell University: How to Study Effectively (videos)

1 Kornell, N., & Bjork, R. A. (2007). The promise and perils of self-regulated study. Psychonomic Bulletin & Review , 14 (2), 219-224. 2 Karpicke, J. D., Butler, A. C., & Roediger III, H. L. (2009). Metacognitive strategies in student learning: do students practise retrieval when they study on their own? Memory , 17 (4), 471-479. 3 Based on analysis of PSYC 1, 2, 3, 4, 7, 60, 101, 102, 103, 105, 106, 120, 144, 145, 154, 163, 164, 161, 171, 181, 182, 190, 191, and 193 courses at UCSD, taught between 2013-2017. 4 Pashler, H., Bain, P. M., Bottge, B. A., Graesser, A., Koedinger, K., McDaniel, M., & Metcalfe, J. (2007). Organizing Instruction and Study to Improve Student Learning. IES Practice Guide. NCER 2007-2004. National Center for Education Research . 5 Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest , 14 (1), 4-58. 6 Rawson, K. A., Dunlosky, J., & Sciartelli, S. M. (2013). The power of successive relearning: Improving performance on course exams and long-term retention. Educational Psychology Review , 25 (4), 523-548.

Prepared by s. c. pan for ucsd psychology, graphic adapted with permission from ccnlab.net under creative commons attribution-share alike 4.0 international license..

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