Psychology Research Methods: Creating a Research Question
- Creating a Research Question
- Search Terms
- Search Strategies
- Recording Your Research
- Finding Articles
- Finding Books
- Journal Articles
- Books & Other Sources
- Publisher URL
Choosing a Topic
Sometimes the most difficult part of the research process is choosing a topic. Here are some tips for selecting a research question that you will enjoy learning about and will ultimately lead to a good grade.
- Read through your assignment. Professors design an assignment outline for a reason. Make sure your topic can and will adhere to their requirements and guidelines.
- Choose a topic you are interested in. If you don't like what you're researching, chances are you won't learn a whole lot or enjoy the process. And really, what's the point of that?
- Browse resources that relate to your course work. Look through a newspaper, magazine, or database for current events or hot topics. Browsing can spark a lot of great ideas and can help you refine your topic.
- Ask for help! There is nothing wrong with asking your professor or a librarian to help you brainstorm ideas.
Where to Start
The links below are great places to start in developing a research question. Browsing current events and hot topics can spark your interest and inspire a topic.
- Alvernia's "Opposing Viewpoints" Collection
- Alvernia's Reference Collection
- Google Trends
- Health & Medicine
- Hot Paper Topics
- Hot Topics for Research Papers
- National Library of Medicine
- New York Times
- NPR Research News
- Pew Research Center
- Psychology Encyclopedias - eBooks
- Psychology Encyclopedias - print
- Public Agenda's Programs and Reports
- MedLinePlus This link opens in a new window
- Opposing Viewpoints in Context This link opens in a new window
APA PsycINFO Guides
These APA PsycINFO guides include suggested subject terms to aid you in your research.
- Behavioral Economics
- Child Development
- Computers & the Internet
- Gerontology
- Grief & Trauma Counseling
- Integrative Medicine
- Marketing & Advertising
- Military Psychology
- Neuroscience
- Psychology and The Law
- Public Health
- Religion & Spirituality
- Sexuality & Gender Identity
- Social Work
Helpful Tools
- bubbl.us - Brainstorming Made Simple
- Critical Thinking Model
- Glean Comparison Search
- Thesis Builder
How to Formulate an Answerable Clinical Question
P opulation/patients
I ntervention/indicator
C omparator/control
- P I C O: Formulate an Answerable Question
- Formulating Answerable Clinical Questions
Developing your Research Question
- Creating a Research Question Helps you to write a narrow, focused research question.
Try asking yourself these questions to help develop a research question:
Topic: Obesity
Who? teenagers
What? consumption of high fat foods
Where? school cafeterias
Question : How does the consumption of high fat foods in school cafeterias contribute to teenager obesity?
Topic: Smoke Exposure
Who? children exposed to smoke
What? developmental abilities
Question : How does smoke exposure alter the developmental abilities of children?
Below is worksheet which will help illustrate how a research question develops from a broad topic to a focused question. This could be a helpful resource for you during the process of creating your research question.
Translating Your Research Question into a Search
Research Question:
Does the rate of medication compliance change when the number of prescribed medications increase for older adults?
1. Identify the main concepts
Does the rate of medication compliance change when the number of prescribed medications increase for older adults ?
2. Add related terms or synonyms
Things to consider Example
synonyms drugs OR medications
antonyms adherence OR nonadherence
- Use terms you would expect professionals to use in published articles
- Browse psychology encyclopedia articles for terms
- Check PsycINFO Guides
3. Connect related terms with OR. Connect concepts with AND
(medication OR drugs) AND (compliance OR adherence OR nonadherence) AND (multiple OR polypharmacy) AND (elderly OR aged)
- << Previous: Research Help
- Next: Search Terms >>
- Last Updated: Aug 18, 2023 3:22 PM
- URL: https://alvernia.libguides.com/psychology_research
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- Knowledge Base
- Starting the research process
- 10 Research Question Examples to Guide Your Research Project
10 Research Question Examples to Guide your Research Project
Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.
The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.
The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.
Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.
Research question | Explanation |
---|---|
The first question is not enough. The second question is more , using . | |
Starting with “why” often means that your question is not enough: there are too many possible answers. By targeting just one aspect of the problem, the second question offers a clear path for research. | |
The first question is too broad and subjective: there’s no clear criteria for what counts as “better.” The second question is much more . It uses clearly defined terms and narrows its focus to a specific population. | |
It is generally not for academic research to answer broad normative questions. The second question is more specific, aiming to gain an understanding of possible solutions in order to make informed recommendations. | |
The first question is too simple: it can be answered with a simple yes or no. The second question is , requiring in-depth investigation and the development of an original argument. | |
The first question is too broad and not very . The second question identifies an underexplored aspect of the topic that requires investigation of various to answer. | |
The first question is not enough: it tries to address two different (the quality of sexual health services and LGBT support services). Even though the two issues are related, it’s not clear how the research will bring them together. The second integrates the two problems into one focused, specific question. | |
The first question is too simple, asking for a straightforward fact that can be easily found online. The second is a more question that requires and detailed discussion to answer. | |
? dealt with the theme of racism through casting, staging, and allusion to contemporary events? | The first question is not — it would be very difficult to contribute anything new. The second question takes a specific angle to make an original argument, and has more relevance to current social concerns and debates. |
The first question asks for a ready-made solution, and is not . The second question is a clearer comparative question, but note that it may not be practically . For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries. |
Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.
Type of research | Example question |
---|---|
Qualitative research question | |
Quantitative research question | |
Statistical research question |
Other interesting articles
If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
Methodology
- Sampling methods
- Simple random sampling
- Stratified sampling
- Cluster sampling
- Likert scales
- Reproducibility
Statistics
- Null hypothesis
- Statistical power
- Probability distribution
- Effect size
- Poisson distribution
Research bias
- Optimism bias
- Cognitive bias
- Implicit bias
- Hawthorne effect
- Anchoring bias
- Explicit bias
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- Get Started
What is a Research Question?
Developing a research question (northern kentucky university), developing a research question (indiana university).
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Contact a Librarian
A research question is a statement that defines what is to be studied. It is the core of the research project, study, or literature review. Your research question focuses the study, determines the methodology, and guides all stages of inquiry, analysis, and reporting.
Your research question should...
- Be focused
- Identify the problem you're writing about
- Establish significance
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2.2 Generating Good Research Questions
Learning objectives.
- Describe some common sources of research ideas and generate research ideas using those sources.
- Describe some techniques for turning research ideas into empirical research questions and use those techniques to generate questions.
- Explain what makes a research question interesting and evaluate research questions in terms of their interestingness.
Good research must begin with a good research question. Yet coming up with good research questions is something that novice researchers often find difficult and stressful. One reason is that this is a creative process that can appear mysterious—even magical—with experienced researchers seeming to pull interesting research questions out of thin air. However, psychological research on creativity has shown that it is neither as mysterious nor as magical as it appears. It is largely the product of ordinary thinking strategies and persistence (Weisberg, 1993). This section covers some fairly simple strategies for finding general research ideas, turning those ideas into empirically testable research questions, and finally evaluating those questions in terms of how interesting they are and how feasible they would be to answer.
Finding Inspiration
Research questions often begin as more general research ideas—usually focusing on some behavior or psychological characteristic: talkativeness, memory for touches, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas come from in the first place. Three of the most common sources of inspiration are informal observations, practical problems, and previous research.
Informal observations include direct observations of our own and others’ behavior as well as secondhand observations from nonscientific sources such as newspapers, books, and so on. For example, you might notice that you always seem to be in the slowest moving line at the grocery store. Could it be that most people think the same thing? Or you might read in the local newspaper about people donating money and food to a local family whose house has burned down and begin to wonder about who makes such donations and why. Some of the most famous research in psychology has been inspired by informal observations. Stanley Milgram’s famous research on obedience, for example, was inspired in part by journalistic reports of the trials of accused Nazi war criminals—many of whom claimed that they were only obeying orders. This led him to wonder about the extent to which ordinary people will commit immoral acts simply because they are ordered to do so by an authority figure (Milgram, 1963).
Practical problems can also inspire research ideas, leading directly to applied research in such domains as law, health, education, and sports. Can human figure drawings help children remember details about being physically or sexually abused? How effective is psychotherapy for depression compared to drug therapy? To what extent do cell phones impair people’s driving ability? How can we teach children to read more efficiently? What is the best mental preparation for running a marathon?
Probably the most common inspiration for new research ideas, however, is previous research. Recall that science is a kind of large-scale collaboration in which many different researchers read and evaluate each other’s work and conduct new studies to build on it. Of course, experienced researchers are familiar with previous research in their area of expertise and probably have a long list of ideas. This suggests that novice researchers can find inspiration by consulting with a more experienced researcher (e.g., students can consult a faculty member). But they can also find inspiration by picking up a copy of almost any professional journal and reading the titles and abstracts. In one typical issue of Psychological Science , for example, you can find articles on the perception of shapes, anti-Semitism, police lineups, the meaning of death, second-language learning, people who seek negative emotional experiences, and many other topics. If you can narrow your interests down to a particular topic (e.g., memory) or domain (e.g., health care), you can also look through more specific journals, such as Memory & Cognition or Health Psychology .
Generating Empirically Testable Research Questions
Once you have a research idea, you need to use it to generate one or more empirically testable research questions, that is, questions expressed in terms of a single variable or relationship between variables. One way to do this is to look closely at the discussion section in a recent research article on the topic. This is the last major section of the article, in which the researchers summarize their results, interpret them in the context of past research, and suggest directions for future research. These suggestions often take the form of specific research questions, which you can then try to answer with additional research. This can be a good strategy because it is likely that the suggested questions have already been identified as interesting and important by experienced researchers.
But you may also want to generate your own research questions. How can you do this? First, if you have a particular behavior or psychological characteristic in mind, you can simply conceptualize it as a variable and ask how frequent or intense it is. How many words on average do people speak per day? How accurate are children’s memories of being touched? What percentage of people have sought professional help for depression? If the question has never been studied scientifically—which is something that you will learn in your literature review—then it might be interesting and worth pursuing.
If scientific research has already answered the question of how frequent or intense the behavior or characteristic is, then you should consider turning it into a question about a statistical relationship between that behavior or characteristic and some other variable. One way to do this is to ask yourself the following series of more general questions and write down all the answers you can think of.
- What are some possible causes of the behavior or characteristic?
- What are some possible effects of the behavior or characteristic?
- What types of people might exhibit more or less of the behavior or characteristic?
- What types of situations might elicit more or less of the behavior or characteristic?
In general, each answer you write down can be conceptualized as a second variable, suggesting a question about a statistical relationship. If you were interested in talkativeness, for example, it might occur to you that a possible cause of this psychological characteristic is family size. Is there a statistical relationship between family size and talkativeness? Or it might occur to you that people seem to be more talkative in same-sex groups than mixed-sex groups. Is there a difference in the average level of talkativeness of people in same-sex groups and people in mixed-sex groups? This approach should allow you to generate many different empirically testable questions about almost any behavior or psychological characteristic.
If through this process you generate a question that has never been studied scientifically—which again is something that you will learn in your literature review—then it might be interesting and worth pursuing. But what if you find that it has been studied scientifically? Although novice researchers often want to give up and move on to a new question at this point, this is not necessarily a good strategy. For one thing, the fact that the question has been studied scientifically and the research published suggests that it is of interest to the scientific community. For another, the question can almost certainly be refined so that its answer will still contribute something new to the research literature. Again, asking yourself a series of more general questions about the statistical relationship is a good strategy.
- Are there other ways to operationally define the variables?
- Are there types of people for whom the statistical relationship might be stronger or weaker?
- Are there situations in which the statistical relationship might be stronger or weaker—including situations with practical importance?
For example, research has shown that women and men speak about the same number of words per day—but this was when talkativeness was measured in terms of the number of words spoken per day among college students in the United States and Mexico. We can still ask whether other ways of measuring talkativeness—perhaps the number of different people spoken to each day—produce the same result. Or we can ask whether studying elderly people or people from other cultures produces the same result. Again, this approach should help you generate many different research questions about almost any statistical relationship.
Evaluating Research Questions
Researchers usually generate many more research questions than they ever attempt to answer. This means they must have some way of evaluating the research questions they generate so that they can choose which ones to pursue. In this section, we consider two criteria for evaluating research questions: the interestingness of the question and the feasibility of answering it.
Interestingness
How often do people tie their shoes? Do people feel pain when you punch them in the jaw? Are women more likely to wear makeup than men? Do people prefer vanilla or chocolate ice cream? Although it would be a fairly simple matter to design a study and collect data to answer these questions, you probably would not want to because they are not interesting. We are not talking here about whether a research question is interesting to us personally but whether it is interesting to people more generally and, especially, to the scientific community. But what makes a research question interesting in this sense? Here we look at three factors that affect the interestingness of a research question: the answer is in doubt, the answer fills a gap in the research literature, and the answer has important practical implications.
First, a research question is interesting to the extent that its answer is in doubt. Obviously, questions that have been answered by scientific research are no longer interesting as the subject of new empirical research. But the fact that a question has not been answered by scientific research does not necessarily make it interesting. There has to be some reasonable chance that the answer to the question will be something that we did not already know. But how can you assess this before actually collecting data? One approach is to try to think of reasons to expect different answers to the question—especially ones that seem to conflict with common sense. If you can think of reasons to expect at least two different answers, then the question might be interesting. If you can think of reasons to expect only one answer, then it probably is not. The question of whether women are more talkative than men is interesting because there are reasons to expect both answers. The existence of the stereotype itself suggests the answer could be yes, but the fact that women’s and men’s verbal abilities are fairly similar suggests the answer could be no. The question of whether people feel pain when you punch them in the jaw is not interesting because there is absolutely no reason to think that the answer could be anything other than a resounding yes.
A second important factor to consider when deciding if a research question is interesting is whether answering it will fill a gap in the research literature. Again, this means in part that the question has not already been answered by scientific research. But it also means that the question is in some sense a natural one for people who are familiar with the research literature. For example, the question of whether human figure drawings can help children recall touch information would be likely to occur to anyone who was familiar with research on the unreliability of eyewitness memory (especially in children) and the ineffectiveness of some alternative interviewing techniques.
A final factor to consider when deciding whether a research question is interesting is whether its answer has important practical implications. Again, the question of whether human figure drawings help children recall information about being touched has important implications for how children are interviewed in physical and sexual abuse cases. The question of whether cell phone use impairs driving is interesting because it is relevant to the personal safety of everyone who travels by car and to the debate over whether cell phone use should be restricted by law.
Feasibility
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that they do not waste time and effort pursuing research that they cannot complete successfully.
Looking through a sample of professional journals in psychology will reveal many studies that are complicated and difficult to carry out. These include longitudinal designs in which participants are tracked over many years, neuroimaging studies in which participants’ brain activity is measured while they carry out various mental tasks, and complex nonexperimental studies involving several variables and complicated statistical analyses. Keep in mind, though, that such research tends to be carried out by teams of highly trained researchers whose work is often supported in part by government and private grants. Keep in mind also that research does not have to be complicated or difficult to produce interesting and important results. Looking through a sample of professional journals will also reveal studies that are relatively simple and easy to carry out—perhaps involving a convenience sample of college students and a paper-and-pencil task.
A final point here is that it is generally good practice to use methods that have already been used successfully by other researchers. For example, if you want to manipulate people’s moods to make some of them happy, it would be a good idea to use one of the many approaches that have been used successfully by other researchers (e.g., paying them a compliment). This is good not only for the sake of feasibility—the approach is “tried and true”—but also because it provides greater continuity with previous research. This makes it easier to compare your results with those of other researchers and to understand the implications of their research for yours, and vice versa.
Key Takeaways
- Research ideas can come from a variety of sources, including informal observations, practical problems, and previous research.
- Research questions expressed in terms of variables and relationships between variables can be suggested by other researchers or generated by asking a series of more general questions about the behavior or psychological characteristic of interest.
- It is important to evaluate how interesting a research question is before designing a study and collecting data to answer it. Factors that affect interestingness are the extent to which the answer is in doubt, whether it fills a gap in the research literature, and whether it has important practical implications.
- It is also important to evaluate how feasible a research question will be to answer. Factors that affect feasibility include time, money, technical knowledge and skill, and access to special equipment and research participants.
- Practice: Generate five research ideas based on each of the following: informal observations, practical problems, and topics discussed in recent issues of professional journals.
- Practice: Generate five empirical research questions about each of the following behaviors or psychological characteristics: long-distance running, getting tattooed, social anxiety, bullying, and memory for early childhood events.
- Practice: Evaluate each of the research questions you generated in Exercise 2 in terms of its interestingness based on the criteria discussed in this section.
- Practice: Find an issue of a journal that publishes short empirical research reports (e.g., Psychological Science , Psychonomic Bulletin and Review , Personality and Social Psychology Bulletin ). Pick three studies, and rate each one in terms of how feasible it would be for you to replicate it with the resources available to you right now. Use the following rating scale: (1) You could replicate it essentially as reported. (2) You could replicate it with some simplifications. (3) You could not replicate it. Explain each rating.
Milgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67 , 371–378.
Weisberg, R. W. (1993). Creativity: Beyond the myth of genius . New York, NY: Freeman.
Research Methods in Psychology Copyright © 2016 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.
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Chapter 2: Getting Started in Research
Generating Good Research Questions
Learning Objectives
- Describe some common sources of research ideas and generate research ideas using those sources.
- Describe some techniques for turning research ideas into empirical research questions and use those techniques to generate questions.
- Explain what makes a research question interesting and evaluate research questions in terms of their interestingness.
Good research must begin with a good research question. Yet coming up with good research questions is something that novice researchers often find difficult and stressful. One reason is that this is a creative process that can appear mysterious—even magical—with experienced researchers seeming to pull interesting research questions out of thin air. However, psychological research on creativity has shown that it is neither as mysterious nor as magical as it appears. It is largely the product of ordinary thinking strategies and persistence (Weisberg, 1993) [1] . This section covers some fairly simple strategies for finding general research ideas, turning those ideas into empirically testable research questions, and finally evaluating those questions in terms of how interesting they are and how feasible they would be to answer.
Finding Inspiration
Research questions often begin as more general research ideas—usually focusing on some behaviour or psychological characteristic: talkativeness, learning, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas come from in the first place. Three of the most common sources of inspiration are informal observations, practical problems, and previous research.
Informal observations include direct observations of our own and others’ behaviour as well as secondhand observations from nonscientific sources such as newspapers, books, blogs, and so on. For example, you might notice that you always seem to be in the slowest moving line at the grocery store. Could it be that most people think the same thing? Or you might read in a local newspaper about people donating money and food to a local family whose house has burned down and begin to wonder about who makes such donations and why. Some of the most famous research in psychology has been inspired by informal observations. Stanley Milgram’s famous research on obedience to authority, for example, was inspired in part by journalistic reports of the trials of accused Nazi war criminals—many of whom claimed that they were only obeying orders. This led him to wonder about the extent to which ordinary people will commit immoral acts simply because they are ordered to do so by an authority figure (Milgram, 1963) [2] .
Practical problems can also inspire research ideas, leading directly to applied research in such domains as law, health, education, and sports. Does taking lecture notes by hand improve students’ exam performance? How effective is psychotherapy for depression compared to drug therapy? To what extent do cell phones impair people’s driving ability? How can we teach children to read more efficiently? What is the best mental preparation for running a marathon?
Probably the most common inspiration for new research ideas, however, is previous research. Recall that science is a kind of large-scale collaboration in which many different researchers read and evaluate each other’s work and conduct new studies to build on it. Of course, experienced researchers are familiar with previous research in their area of expertise and probably have a long list of ideas. This suggests that novice researchers can find inspiration by consulting with a more experienced researcher (e.g., students can consult a faculty member). But they can also find inspiration by picking up a copy of almost any professional journal and reading the titles and abstracts. In one typical issue of Psychological Science , for example, you can find articles on the perception of shapes, anti-Semitism, police lineups, the meaning of death, second-language learning, people who seek negative emotional experiences, and many other topics. If you can narrow your interests down to a particular topic (e.g., memory) or domain (e.g., health care), you can also look through more specific journals, such as Memory & Cognition or Health Psychology .
Generating Empirically Testable Research Questions
Once you have a research idea, you need to use it to generate one or more empirically testable research questions, that is, questions expressed in terms of a single variable or relationship between variables. One way to do this is to look closely at the discussion section in a recent research article on the topic. This is the last major section of the article, in which the researchers summarize their results, interpret them in the context of past research, and suggest directions for future research. These suggestions often take the form of specific research questions, which you can then try to answer with additional research. This can be a good strategy because it is likely that the suggested questions have already been identified as interesting and important by experienced researchers.
But you may also want to generate your own research questions. How can you do this? First, if you have a particular behaviour or psychological characteristic in mind, you can simply conceptualize it as a variable and ask how frequent or intense it is. How many words on average do people speak per day? How accurate are our memories of traumatic events? What percentage of people have sought professional help for depression? If the question has never been studied scientifically—which is something that you will learn in your literature review—then it might be interesting and worth pursuing.
If scientific research has already answered the question of how frequent or intense the behaviour or characteristic is, then you should consider turning it into a question about a statistical relationship between that behaviour or characteristic and some other variable. One way to do this is to ask yourself the following series of more general questions and write down all the answers you can think of.
- What are some possible causes of the behaviour or characteristic?
- What are some possible effects of the behaviour or characteristic?
- What types of people might exhibit more or less of the behaviour or characteristic?
- What types of situations might elicit more or less of the behaviour or characteristic?
In general, each answer you write down can be conceptualized as a second variable, suggesting a question about a statistical relationship. If you were interested in talkativeness, for example, it might occur to you that a possible cause of this psychological characteristic is family size. Is there a statistical relationship between family size and talkativeness? Or it might occur to you that people seem to be more talkative in same-sex groups than mixed-sex groups. Is there a difference in the average level of talkativeness of people in same-sex groups and people in mixed-sex groups? This approach should allow you to generate many different empirically testable questions about almost any behaviour or psychological characteristic.
If through this process you generate a question that has never been studied scientifically—which again is something that you will learn in your literature review—then it might be interesting and worth pursuing. But what if you find that it has been studied scientifically? Although novice researchers often want to give up and move on to a new question at this point, this is not necessarily a good strategy. For one thing, the fact that the question has been studied scientifically and the research published suggests that it is of interest to the scientific community. For another, the question can almost certainly be refined so that its answer will still contribute something new to the research literature. Again, asking yourself a series of more general questions about the statistical relationship is a good strategy.
- Are there other ways to operationally define the variables?
- Are there types of people for whom the statistical relationship might be stronger or weaker?
- Are there situations in which the statistical relationship might be stronger or weaker—including situations with practical importance?
For example, research has shown that women and men speak about the same number of words per day—but this was when talkativeness was measured in terms of the number of words spoken per day among university students in the United States and Mexico. We can still ask whether other ways of measuring talkativeness—perhaps the number of different people spoken to each day—produce the same result. Or we can ask whether studying elderly people or people from other cultures produces the same result. Again, this approach should help you generate many different research questions about almost any statistical relationship.
Evaluating Research Questions
Researchers usually generate many more research questions than they ever attempt to answer. This means they must have some way of evaluating the research questions they generate so that they can choose which ones to pursue. In this section, we consider two criteria for evaluating research questions: the interestingness of the question and the feasibility of answering it.
Interestingness
How often do people tie their shoes? Do people feel pain when you punch them in the jaw? Are women more likely to wear makeup than men? Do people prefer vanilla or chocolate ice cream? Although it would be a fairly simple matter to design a study and collect data to answer these questions, you probably would not want to because they are not interesting. We are not talking here about whether a research question is interesting to us personally but whether it is interesting to people more generally and, especially, to the scientific community. But what makes a research question interesting in this sense? Here we look at three factors that affect the interestingness of a research question: the answer is in doubt, the answer fills a gap in the research literature, and the answer has important practical implications.
First, a research question is interesting to the extent that its answer is in doubt. Obviously, questions that have been answered by scientific research are no longer interesting as the subject of new empirical research. But the fact that a question has not been answered by scientific research does not necessarily make it interesting. There has to be some reasonable chance that the answer to the question will be something that we did not already know. But how can you assess this before actually collecting data? One approach is to try to think of reasons to expect different answers to the question—especially ones that seem to conflict with common sense. If you can think of reasons to expect at least two different answers, then the question might be interesting. If you can think of reasons to expect only one answer, then it probably is not. The question of whether women are more talkative than men is interesting because there are reasons to expect both answers. The existence of the stereotype itself suggests the answer could be yes, but the fact that women’s and men’s verbal abilities are fairly similar suggests the answer could be no. The question of whether people feel pain when you punch them in the jaw is not interesting because there is absolutely no reason to think that the answer could be anything other than a resounding yes.
A second important factor to consider when deciding if a research question is interesting is whether answering it will fill a gap in the research literature. Again, this means in part that the question has not already been answered by scientific research. But it also means that the question is in some sense a natural one for people who are familiar with the research literature. For example, the question of whether taking lecture notes by hand can help improve students’ exam performance would be likely to occur to anyone who was familiar with research on notetaking and the ineffectiveness of shallow processing on learning.
A final factor to consider when deciding whether a research question is interesting is whether its answer has important practical implications. Again, the question of whether taking notes by hand improves learning has important implications for education, including classroom policies concerning technology use. The question of whether cell phone use impairs driving is interesting because it is relevant to the personal safety of everyone who travels by car and to the debate over whether cell phone use should be restricted by law.
Feasibility
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that they do not waste time and effort pursuing research that they cannot complete successfully.
Looking through a sample of professional journals in psychology will reveal many studies that are complicated and difficult to carry out. These include longitudinal designs in which participants are tracked over many years, neuroimaging studies in which participants’ brain activity is measured while they carry out various mental tasks, and complex nonexperimental studies involving several variables and complicated statistical analyses. Keep in mind, though, that such research tends to be carried out by teams of highly trained researchers whose work is often supported in part by government and private grants. Keep in mind also that research does not have to be complicated or difficult to produce interesting and important results. Looking through a sample of professional journals will also reveal studies that are relatively simple and easy to carry out—perhaps involving a convenience sample of university students and a paper-and-pencil task.
A final point here is that it is generally good practice to use methods that have already been used successfully by other researchers. For example, if you want to manipulate people’s moods to make some of them happy, it would be a good idea to use one of the many approaches that have been used successfully by other researchers (e.g., paying them a compliment). This is good not only for the sake of feasibility—the approach is “tried and true”—but also because it provides greater continuity with previous research. This makes it easier to compare your results with those of other researchers and to understand the implications of their research for yours, and vice versa.
Key Takeaways
- Research ideas can come from a variety of sources, including informal observations, practical problems, and previous research.
- Research questions expressed in terms of variables and relationships between variables can be suggested by other researchers or generated by asking a series of more general questions about the behaviour or psychological characteristic of interest.
- It is important to evaluate how interesting a research question is before designing a study and collecting data to answer it. Factors that affect interestingness are the extent to which the answer is in doubt, whether it fills a gap in the research literature, and whether it has important practical implications.
- It is also important to evaluate how feasible a research question will be to answer. Factors that affect feasibility include time, money, technical knowledge and skill, and access to special equipment and research participants.
- Practice: Generate five research ideas based on each of the following: informal observations, practical problems, and topics discussed in recent issues of professional journals.
- Practice: Generate five empirical research questions about each of the following behaviours or psychological characteristics: long-distance running, getting tattooed, social anxiety, bullying, and memory for early childhood events.
- Practice: Evaluate each of the research questions you generated in Exercise 2 in terms of its interestingness based on the criteria discussed in this section.
- Practice: Find an issue of a journal that publishes short empirical research reports (e.g., Psychological Science , Psychonomic Bulletin and Review , Personality and Social Psychology Bulletin ). Pick three studies, and rate each one in terms of how feasible it would be for you to replicate it with the resources available to you right now. Use the following rating scale: (1) You could replicate it essentially as reported. (2) You could replicate it with some simplifications. (3) You could not replicate it. Explain each rating.
Video Attributions
- “ How to Develop a Good Research Topic ” by KStateLibraries . CC BY (Attribution)
- Weisberg, R. W. (1993). Creativity: Beyond the myth of genius . New York, NY: Freeman. ↵
- Milgram, S. (1963). Behavioural study of obedience. Journal of Abnormal and Social Psychology, 67 , 371–378. ↵
The level a research question is interesting to the scientific community and people in general.
the state or ability of being easily or conveniently completed.
Research Methods in Psychology - 2nd Canadian Edition Copyright © 2015 by Paul C. Price, Rajiv Jhangiani, & I-Chant A. Chiang is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.
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Overview of the Scientific Method
Learning Objectives
- Describe some techniques for turning research ideas into empirical research questions and use those techniques to generate questions.
- Explain what makes a research question interesting and evaluate research questions in terms of their interestingness.
Generating Empirically Testable Research Questions
Once you have a research idea, you need to use it to generate one or more empirically testable research questions, that is, questions expressed in terms of a single variable or relationship between variables. One way to do this is to look closely at the discussion section in a recent research article on the topic. This is the last major section of the article, in which the researchers summarize their results, interpret them in the context of past research, and suggest directions for future research. These suggestions often take the form of specific research questions, which you can then try to answer with additional research. This can be a good strategy because it is likely that the suggested questions have already been identified as interesting and important by experienced researchers.
But you may also want to generate your own research questions. How can you do this? First, if you have a particular behavior or psychological characteristic in mind, you can simply conceptualize it as a variable and ask how frequent or intense it is. How many words on average do people speak per day? How accurate are our memories of traumatic events? What percentage of people have sought professional help for depression? If the question has never been studied scientifically—which is something that you will learn when you conduct your literature review—then it might be interesting and worth pursuing.
If scientific research has already answered the question of how frequent or intense the behavior or characteristic is, then you should consider turning it into a question about a relationship between that behavior or characteristic and some other variable. One way to do this is to ask yourself the following series of more general questions and write down all the answers you can think of.
- What are some possible causes of the behavior or characteristic?
- What are some possible effects of the behavior or characteristic?
- What types of people might exhibit more or less of the behavior or characteristic?
- What types of situations might elicit more or less of the behavior or characteristic?
In general, each answer you write down can be conceptualized as a second variable, suggesting a question about a relationship. If you were interested in talkativeness, for example, it might occur to you that a possible cause of this psychological characteristic is family size. Is there a relationship between family size and talkativeness? Or it might occur to you that people seem to be more talkative in same-sex groups than mixed-sex groups. Is there a difference in the average level of talkativeness of people in same-sex groups and people in mixed-sex groups? This approach should allow you to generate many different empirically testable questions about almost any behavior or psychological characteristic.
If through this process you generate a question that has never been studied scientifically—which again is something that you will learn in your literature review—then it might be interesting and worth pursuing. But what if you find that it has been studied scientifically? Although novice researchers often want to give up and move on to a new question at this point, this is not necessarily a good strategy. For one thing, the fact that the question has been studied scientifically and the research published suggests that it is of interest to the scientific community. For another, the question can almost certainly be refined so that its answer will still contribute something new to the research literature. Again, asking yourself a series of more general questions about the relationship is a good strategy.
- Are there other ways to define and measure the variables?
- Are there types of people for whom the relationship might be stronger or weaker?
- Are there situations in which the relationship might be stronger or weaker—including situations with practical importance?
For example, research has shown that women and men speak about the same number of words per day—but this was when talkativeness was measured in terms of the number of words spoken per day among university students in the United States and Mexico. We can still ask whether other ways of measuring talkativeness—perhaps the number of different people spoken to each day—produce the same result. Or we can ask whether studying elderly people or people from other cultures produces the same result. Again, this approach should help you generate many different research questions about almost any relationship.
Evaluating Research Questions
Researchers usually generate many more research questions than they ever attempt to answer. This means they must have some way of evaluating the research questions they generate so that they can choose which ones to pursue. In this section, we consider two criteria for evaluating research questions: the interestingness of the question and the feasibility of answering it.
Interestingness
How often do people tie their shoes? Do people feel pain when you punch them in the jaw? Are women more likely to wear makeup than men? Do people prefer vanilla or chocolate ice cream? Although it would be a fairly simple matter to design a study and collect data to answer these questions, you probably would not want to because they are not interesting. We are not talking here about whether a research question is interesting to us personally but whether it is interesting to people more generally and, especially, to the scientific community. But what makes a research question interesting in this sense? Here we look at three factors that affect the interestingness of a research question: the answer is in doubt, the answer fills a gap in the research literature, and the answer has important practical implications.
First, a research question is interesting to the extent that its answer is in doubt. Obviously, questions that have been answered by scientific research are no longer interesting as the subject of new empirical research. But the fact that a question has not been answered by scientific research does not necessarily make it interesting. There has to be some reasonable chance that the answer to the question will be something that we did not already know. But how can you assess this before actually collecting data? One approach is to try to think of reasons to expect different answers to the question—especially ones that seem to conflict with common sense. If you can think of reasons to expect at least two different answers, then the question might be interesting. If you can think of reasons to expect only one answer, then it probably is not. The question of whether women are more talkative than men is interesting because there are reasons to expect both answers. The existence of the stereotype itself suggests the answer could be yes, but the fact that women’s and men’s verbal abilities are fairly similar suggests the answer could be no. The question of whether people feel pain when you punch them in the jaw is not interesting because there is absolutely no reason to think that the answer could be anything other than a resounding yes.
A second important factor to consider when deciding if a research question is interesting is whether answering it will fill a gap in the research literature. Again, this means in part that the question has not already been answered by scientific research. But it also means that the question is in some sense a natural one for people who are familiar with the research literature. For example, the question of whether taking lecture notes by hand can help improve students’ exam performance would be likely to occur to anyone who was familiar with research on note taking and the ineffectiveness of shallow processing on learning.
A final factor to consider when deciding whether a research question is interesting is whether its answer has important practical implications. Again, the question of whether taking notes by hand improves learning has important implications for education, including classroom policies concerning technology use. The question of whether cell phone use impairs driving is interesting because it is relevant to the personal safety of everyone who travels by car and to the debate over whether cell phone use should be restricted by law.
Feasibility
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that they do not waste time and effort pursuing research that they cannot complete successfully.
Looking through a sample of professional journals in psychology will reveal many studies that are complicated and difficult to carry out. These include longitudinal designs in which participants are tracked over many years, neuroimaging studies in which participants’ brain activity is measured while they carry out various mental tasks, and complex non-experimental studies involving several variables and complicated statistical analyses. Keep in mind, though, that such research tends to be carried out by teams of highly trained researchers whose work is often supported in part by government and private grants. Also, keep in mind that research does not have to be complicated or difficult to produce interesting and important results. Looking through a sample of professional journals will also reveal studies that are relatively simple and easy to carry out—perhaps involving a convenience sample of university students and a paper-and-pencil task.
A final point here is that it is generally good practice to use methods that have already been used successfully by other researchers. For example, if you want to manipulate people’s moods to make some of them happy, it would be a good idea to use one of the many approaches that have been used successfully by other researchers (e.g., paying them a compliment). This is good not only for the sake of feasibility—the approach is “tried and true”—but also because it provides greater continuity with previous research. This makes it easier to compare your results with those of other researchers and to understand the implications of their research for yours, and vice versa.
How interesting the question is to people generally or the scientific community. Three things need to be considered: Is the answer in doubt, fills a gap in research literature, and has important practical implications.
How likely is the research question going to be successfully answered depending on the amount of time, money, equipment and materials, technical knowledge and skill, and access to research participants there will be.
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Understanding Methods for Research in Psychology
A Psychology Research Methods Study Guide
Types of Research in Psychology
- Cross-Sectional vs. Longitudinal Research
- Reliability and Validity
Glossary of Terms
Research in psychology focuses on a variety of topics , ranging from the development of infants to the behavior of social groups. Psychologists use the scientific method to investigate questions both systematically and empirically.
Research in psychology is important because it provides us with valuable information that helps to improve human lives. By learning more about the brain, cognition, behavior, and mental health conditions, researchers are able to solve real-world problems that affect our day-to-day lives.
At a Glance
Knowing more about how research in psychology is conducted can give you a better understanding of what those findings might mean to you. Psychology experiments can range from simple to complex, but there are some basic terms and concepts that all psychology students should understand.
Start your studies by learning more about the different types of research, the basics of experimental design, and the relationships between variables.
Research in Psychology: The Basics
The first step in your review should include a basic introduction to psychology research methods . Psychology research can have a variety of goals. What researchers learn can be used to describe, explain, predict, or change human behavior.
Psychologists use the scientific method to conduct studies and research in psychology. The basic process of conducting psychology research involves asking a question, designing a study, collecting data, analyzing results, reaching conclusions, and sharing the findings.
The Scientific Method in Psychology Research
The steps of the scientific method in psychology research are:
- Make an observation
- Ask a research question and make predictions about what you expect to find
- Test your hypothesis and gather data
- Examine the results and form conclusions
- Report your findings
Research in psychology can take several different forms. It can describe a phenomenon, explore the causes of a phenomenon, or look at relationships between one or more variables. Three of the main types of psychological research focus on:
Descriptive Studies
This type of research can tell us more about what is happening in a specific population. It relies on techniques such as observation, surveys, and case studies.
Correlational Studies
Correlational research is frequently used in psychology to look for relationships between variables. While research look at how variables are related, they do not manipulate any of the variables.
While correlational studies can suggest a relationship between two variables, finding a correlation does not prove that one variable causes a change in another. In other words, correlation does not equal causation.
Experimental Research Methods
Experiments are a research method that can look at whether changes in one variable cause changes in another. The simple experiment is one of the most basic methods of determining if there is a cause-and-effect relationship between two variables.
A simple experiment utilizes a control group of participants who receive no treatment and an experimental group of participants who receive the treatment.
Experimenters then compare the results of the two groups to determine if the treatment had an effect.
Cross-Sectional vs. Longitudinal Research in Psychology
Research in psychology can also involve collecting data at a single point in time, or gathering information at several points over a period of time.
Cross-Sectional Research
In a cross-sectional study , researchers collect data from participants at a single point in time. These are descriptive type of research and cannot be used to determine cause and effect because researchers do not manipulate the independent variables.
However, cross-sectional research does allow researchers to look at the characteristics of the population and explore relationships between different variables at a single point in time.
Longitudinal Research
A longitudinal study is a type of research in psychology that involves looking at the same group of participants over a period of time. Researchers start by collecting initial data that serves as a baseline, and then collect follow-up data at certain intervals. These studies can last days, months, or years.
The longest longitudinal study in psychology was started in 1921 and the study is planned to continue until the last participant dies or withdraws. As of 2003, more than 200 of the partipants were still alive.
The Reliability and Validity of Research in Psychology
Reliability and validity are two concepts that are also critical in psychology research. In order to trust the results, we need to know if the findings are consistent (reliability) and that we are actually measuring what we think we are measuring (validity).
Reliability
Reliability is a vital component of a valid psychological test. What is reliability? How do we measure it? Simply put, reliability refers to the consistency of a measure. A test is considered reliable if we get the same result repeatedly.
When determining the merits of a psychological test, validity is one of the most important factors to consider. What exactly is validity? One of the greatest concerns when creating a psychological test is whether or not it actually measures what we think it is measuring.
For example, a test might be designed to measure a stable personality trait but instead measures transitory emotions generated by situational or environmental conditions. A valid test ensures that the results accurately reflect the dimension undergoing assessment.
Review some of the key terms that you should know and understand about psychology research methods. Spend some time studying these terms and definitions before your exam. Some key terms that you should know include:
- Correlation
- Demand characteristic
- Dependent variable
- Hawthorne effect
- Independent variable
- Naturalistic observation
- Placebo effect
- Random assignment
- Replication
- Selective attrition
Erol A. How to conduct scientific research ? Noro Psikiyatr Ars . 2017;54(2):97-98. doi:10.5152/npa.2017.0120102
Aggarwal R, Ranganathan P. Study designs: Part 2 - Descriptive studies . Perspect Clin Res . 2019;10(1):34-36. doi:10.4103/picr.PICR_154_18
Curtis EA, Comiskey C, Dempsey O. Importance and use of correlational research . Nurse Res . 2016;23(6):20-25. doi:10.7748/nr.2016.e1382
Wang X, Cheng Z. Cross-sectional studies: Strengths, weaknesses, and recommendations . Chest . 2020;158(1S):S65-S71. doi:10.1016/j.chest.2020.03.012
Caruana EJ, Roman M, Hernández-Sánchez J, Solli P. Longitudinal studies . J Thorac Dis . 2015;7(11):E537-E540. doi:10.3978/j.issn.2072-1439.2015.10.63
Stanford Magazine. The vexing legacy of Lewis Terman .
By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."
2.3 Generating Good Research Questions
Learning objectives.
- Describe some techniques for turning research ideas into empirical research questions and use those techniques to generate questions.
- Explain what makes a research question interesting and evaluate research questions in terms of their interestingness.
Generating Empirically Testable Research Questions
Once you have a research idea, you need to use it to generate one or more empirically testable research questions, that is, questions expressed in terms of a single variable or relationship between variables. One way to do this is to look closely at the discussion section in a recent research article on the topic. This is the last major section of the article, in which the researchers summarize their results, interpret them in the context of past research, and suggest directions for future research. These suggestions often take the form of specific research questions, which you can then try to answer with additional research. This can be a good strategy because it is likely that the suggested questions have already been identified as interesting and important by experienced researchers.
But you may also want to generate your own research questions. How can you do this? First, if you have a particular behavior or psychological characteristic in mind, you can simply conceptualize it as a variable and ask how frequent or intense it is. How many words on average do people speak per day? How accurate are our memories of traumatic events? What percentage of people have sought professional help for depression? If the question has never been studied scientifically—which is something that you will learn in your literature review—then it might be interesting and worth pursuing.
If scientific research has already answered the question of how frequent or intense the behavior or characteristic is, then you should consider turning it into a question about a relationship between that behavior or characteristic and some other variable. One way to do this is to ask yourself the following series of more general questions and write down all the answers you can think of.
- What are some possible causes of the behavior or characteristic?
- What are some possible effects of the behavior or characteristic?
- What types of people might exhibit more or less of the behavior or characteristic?
- What types of situations might elicit more or less of the behavior or characteristic?
In general, each answer you write down can be conceptualized as a second variable, suggesting a question about a relationship. If you were interested in talkativeness, for example, it might occur to you that a possible cause of this psychological characteristic is family size. Is there a relationship between family size and talkativeness? Or it might occur to you that people seem to be more talkative in same-sex groups than mixed-sex groups. Is there a difference in the average level of talkativeness of people in same-sex groups and people in mixed-sex groups? This approach should allow you to generate many different empirically testable questions about almost any behavior or psychological characteristic.
If through this process you generate a question that has never been studied scientifically—which again is something that you will learn in your literature review—then it might be interesting and worth pursuing. But what if you find that it has been studied scientifically? Although novice researchers often want to give up and move on to a new question at this point, this is not necessarily a good strategy. For one thing, the fact that the question has been studied scientifically and the research published suggests that it is of interest to the scientific community. For another, the question can almost certainly be refined so that its answer will still contribute something new to the research literature. Again, asking yourself a series of more general questions about the relationship is a good strategy.
- Are there other ways to define and measure the variables?
- Are there types of people for whom the relationship might be stronger or weaker?
- Are there situations in which the relationship might be stronger or weaker—including situations with practical importance?
For example, research has shown that women and men speak about the same number of words per day—but this was when talkativeness was measured in terms of the number of words spoken per day among university students in the United States and Mexico. We can still ask whether other ways of measuring talkativeness—perhaps the number of different people spoken to each day—produce the same result. Or we can ask whether studying elderly people or people from other cultures produces the same result. Again, this approach should help you generate many different research questions about almost any relationship.
Evaluating Research Questions
Researchers usually generate many more research questions than they ever attempt to answer. This means they must have some way of evaluating the research questions they generate so that they can choose which ones to pursue. In this section, we consider two criteria for evaluating research questions: the interestingness of the question and the feasibility of answering it.
Interestingness
How often do people tie their shoes? Do people feel pain when you punch them in the jaw? Are women more likely to wear makeup than men? Do people prefer vanilla or chocolate ice cream? Although it would be a fairly simple matter to design a study and collect data to answer these questions, you probably would not want to because they are not interesting. We are not talking here about whether a research question is interesting to us personally but whether it is interesting to people more generally and, especially, to the scientific community. But what makes a research question interesting in this sense? Here we look at three factors that affect the interestingness of a research question: the answer is in doubt, the answer fills a gap in the research literature, and the answer has important practical implications.
First, a research question is interesting to the extent that its answer is in doubt. Obviously, questions that have been answered by scientific research are no longer interesting as the subject of new empirical research. But the fact that a question has not been answered by scientific research does not necessarily make it interesting. There has to be some reasonable chance that the answer to the question will be something that we did not already know. But how can you assess this before actually collecting data? One approach is to try to think of reasons to expect different answers to the question—especially ones that seem to conflict with common sense. If you can think of reasons to expect at least two different answers, then the question might be interesting. If you can think of reasons to expect only one answer, then it probably is not. The question of whether women are more talkative than men is interesting because there are reasons to expect both answers. The existence of the stereotype itself suggests the answer could be yes, but the fact that women’s and men’s verbal abilities are fairly similar suggests the answer could be no. The question of whether people feel pain when you punch them in the jaw is not interesting because there is absolutely no reason to think that the answer could be anything other than a resounding yes.
A second important factor to consider when deciding if a research question is interesting is whether answering it will fill a gap in the research literature. Again, this means in part that the question has not already been answered by scientific research. But it also means that the question is in some sense a natural one for people who are familiar with the research literature. For example, the question of whether taking lecture notes by hand can help improve students’ exam performance would be likely to occur to anyone who was familiar with research on note taking and the ineffectiveness of shallow processing on learning.
A final factor to consider when deciding whether a research question is interesting is whether its answer has important practical implications. Again, the question of whether taking notes by hand improves learning has important implications for education, including classroom policies concerning technology use. The question of whether cell phone use impairs driving is interesting because it is relevant to the personal safety of everyone who travels by car and to the debate over whether cell phone use should be restricted by law.
Feasibility
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that they do not waste time and effort pursuing research that they cannot complete successfully.
Looking through a sample of professional journals in psychology will reveal many studies that are complicated and difficult to carry out. These include longitudinal designs in which participants are tracked over many years, neuroimaging studies in which participants’ brain activity is measured while they carry out various mental tasks, and complex non-experimental studies involving several variables and complicated statistical analyses. Keep in mind, though, that such research tends to be carried out by teams of highly trained researchers whose work is often supported in part by government and private grants. Also, keep in mind that research does not have to be complicated or difficult to produce interesting and important results. Looking through a sample of professional journals will also reveal studies that are relatively simple and easy to carry out—perhaps involving a convenience sample of university students and a paper-and-pencil task.
A final point here is that it is generally good practice to use methods that have already been used successfully by other researchers. For example, if you want to manipulate people’s moods to make some of them happy, it would be a good idea to use one of the many approaches that have been used successfully by other researchers (e.g., paying them a compliment). This is good not only for the sake of feasibility—the approach is “tried and true”—but also because it provides greater continuity with previous research. This makes it easier to compare your results with those of other researchers and to understand the implications of their research for yours, and vice versa.
Key Takeaways
- Research questions expressed in terms of variables and relationships between variables can be suggested by other researchers or generated by asking a series of more general questions about the behavior or psychological characteristic of interest.
- It is important to evaluate how interesting a research question is before designing a study and collecting data to answer it. Factors that affect interestingness are the extent to which the answer is in doubt, whether it fills a gap in the research literature, and whether it has important practical implications.
- It is also important to evaluate how feasible a research question will be to answer. Factors that affect feasibility include time, money, technical knowledge and skill, and access to special equipment and research participants.
- Practice: Generate three research ideas based on each of the following: informal observations, practical problems, and topics discussed in recent issues of professional journals.
- Practice: Generate an empirical research question about each of the following behaviors or psychological characteristics: long-distance running, getting tattooed, social anxiety, bullying, and memory for early childhood events.
- Practice: Evaluate each of the research questions you generated in Exercise 2 in terms of its interestingness based on the criteria discussed in this section.
- Practice: Find an issue of a journal that publishes short empirical research reports (e.g., Psychological Science , Psychonomic Bulletin and Review , Personality and Social Psychology Bulletin ). Pick three studies, and rate each one in terms of how feasible it would be for you to replicate it with the resources available to you right now. Use the following rating scale: (1) You could replicate it essentially as reported. (2) You could replicate it with some simplifications. (3) You could not replicate it. Explain each rating.
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61 intriguing psychology research topics to explore
Last updated
11 January 2024
Reviewed by
Brittany Ferri, PhD, OTR/L
Short on time? Get an AI generated summary of this article instead
Psychology is an incredibly diverse, critical, and ever-changing area of study in the medical and health industries. Because of this, it’s a common area of study for students and healthcare professionals.
We’re walking you through picking the perfect topic for your upcoming paper or study. Keep reading for plenty of example topics to pique your interest and curiosity.
- How to choose a psychology research topic
Exploring a psychology-based topic for your research project? You need to pick a specific area of interest to collect compelling data.
Use these tips to help you narrow down which psychology topics to research:
Focus on a particular area of psychology
The most effective psychological research focuses on a smaller, niche concept or disorder within the scope of a study.
Psychology is a broad and fascinating area of science, including everything from diagnosed mental health disorders to sports performance mindset assessments.
This gives you plenty of different avenues to explore. Having a hard time choosing? Check out our list of 61 ideas further down in this article to get started.
Read the latest clinical studies
Once you’ve picked a more niche topic to explore, you need to do your due diligence and explore other research projects on the same topic.
This practice will help you learn more about your chosen topic, ask more specific questions, and avoid covering existing projects.
For the best results, we recommend creating a research folder of associated published papers to reference throughout your project. This makes it much easier to cite direct references and find inspiration down the line.
Find a topic you enjoy and ask questions
Once you’ve spent time researching and collecting references for your study, you finally get to explore.
Whether this research project is for work, school, or just for fun, having a passion for your research will make the project much more enjoyable. (Trust us, there will be times when that is the only thing that keeps you going.)
Now you’ve decided on the topic, ask more nuanced questions you might want to explore.
If you can, pick the direction that interests you the most to make the research process much more enjoyable.
- 61 psychology topics to research in 2024
Need some extra help starting your psychology research project on the right foot? Explore our list of 61 cutting-edge, in-demand psychology research topics to use as a starting point for your research journey.
- Psychology research topics for university students
As a university student, it can be hard to pick a research topic that fits the scope of your classes and is still compelling and unique.
Here are a few exciting topics we recommend exploring for your next assigned research project:
Mental health in post-secondary students
Seeking post-secondary education is a stressful and overwhelming experience for most students, making this topic a great choice to explore for your in-class research paper.
Examples of post-secondary mental health research topics include:
Student mental health status during exam season
Mental health disorder prevalence based on study major
The impact of chronic school stress on overall quality of life
The impacts of cyberbullying
Cyberbullying can occur at all ages, starting as early as elementary school and carrying through into professional workplaces.
Examples of cyberbullying-based research topics you can study include:
The impact of cyberbullying on self-esteem
Common reasons people engage in cyberbullying
Cyberbullying themes and commonly used terms
Cyberbullying habits in children vs. adults
The long-term effects of cyberbullying
- Clinical psychology research topics
If you’re looking to take a more clinical approach to your next project, here are a few topics that involve direct patient assessment for you to consider:
Chronic pain and mental health
Living with chronic pain dramatically impacts every aspect of a person’s life, including their mental and emotional health.
Here are a few examples of in-demand pain-related psychology research topics:
The connection between diabetic neuropathy and depression
Neurological pain and its connection to mental health disorders
Efficacy of meditation and mindfulness for pain management
The long-term effects of insomnia
Insomnia is where you have difficulty falling or staying asleep. It’s a common health concern that impacts millions of people worldwide.
This is an excellent topic because insomnia can have a variety of causes, offering many research possibilities.
Here are a few compelling psychology research topics about insomnia you could investigate:
The prevalence of insomnia based on age, gender, and ethnicity
Insomnia and its impact on workplace productivity
The connection between insomnia and mental health disorders
Efficacy and use of melatonin supplements for insomnia
The risks and benefits of prescription insomnia medications
Lifestyle options for managing insomnia symptoms
The efficacy of mental health treatment options
Management and treatment of mental health conditions is an ever-changing area of study. If you can witness or participate in mental health therapies, this can make a great research project.
Examples of mental health treatment-related psychology research topics include:
The efficacy of cognitive behavioral therapy (CBT) for patients with severe anxiety
The benefits and drawbacks of group vs. individual therapy sessions
Music therapy for mental health disorders
Electroconvulsive therapy (ECT) for patients with depression
- Controversial psychology research paper topics
If you are looking to explore a more cutting-edge or modern psychology topic, you can delve into a variety of controversial and topical options:
The impact of social media and digital platforms
Ever since access to internet forums and video games became more commonplace, there’s been growing concern about the impact these digital platforms have on mental health.
Examples of social media and video game-related psychology research topics include:
The effect of edited images on self-confidence
How social media platforms impact social behavior
Video games and their impact on teenage anger and violence
Digital communication and the rapid spread of misinformation
The development of digital friendships
Psychotropic medications for mental health
In recent years, the interest in using psychoactive medications to treat and manage health conditions has increased despite their inherently controversial nature.
Examples of psychotropic medication-related research topics include:
The risks and benefits of using psilocybin mushrooms for managing anxiety
The impact of marijuana on early-onset psychosis
Childhood marijuana use and related prevalence of mental health conditions
Ketamine and its use for complex PTSD (C-PTSD) symptom management
The effect of long-term psychedelic use and mental health conditions
- Mental health disorder research topics
As one of the most popular subsections of psychology, studying mental health disorders and how they impact quality of life is an essential and impactful area of research.
While studies in these areas are common, there’s always room for additional exploration, including the following hot-button topics:
Anxiety and depression disorders
Anxiety and depression are well-known and heavily researched mental health disorders.
Despite this, we still don’t know many things about these conditions, making them great candidates for psychology research projects:
Social anxiety and its connection to chronic loneliness
C-PTSD symptoms and causes
The development of phobias
Obsessive-compulsive disorder (OCD) behaviors and symptoms
Depression triggers and causes
Self-care tools and resources for depression
The prevalence of anxiety and depression in particular age groups or geographic areas
Bipolar disorder
Bipolar disorder is a complex and multi-faceted area of psychology research.
Use your research skills to learn more about this condition and its impact by choosing any of the following topics:
Early signs of bipolar disorder
The incidence of bipolar disorder in young adults
The efficacy of existing bipolar treatment options
Bipolar medication side effects
Cognitive behavioral therapy for people with bipolar
Schizoaffective disorder
Schizoaffective disorder is often stigmatized, and less common mental health disorders are a hotbed for new and exciting research.
Here are a few examples of interesting research topics related to this mental health disorder:
The prevalence of schizoaffective disorder by certain age groups or geographic locations
Risk factors for developing schizoaffective disorder
The prevalence and content of auditory and visual hallucinations
Alternative therapies for schizoaffective disorder
- Societal and systematic psychology research topics
Modern society’s impact is deeply enmeshed in our mental and emotional health on a personal and community level.
Here are a few examples of societal and systemic psychology research topics to explore in more detail:
Access to mental health services
While mental health awareness has risen over the past few decades, access to quality mental health treatment and resources is still not equitable.
This can significantly impact the severity of a person’s mental health symptoms, which can result in worse health outcomes if left untreated.
Explore this crucial issue and provide information about the need for improved mental health resource access by studying any of the following topics:
Rural vs. urban access to mental health resources
Access to crisis lines by location
Wait times for emergency mental health services
Inequities in mental health access based on income and location
Insurance coverage for mental health services
Systemic racism and mental health
Societal systems and the prevalence of systemic racism heavily impact every aspect of a person’s overall health.
Researching these topics draws attention to existing problems and contributes valuable insights into ways to improve access to care moving forward.
Examples of systemic racism-related psychology research topics include:
Access to mental health resources based on race
The prevalence of BIPOC mental health therapists in a chosen area
The impact of systemic racism on mental health and self-worth
Racism training for mental health workers
The prevalence of mental health disorders in discriminated groups
LGBTQIA+ mental health concerns
Research about LGBTQIA+ people and their mental health needs is a unique area of study to explore for your next research project. It’s a commonly overlooked and underserved community.
Examples of LGBTQIA+ psychology research topics to consider include:
Mental health supports for queer teens and children
The impact of queer safe spaces on mental health
The prevalence of mental health disorders in the LGBTQIA+ community
The benefits of queer mentorship and found family
Substance misuse in LQBTQIA+ youth and adults
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Strong Research Questions
A strong research question covers a well-defined and well-studied area of research. Strong research topics/questions are:
- clear and simple
- consistent with assignment requirements
- of interest to you
Developing Your Research Question
A broad topic has literally thousands of articles on it, and you won't be able to adequately cover it in your literature review. It will be far easier for you to research and write your literature review if you develop a strong, focused research question:
Do some exploratory research on your topic idea, in your course textbook, class notes, and PsycINFO to identify specific issues, arguments, and analytical approaches in your research area and then identify possible relationships between them.
Ask yourself questions about your topic idea. What concepts, issues, or other aspects of this topic interest you? What have people said about it? What gaps, contradictions, or concerns arise as you learn more about it? What relationships are there between different aspects of the topic?
Focus your topic: Use the information from your exploratory research to identify a few of the specific aspects that interest you and then use the questions you had about those to create your research question.
Choose a current topic: Your goal is to summarize and evaluate current findings of an area of research. Pick a research topic about which articles are continuing to be published. Avoid defunct or little-known areas of research.
Write about what interests you: Professors want students to write about topics that they care about. If you're interested in the topic, it will be more fun for you to write your paper and probably more fun for your professor to read it, too.
Ask Dr. Clark-Foos for feedback on your research question.
General topic: eyewitness memory
Do some preliminary research: I search for eyewitness memory in my course textbook to see what issues around eyewitness memory interest me
Ask yourself questions about your topic to focus it : I write down specific issues about eyewitness memory that interest me, i.e. accuracy of eyewitness memory; specific factors that affect eyewitness memory, like suggestibility, age, timing
Choose a current topic : A current hot topic around eyewitness memory seems to be around mistakes with eyewitness identification and how they relate to age, race, gender
Write about what interests you: After reading my course textbook and and identifying different aspects of eyewitness memory, I decide I'm most interested in how racial stereotyping causes mistakes in eyewitness identification
Research Question : What causes eyewitnesses to make mistakes in cross-race identification?
Picking Your Topic IS Research
Once you've picked a research topic for your paper, it isn't set in stone. It's just an idea that you will test and develop through exploratory research. This exploratory research may guide you into modifying your original idea for a research topic. Watch this video for more info:
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Research Question Examples 🧑🏻🏫
25+ Practical Examples & Ideas To Help You Get Started
By: Derek Jansen (MBA) | October 2023
A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights. But, if you’re new to research, it’s not always clear what exactly constitutes a good research question. In this post, we’ll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!
Research Question Examples
- Psychology research questions
- Business research questions
- Education research questions
- Healthcare research questions
- Computer science research questions
Examples: Psychology
Let’s start by looking at some examples of research questions that you might encounter within the discipline of psychology.
How does sleep quality affect academic performance in university students?
This question is specific to a population (university students) and looks at a direct relationship between sleep and academic performance, both of which are quantifiable and measurable variables.
What factors contribute to the onset of anxiety disorders in adolescents?
The question narrows down the age group and focuses on identifying multiple contributing factors. There are various ways in which it could be approached from a methodological standpoint, including both qualitatively and quantitatively.
Do mindfulness techniques improve emotional well-being?
This is a focused research question aiming to evaluate the effectiveness of a specific intervention.
How does early childhood trauma impact adult relationships?
This research question targets a clear cause-and-effect relationship over a long timescale, making it focused but comprehensive.
Is there a correlation between screen time and depression in teenagers?
This research question focuses on an in-demand current issue and a specific demographic, allowing for a focused investigation. The key variables are clearly stated within the question and can be measured and analysed (i.e., high feasibility).
Examples: Business/Management
Next, let’s look at some examples of well-articulated research questions within the business and management realm.
How do leadership styles impact employee retention?
This is an example of a strong research question because it directly looks at the effect of one variable (leadership styles) on another (employee retention), allowing from a strongly aligned methodological approach.
What role does corporate social responsibility play in consumer choice?
Current and precise, this research question can reveal how social concerns are influencing buying behaviour by way of a qualitative exploration.
Does remote work increase or decrease productivity in tech companies?
Focused on a particular industry and a hot topic, this research question could yield timely, actionable insights that would have high practical value in the real world.
How do economic downturns affect small businesses in the homebuilding industry?
Vital for policy-making, this highly specific research question aims to uncover the challenges faced by small businesses within a certain industry.
Which employee benefits have the greatest impact on job satisfaction?
By being straightforward and specific, answering this research question could provide tangible insights to employers.
Examples: Education
Next, let’s look at some potential research questions within the education, training and development domain.
How does class size affect students’ academic performance in primary schools?
This example research question targets two clearly defined variables, which can be measured and analysed relatively easily.
Do online courses result in better retention of material than traditional courses?
Timely, specific and focused, answering this research question can help inform educational policy and personal choices about learning formats.
What impact do US public school lunches have on student health?
Targeting a specific, well-defined context, the research could lead to direct changes in public health policies.
To what degree does parental involvement improve academic outcomes in secondary education in the Midwest?
This research question focuses on a specific context (secondary education in the Midwest) and has clearly defined constructs.
What are the negative effects of standardised tests on student learning within Oklahoma primary schools?
This research question has a clear focus (negative outcomes) and is narrowed into a very specific context.
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Examples: Healthcare
Shifting to a different field, let’s look at some examples of research questions within the healthcare space.
What are the most effective treatments for chronic back pain amongst UK senior males?
Specific and solution-oriented, this research question focuses on clear variables and a well-defined context (senior males within the UK).
How do different healthcare policies affect patient satisfaction in public hospitals in South Africa?
This question is has clearly defined variables and is narrowly focused in terms of context.
Which factors contribute to obesity rates in urban areas within California?
This question is focused yet broad, aiming to reveal several contributing factors for targeted interventions.
Does telemedicine provide the same perceived quality of care as in-person visits for diabetes patients?
Ideal for a qualitative study, this research question explores a single construct (perceived quality of care) within a well-defined sample (diabetes patients).
Which lifestyle factors have the greatest affect on the risk of heart disease?
This research question aims to uncover modifiable factors, offering preventive health recommendations.
Examples: Computer Science
Last but certainly not least, let’s look at a few examples of research questions within the computer science world.
What are the perceived risks of cloud-based storage systems?
Highly relevant in our digital age, this research question would align well with a qualitative interview approach to better understand what users feel the key risks of cloud storage are.
Which factors affect the energy efficiency of data centres in Ohio?
With a clear focus, this research question lays a firm foundation for a quantitative study.
How do TikTok algorithms impact user behaviour amongst new graduates?
While this research question is more open-ended, it could form the basis for a qualitative investigation.
What are the perceived risk and benefits of open-source software software within the web design industry?
Practical and straightforward, the results could guide both developers and end-users in their choices.
Remember, these are just examples…
In this post, we’ve tried to provide a wide range of research question examples to help you get a feel for what research questions look like in practice. That said, it’s important to remember that these are just examples and don’t necessarily equate to good research topics . If you’re still trying to find a topic, check out our topic megalist for inspiration.
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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...
Research ideas on Political Science
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Psychology: Developing Topics & Research Questions
- About this Guide
- What Are Databases?
- About & Finding Databases
- Developing Topics & Research Questions
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Developing a Research Question Takes Research
When the scope of your paper is too big, it's hard to dig through information and to write a paper wit any depth. The goal of most research papers in college is to seek a possible answer to a particular questions related to a topic. A research question, when not too broad or too narrow, helps guide and focus your paper.
The question should also be one in which you haven't decided on a pre-determined answer. You may find that looking for sources that provide a certain answer may be too limiting. The answer you are expecting might not be supported by evidence.
Brainstorm & do some pre-research
The research question isn't a question you make up at the top of your head. It's normal to start with a broad topic in mind. After doing some brainstorming about a topic, you will need to do some reading to find an angle to pursue, and, even then, your question may change as you find more information later.
Ask questions
From your pre-research, think about questions you might be able to ask regarding the topic. Most scholarly research examines fairly narrow topics and looks at relationships between concepts. One way to limit the scope of your topic is to ask who, what, where, when, why, and how questions.
Be flexible
It's okay to continue to tweak your question; the end result should be that you have answered the question you've laid out in the introduction, even if the introduction is the last paragraph you actually end up revising in your final paper.
Picking Your Topic IS Research
North Carolina State University (NCSU) Libraries, 3:10
OER Book Chapters
- The Qualities of a Good Research Question from LibreTexts
- Research Questions from Choosing & Using Sources: A Guide to Academic Research, Teaching & Learning, Ohio State University Libraries
Research is a Process
Anna Eisen (2:35)
Encourages students to develop background knowledge to create a research question. Research questions should have topic, question and significance. The narrator suggests using the following formulation: I’m studying _______________ to investigate ______________ in order to understand. Complex research questions take time to create.
Keeping your research question in mind, if you can answer TRUE to the statements below, your research question is probably workable.
- It cannot simply be answered with a yes/no.
- It has social significance/a problem associated with it.
- There is reliable evidence available to address it.
- It has appropriate scope.
Be careful about investigating questions that you think you already have the answer to.
Choosing a Manageable Research Topic
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Research Methods In Psychology
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.
Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes. They include experiments, surveys, case studies, and naturalistic observations, ensuring data collection is objective and reliable to understand and explain psychological phenomena.
Hypotheses are statements about the prediction of the results, that can be verified or disproved by some investigation.
There are four types of hypotheses :
- Null Hypotheses (H0 ) – these predict that no difference will be found in the results between the conditions. Typically these are written ‘There will be no difference…’
- Alternative Hypotheses (Ha or H1) – these predict that there will be a significant difference in the results between the two conditions. This is also known as the experimental hypothesis.
- One-tailed (directional) hypotheses – these state the specific direction the researcher expects the results to move in, e.g. higher, lower, more, less. In a correlation study, the predicted direction of the correlation can be either positive or negative.
- Two-tailed (non-directional) hypotheses – these state that a difference will be found between the conditions of the independent variable but does not state the direction of a difference or relationship. Typically these are always written ‘There will be a difference ….’
All research has an alternative hypothesis (either a one-tailed or two-tailed) and a corresponding null hypothesis.
Once the research is conducted and results are found, psychologists must accept one hypothesis and reject the other.
So, if a difference is found, the Psychologist would accept the alternative hypothesis and reject the null. The opposite applies if no difference is found.
Sampling techniques
Sampling is the process of selecting a representative group from the population under study.
A sample is the participants you select from a target population (the group you are interested in) to make generalizations about.
Representative means the extent to which a sample mirrors a researcher’s target population and reflects its characteristics.
Generalisability means the extent to which their findings can be applied to the larger population of which their sample was a part.
- Volunteer sample : where participants pick themselves through newspaper adverts, noticeboards or online.
- Opportunity sampling : also known as convenience sampling , uses people who are available at the time the study is carried out and willing to take part. It is based on convenience.
- Random sampling : when every person in the target population has an equal chance of being selected. An example of random sampling would be picking names out of a hat.
- Systematic sampling : when a system is used to select participants. Picking every Nth person from all possible participants. N = the number of people in the research population / the number of people needed for the sample.
- Stratified sampling : when you identify the subgroups and select participants in proportion to their occurrences.
- Snowball sampling : when researchers find a few participants, and then ask them to find participants themselves and so on.
- Quota sampling : when researchers will be told to ensure the sample fits certain quotas, for example they might be told to find 90 participants, with 30 of them being unemployed.
Experiments always have an independent and dependent variable .
- The independent variable is the one the experimenter manipulates (the thing that changes between the conditions the participants are placed into). It is assumed to have a direct effect on the dependent variable.
- The dependent variable is the thing being measured, or the results of the experiment.
Operationalization of variables means making them measurable/quantifiable. We must use operationalization to ensure that variables are in a form that can be easily tested.
For instance, we can’t really measure ‘happiness’, but we can measure how many times a person smiles within a two-hour period.
By operationalizing variables, we make it easy for someone else to replicate our research. Remember, this is important because we can check if our findings are reliable.
Extraneous variables are all variables which are not independent variable but could affect the results of the experiment.
It can be a natural characteristic of the participant, such as intelligence levels, gender, or age for example, or it could be a situational feature of the environment such as lighting or noise.
Demand characteristics are a type of extraneous variable that occurs if the participants work out the aims of the research study, they may begin to behave in a certain way.
For example, in Milgram’s research , critics argued that participants worked out that the shocks were not real and they administered them as they thought this was what was required of them.
Extraneous variables must be controlled so that they do not affect (confound) the results.
Randomly allocating participants to their conditions or using a matched pairs experimental design can help to reduce participant variables.
Situational variables are controlled by using standardized procedures, ensuring every participant in a given condition is treated in the same way
Experimental Design
Experimental design refers to how participants are allocated to each condition of the independent variable, such as a control or experimental group.
- Independent design ( between-groups design ): each participant is selected for only one group. With the independent design, the most common way of deciding which participants go into which group is by means of randomization.
- Matched participants design : each participant is selected for only one group, but the participants in the two groups are matched for some relevant factor or factors (e.g. ability; sex; age).
- Repeated measures design ( within groups) : each participant appears in both groups, so that there are exactly the same participants in each group.
- The main problem with the repeated measures design is that there may well be order effects. Their experiences during the experiment may change the participants in various ways.
- They may perform better when they appear in the second group because they have gained useful information about the experiment or about the task. On the other hand, they may perform less well on the second occasion because of tiredness or boredom.
- Counterbalancing is the best way of preventing order effects from disrupting the findings of an experiment, and involves ensuring that each condition is equally likely to be used first and second by the participants.
If we wish to compare two groups with respect to a given independent variable, it is essential to make sure that the two groups do not differ in any other important way.
Experimental Methods
All experimental methods involve an iv (independent variable) and dv (dependent variable)..
The researcher decides where the experiment will take place, at what time, with which participants, in what circumstances, using a standardized procedure.
- Field experiments are conducted in the everyday (natural) environment of the participants. The experimenter still manipulates the IV, but in a real-life setting. It may be possible to control extraneous variables, though such control is more difficult than in a lab experiment.
- Natural experiments are when a naturally occurring IV is investigated that isn’t deliberately manipulated, it exists anyway. Participants are not randomly allocated, and the natural event may only occur rarely.
Case studies are in-depth investigations of a person, group, event, or community. It uses information from a range of sources, such as from the person concerned and also from their family and friends.
Many techniques may be used such as interviews, psychological tests, observations and experiments. Case studies are generally longitudinal: in other words, they follow the individual or group over an extended period of time.
Case studies are widely used in psychology and among the best-known ones carried out were by Sigmund Freud . He conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.
Case studies provide rich qualitative data and have high levels of ecological validity. However, it is difficult to generalize from individual cases as each one has unique characteristics.
Correlational Studies
Correlation means association; it is a measure of the extent to which two variables are related. One of the variables can be regarded as the predictor variable with the other one as the outcome variable.
Correlational studies typically involve obtaining two different measures from a group of participants, and then assessing the degree of association between the measures.
The predictor variable can be seen as occurring before the outcome variable in some sense. It is called the predictor variable, because it forms the basis for predicting the value of the outcome variable.
Relationships between variables can be displayed on a graph or as a numerical score called a correlation coefficient.
- If an increase in one variable tends to be associated with an increase in the other, then this is known as a positive correlation .
- If an increase in one variable tends to be associated with a decrease in the other, then this is known as a negative correlation .
- A zero correlation occurs when there is no relationship between variables.
After looking at the scattergraph, if we want to be sure that a significant relationship does exist between the two variables, a statistical test of correlation can be conducted, such as Spearman’s rho.
The test will give us a score, called a correlation coefficient . This is a value between 0 and 1, and the closer to 1 the score is, the stronger the relationship between the variables. This value can be both positive e.g. 0.63, or negative -0.63.
A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. A correlation only shows if there is a relationship between variables.
Correlation does not always prove causation, as a third variable may be involved.
Interview Methods
Interviews are commonly divided into two types: structured and unstructured.
A fixed, predetermined set of questions is put to every participant in the same order and in the same way.
Responses are recorded on a questionnaire, and the researcher presets the order and wording of questions, and sometimes the range of alternative answers.
The interviewer stays within their role and maintains social distance from the interviewee.
There are no set questions, and the participant can raise whatever topics he/she feels are relevant and ask them in their own way. Questions are posed about participants’ answers to the subject
Unstructured interviews are most useful in qualitative research to analyze attitudes and values.
Though they rarely provide a valid basis for generalization, their main advantage is that they enable the researcher to probe social actors’ subjective point of view.
Questionnaire Method
Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, or post.
The choice of questions is important because of the need to avoid bias or ambiguity in the questions, ‘leading’ the respondent or causing offense.
- Open questions are designed to encourage a full, meaningful answer using the subject’s own knowledge and feelings. They provide insights into feelings, opinions, and understanding. Example: “How do you feel about that situation?”
- Closed questions can be answered with a simple “yes” or “no” or specific information, limiting the depth of response. They are useful for gathering specific facts or confirming details. Example: “Do you feel anxious in crowds?”
Its other practical advantages are that it is cheaper than face-to-face interviews and can be used to contact many respondents scattered over a wide area relatively quickly.
Observations
There are different types of observation methods :
- Covert observation is where the researcher doesn’t tell the participants they are being observed until after the study is complete. There could be ethical problems or deception and consent with this particular observation method.
- Overt observation is where a researcher tells the participants they are being observed and what they are being observed for.
- Controlled : behavior is observed under controlled laboratory conditions (e.g., Bandura’s Bobo doll study).
- Natural : Here, spontaneous behavior is recorded in a natural setting.
- Participant : Here, the observer has direct contact with the group of people they are observing. The researcher becomes a member of the group they are researching.
- Non-participant (aka “fly on the wall): The researcher does not have direct contact with the people being observed. The observation of participants’ behavior is from a distance
Pilot Study
A pilot study is a small scale preliminary study conducted in order to evaluate the feasibility of the key s teps in a future, full-scale project.
A pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them. It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.
A pilot study can help the researcher spot any ambiguities (i.e. unusual things) or confusion in the information given to participants or problems with the task devised.
Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task – all performances are low.
The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.
Research Design
In cross-sectional research , a researcher compares multiple segments of the population at the same time
Sometimes, we want to see how people change over time, as in studies of human development and lifespan. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time.
In cohort studies , the participants must share a common factor or characteristic such as age, demographic, or occupation. A cohort study is a type of longitudinal study in which researchers monitor and observe a chosen population over an extended period.
Triangulation means using more than one research method to improve the study’s validity.
Reliability
Reliability is a measure of consistency, if a particular measurement is repeated and the same result is obtained then it is described as being reliable.
- Test-retest reliability : assessing the same person on two different occasions which shows the extent to which the test produces the same answers.
- Inter-observer reliability : the extent to which there is an agreement between two or more observers.
Meta-Analysis
Meta-analysis is a statistical procedure used to combine and synthesize findings from multiple independent studies to estimate the average effect size for a particular research question.
Meta-analysis goes beyond traditional narrative reviews by using statistical methods to integrate the results of several studies, leading to a more objective appraisal of the evidence.
This is done by looking through various databases, and then decisions are made about what studies are to be included/excluded.
- Strengths : Increases the conclusions’ validity as they’re based on a wider range.
- Weaknesses : Research designs in studies can vary, so they are not truly comparable.
Peer Review
A researcher submits an article to a journal. The choice of the journal may be determined by the journal’s audience or prestige.
The journal selects two or more appropriate experts (psychologists working in a similar field) to peer review the article without payment. The peer reviewers assess: the methods and designs used, originality of the findings, the validity of the original research findings and its content, structure and language.
Feedback from the reviewer determines whether the article is accepted. The article may be: Accepted as it is, accepted with revisions, sent back to the author to revise and re-submit or rejected without the possibility of submission.
The editor makes the final decision whether to accept or reject the research report based on the reviewers comments/ recommendations.
Peer review is important because it prevent faulty data from entering the public domain, it provides a way of checking the validity of findings and the quality of the methodology and is used to assess the research rating of university departments.
Peer reviews may be an ideal, whereas in practice there are lots of problems. For example, it slows publication down and may prevent unusual, new work being published. Some reviewers might use it as an opportunity to prevent competing researchers from publishing work.
Some people doubt whether peer review can really prevent the publication of fraudulent research.
The advent of the internet means that a lot of research and academic comment is being published without official peer reviews than before, though systems are evolving on the internet where everyone really has a chance to offer their opinions and police the quality of research.
Types of Data
- Quantitative data is numerical data e.g. reaction time or number of mistakes. It represents how much or how long, how many there are of something. A tally of behavioral categories and closed questions in a questionnaire collect quantitative data.
- Qualitative data is virtually any type of information that can be observed and recorded that is not numerical in nature and can be in the form of written or verbal communication. Open questions in questionnaires and accounts from observational studies collect qualitative data.
- Primary data is first-hand data collected for the purpose of the investigation.
- Secondary data is information that has been collected by someone other than the person who is conducting the research e.g. taken from journals, books or articles.
Validity means how well a piece of research actually measures what it sets out to, or how well it reflects the reality it claims to represent.
Validity is whether the observed effect is genuine and represents what is actually out there in the world.
- Concurrent validity is the extent to which a psychological measure relates to an existing similar measure and obtains close results. For example, a new intelligence test compared to an established test.
- Face validity : does the test measure what it’s supposed to measure ‘on the face of it’. This is done by ‘eyeballing’ the measuring or by passing it to an expert to check.
- Ecological validit y is the extent to which findings from a research study can be generalized to other settings / real life.
- Temporal validity is the extent to which findings from a research study can be generalized to other historical times.
Features of Science
- Paradigm – A set of shared assumptions and agreed methods within a scientific discipline.
- Paradigm shift – The result of the scientific revolution: a significant change in the dominant unifying theory within a scientific discipline.
- Objectivity – When all sources of personal bias are minimised so not to distort or influence the research process.
- Empirical method – Scientific approaches that are based on the gathering of evidence through direct observation and experience.
- Replicability – The extent to which scientific procedures and findings can be repeated by other researchers.
- Falsifiability – The principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue.
Statistical Testing
A significant result is one where there is a low probability that chance factors were responsible for any observed difference, correlation, or association in the variables tested.
If our test is significant, we can reject our null hypothesis and accept our alternative hypothesis.
If our test is not significant, we can accept our null hypothesis and reject our alternative hypothesis. A null hypothesis is a statement of no effect.
In Psychology, we use p < 0.05 (as it strikes a balance between making a type I and II error) but p < 0.01 is used in tests that could cause harm like introducing a new drug.
A type I error is when the null hypothesis is rejected when it should have been accepted (happens when a lenient significance level is used, an error of optimism).
A type II error is when the null hypothesis is accepted when it should have been rejected (happens when a stringent significance level is used, an error of pessimism).
Ethical Issues
- Informed consent is when participants are able to make an informed judgment about whether to take part. It causes them to guess the aims of the study and change their behavior.
- To deal with it, we can gain presumptive consent or ask them to formally indicate their agreement to participate but it may invalidate the purpose of the study and it is not guaranteed that the participants would understand.
- Deception should only be used when it is approved by an ethics committee, as it involves deliberately misleading or withholding information. Participants should be fully debriefed after the study but debriefing can’t turn the clock back.
- All participants should be informed at the beginning that they have the right to withdraw if they ever feel distressed or uncomfortable.
- It causes bias as the ones that stayed are obedient and some may not withdraw as they may have been given incentives or feel like they’re spoiling the study. Researchers can offer the right to withdraw data after participation.
- Participants should all have protection from harm . The researcher should avoid risks greater than those experienced in everyday life and they should stop the study if any harm is suspected. However, the harm may not be apparent at the time of the study.
- Confidentiality concerns the communication of personal information. The researchers should not record any names but use numbers or false names though it may not be possible as it is sometimes possible to work out who the researchers were.
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Overview of the Scientific Method
8 Finding a Research Topic
Learning objectives.
- Learn some common sources of research ideas.
- Define the research literature in psychology and give examples of sources that are part of the research literature and sources that are not.
- Describe and use several methods for finding previous research on a particular research idea or question.
Good research must begin with a good research question. Yet coming up with good research questions is something that novice researchers often find difficult and stressful. One reason is that this is a creative process that can appear mysterious—even magical—with experienced researchers seeming to pull interesting research questions out of thin air. However, psychological research on creativity has shown that it is neither as mysterious nor as magical as it appears. It is largely the product of ordinary thinking strategies and persistence (Weisberg, 1993) [1] . This section covers some fairly simple strategies for finding general research ideas, turning those ideas into empirically testable research questions, and finally evaluating those questions in terms of how interesting they are and how feasible they would be to answer.
Finding Inspiration
Research questions often begin as more general research ideas—usually focusing on some behavior or psychological characteristic: talkativeness, learning, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas come from in the first place. Three of the most common sources of inspiration are informal observations, practical problems, and previous research.
Informal observations include direct observations of our own and others’ behavior as well as secondhand observations from non-scientific sources such as newspapers, books, blogs, and so on. For example, you might notice that you always seem to be in the slowest moving line at the grocery store. Could it be that most people think the same thing? Or you might read in a local newspaper about people donating money and food to a local family whose house has burned down and begin to wonder about who makes such donations and why. Some of the most famous research in psychology has been inspired by informal observations. Stanley Milgram’s famous research on obedience to authority, for example, was inspired in part by journalistic reports of the trials of accused Nazi war criminals—many of whom claimed that they were only obeying orders. This led him to wonder about the extent to which ordinary people will commit immoral acts simply because they are ordered to do so by an authority figure (Milgram, 1963) [2] .
Practical problems can also inspire research ideas, leading directly to applied research in such domains as law, health, education, and sports. Does taking lecture notes by hand improve students’ exam performance? How effective is psychotherapy for depression compared to drug therapy? To what extent do cell phones impair people’s driving ability? How can we teach children to read more efficiently? What is the best mental preparation for running a marathon?
Probably the most common inspiration for new research ideas, however, is previous research. Recall that science is a kind of large-scale collaboration in which many different researchers read and evaluate each other’s work and conduct new studies to build on it. Of course, experienced researchers are familiar with previous research in their area of expertise and probably have a long list of ideas. This suggests that novice researchers can find inspiration by consulting with a more experienced researcher (e.g., students can consult a faculty member). But they can also find inspiration by picking up a copy of almost any professional journal and reading the titles and abstracts. In one typical issue of Psychological Science , for example, you can find articles on the perception of shapes, anti-Semitism, police lineups, the meaning of death, second-language learning, people who seek negative emotional experiences, and many other topics. If you can narrow your interests down to a particular topic (e.g., memory) or domain (e.g., health care), you can also look through more specific journals, such as Memory & Cognition or Health Psychology .
Reviewing the Research Literature
Once again, one of the most common sources of inspiration is previous research. Therefore, it is important to review the literature early in the research process. The research literature in any field is all the published research in that field. Reviewing the research literature means finding, reading, and summarizing the published research relevant to your topic of interest. In addition to helping you discover new research questions, reviewing the literature early in the research process can help you in several other ways.
- It can tell you if a research question has already been answered.
- It can help you evaluate the interestingness of a research question.
- It can give you ideas for how to conduct your own study.
- It can tell you how your study fits into the research literature.
The research literature in psychology is enormous—including millions of scholarly articles and books dating to the beginning of the field—and it continues to grow. Although its boundaries are somewhat fuzzy, the research literature definitely does not include self-help and other pop psychology books, dictionary and encyclopedia entries, websites, and similar sources that are intended mainly for the general public. These are considered unreliable because they are not reviewed by other researchers and are often based on little more than common sense or personal experience. Wikipedia contains much valuable information, but because its authors are anonymous and may not have any formal training or expertise in that subject area, and its content continually changes it is unsuitable as a basis of sound scientific research. For our purposes, it helps to define the research literature as consisting almost entirely of two types of sources: articles in professional journals, and scholarly books in psychology and related fields.
Professional Journals
Professional journals are periodicals that publish original research articles. There are thousands of professional journals that publish research in psychology and related fields. They are usually published monthly or quarterly in individual issues, each of which contains several articles. The issues are organized into volumes, which usually consist of all the issues for a calendar year. Some journals are published in hard copy only, others in both hard copy and electronic form, and still others in electronic form only.
Most articles in professional journals are one of two basic types: empirical research reports and review articles. Empirical research reports describe one or more new empirical studies conducted by the authors. They introduce a research question, explain why it is interesting, review previous research, describe their method and results, and draw their conclusions. Review articles summarize previously published research on a topic and usually present new ways to organize or explain the results. When a review article is devoted primarily to presenting a new theory, it is often referred to as a theoretical article . When a review article provides a statistical summary of all of the previous results it is referred to as a meta-analysis .
Most professional journals in psychology undergo a process of double-blind peer review . Researchers who want to publish their work in the journal submit a manuscript to the editor—who is generally an established researcher too—who in turn sends it to two or three experts on the topic. Each reviewer reads the manuscript, writes a critical but constructive review, and sends the review back to the editor along with recommendations about whether the manuscript should be published or not. The editor then decides whether to accept the article for publication, ask the authors to make changes and resubmit it for further consideration, or reject it outright. In any case, the editor forwards the reviewers’ written comments to the researchers so that they can revise their manuscript accordingly. This entire process is double-blind, as the reviewers do not know the identity of the researcher(s) and vice versa. Double-blind peer review is helpful because it ensures that the work meets basic standards of the field before it can enter the research literature. However, in order to increase transparency and accountability, some newer open access journals (e.g., Frontiers in Psychology ) utilize an open peer review process wherein the identities of the reviewers (which remain concealed during the peer review process) are published alongside the journal article.
Scholarly Books
Scholarly books are books written by researchers and practitioners mainly for use by other researchers and practitioners. A monograph is written by a single author or a small group of authors and usually, gives a coherent presentation of a topic much like an extended review article. Edited volumes have an editor or a small group of editors who recruit many authors to write separate chapters on different aspects of the same topic. Although edited volumes can also give a coherent presentation of the topic, it is not unusual for each chapter to take a different perspective or even for the authors of different chapters to openly disagree with each other. In general, scholarly books undergo a peer review process similar to that used by professional journals.
Literature Search Strategies
Using psycinfo and other databases.
The primary method used to search the research literature involves using one or more electronic databases. These include Academic Search Premier, JSTOR, and ProQuest for all academic disciplines, ERIC for education, and PubMed for medicine and related fields. The most important for our purposes, however, is PsycINFO, which is produced by the American Psychological Association (APA). PsycINFO is so comprehensive—covering thousands of professional journals and scholarly books going back more than 100 years—that for most purposes its content is synonymous with the research literature in psychology. Like most such databases, PsycINFO is usually available through your university library.
PsycINFO consists of individual records for each article, book chapter, or book in the database. Each record includes basic publication information, an abstract or summary of the work (like the one presented at the start of this chapter), and a list of other works cited by that work. A computer interface allows entering one or more search terms and returns any records that contain those search terms. (These interfaces are provided by different vendors and therefore can look somewhat different depending on the library you use.) Each record also contains lists of keywords that describe the content of the work and also a list of index terms. The index terms are especially helpful because they are standardized. Research on differences between females and males, for example, is always indexed under “Human Sex Differences.” Research on note-taking is always indexed under the term “Learning Strategies.” If you do not know the appropriate index terms, PsycINFO includes a thesaurus that can help you find them.
Given that there are nearly four million records in PsycINFO, you may have to try a variety of search terms in different combinations and at different levels of specificity before you find what you are looking for. Imagine, for example, that you are interested in the question of whether males and females differ in terms of their ability to recall experiences from when they were very young. If you were to enter the search term “memory,” it would return far too many records to look through individually. This is where the thesaurus helps. Entering “memory” into the thesaurus provides several more specific index terms—one of which is “early memories.” While searching for “early memories” among the index terms still returns too many to look through individually—combining it with “human sex differences” as a second search term returns fewer articles, many of which are highly relevant to the topic.
Depending on the vendor that provides the interface to PsycINFO, you may be able to save, print, or e-mail the relevant PsycINFO records. The records might even contain links to full-text copies of the works themselves. (PsycARTICLES is a database that provides full-text access to articles in all journals published by the APA.) If not, and you want a copy of the work, you will have to find out if your library carries the journal or has the book and the hard copy on the library shelves. Be sure to ask a librarian if you need help.
Using Other Search Techniques
In addition to entering search terms into PsycINFO and other databases, there are several other techniques you can use to search the research literature. First, if you have one good article or book chapter on your topic—a recent review article is best—you can look through the reference list of that article for other relevant articles, books, and book chapters. In fact, you should do this with any relevant article or book chapter you find. You can also start with a classic article or book chapter on your topic, find its record in PsycINFO (by entering the author’s name or article’s title as a search term), and link from there to a list of other works in PsycINFO that cite that classic article. This works because other researchers working on your topic are likely to be aware of the classic article and cite it in their own work. You can also do a general Internet search using search terms related to your topic or the name of a researcher who conducts research on your topic. This might lead you directly to works that are part of the research literature (e.g., articles in open-access journals or posted on researchers’ own websites). The search engine Google Scholar is especially useful for this purpose. A general Internet search might also lead you to websites that are not part of the research literature but might provide references to works that are. Finally, you can talk to people (e.g., your instructor or other faculty members in psychology) who know something about your topic and can suggest relevant articles and book chapters.
What to Search For
When you do a literature review, you need to be selective. Not every article, book chapter, and book that relates to your research idea or question will be worth obtaining, reading, and integrating into your review. Instead, you want to focus on sources that help you do four basic things: (a) refine your research question, (b) identify appropriate research methods, (c) place your research in the context of previous research, and (d) write an effective research report. Several basic principles can help you find the most useful sources.
First, it is best to focus on recent research, keeping in mind that what counts as recent depends on the topic. For newer topics that are actively being studied, “recent” might mean published in the past year or two. For older topics that are receiving less attention right now, “recent” might mean within the past 10 years. You will get a feel for what counts as recent for your topic when you start your literature search. A good general rule, however, is to start with sources published in the past five years. The main exception to this rule would be classic articles that turn up in the reference list of nearly every other source. If other researchers think that this work is important, even though it is old, then, by all means, you should include it in your review.
Second, you should look for review articles on your topic because they will provide a useful overview of it—often discussing important definitions, results, theories, trends, and controversies—giving you a good sense of where your own research fits into the literature. You should also look for empirical research reports addressing your question or similar questions, which can give you ideas about how to measure your variables and collect your data. As a general rule, it is good to use methods that others have already used successfully unless you have good reasons not to. Finally, you should look for sources that provide information that can help you argue for the interestingness of your research question. For a study on the effects of cell phone use on driving ability, for example, you might look for information about how widespread cell phone use is, how frequent and costly motor vehicle crashes are, and so on.
How many sources are enough for your literature review? This is a difficult question because it depends on how extensively your topic has been studied and also on your own goals. One study found that across a variety of professional journals in psychology, the average number of sources cited per article was about 50 (Adair & Vohra, 2003) [3] . This gives a rough idea of what professional researchers consider to be adequate. As a student, you might be assigned a much lower minimum number of references to include, but the principles for selecting the most useful ones remain the same.
Video Attributions
- “ How to Develop a Good Research Topic ” by KStateLibraries . CC BY (Attribution)
- “ Sample PsycINFO Search on EBSCOhost ” by APA Publishing Training . Standard YouTube Licence.
- “ Using Google Scholar (CLIP) ” by clipinfolit . CC BY (Attribution)
- Weisberg, R. W. (1993). Creativity: Beyond the myth of genius . New York, NY: Freeman. ↵
- Milgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67 , 371–378. ↵
- Adair, J. G., & Vohra, N. (2003). The explosion of knowledge, references, and citations: Psychology’s unique response to a crisis. American Psychologist, 58 , 15–23. ↵
All the published research in that field.
Are periodicals that publish original research articles.
Research reports that describe one or more new empirical studies conducted by the authors.
Articles that summarize previously published research on a topic and usually present new ways to organize or explain the results.
A review article that is devoted primarily to presenting a new theory.
A review article that provides a statistical summary of all of the previous results.
A process in which the reviewers of a research article do not know the identity of the researcher(s) and vice versa.
Books written by researchers and practitioners mainly for use by other researchers and practitioners.
A coherent written presentation of a topic much like an extended review article written by a single author or a small group of authors.
Books that are collections of chapters written by different authors on different aspects of the same topic, and overseen by one or more editors.
A comprehensive electronic database covering thousands of professional journals and scholarly books going back more than 100 years—that for most purposes its content is synonymous with the research literature in psychology.
Research Methods in Psychology Copyright © 2019 by Rajiv S. Jhangiani, I-Chant A. Chiang, Carrie Cuttler, & Dana C. Leighton is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.
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2 Chapter 2: Principles of Research
Principles of research, 2.1 basic concepts.
Before we address where research questions in psychology come from—and what makes them more or less interesting—it is important to understand the kinds of questions that researchers in psychology typically ask. This requires a quick introduction to several basic concepts, many of which we will return to in more detail later in the book.
Research questions in psychology are about variables. A variable is a quantity or quality that varies across people or situations. For example, the height of the students in a psychology class is a variable because it varies from student to student. The sex of the students is also a variable as long as there are both male and female students in the class. A quantitative variable is a quantity, such as height, that is typically measured by assigning a number to each individual. Other examples of quantitative variables include people’s level of talkativeness, how depressed they are, and the number of siblings they have. A categorical variable is a quality, such as sex, and is typically measured by assigning a category label to each individual. Other examples include people’s nationality, their occupation, and whether they are receiving psychotherapy.
“Lots of Candy Could Lead to Violence”
Although researchers in psychology know that correlation does not imply causation , many journalists do not. Many headlines suggest that a causal relationship has been demonstrated, when a careful reading of the articles shows that it has not because of the directionality and third-variable problems.
One article is about a study showing that children who ate candy every day were more likely than other children to be arrested for a violent offense later in life. But could candy really “lead to” violence, as the headline suggests? What alternative explanations can you think of for this statistical relationship? How could the headline be rewritten so that it is not misleading?
As we will see later in the book, there are various ways that researchers address the directionality and third-variable problems. The most effective, however, is to conduct an experiment. An experiment is a study in which the researcher manipulates the independent variable. For example, instead of simply measuring how much people exercise, a researcher could bring people into a laboratory and randomly assign half of them to run on a treadmill for 15 minutes and the rest to sit on a couch for 15 minutes. Although this seems like a minor addition to the research design, it is extremely important. Now if the exercisers end up in more positive moods than those who did not exercise, it cannot be because their moods affected how much they exercised (because it was the researcher who determined how much they exercised). Likewise, it cannot be because some third variable (e.g., physical health) affected both how much they exercised and what mood they were in (because, again, it was the researcher who determined how much they exercised). Thus experiments eliminate the directionality and third-variable problems and allow researchers to draw firm conclusions about causal relationships.
2.2 Generating Good Research Questions
Good research must begin with a good research question. Yet coming up with good research questions is something that novice researchers often find difficult and stressful. One reason is that this is a creative process that can appear mysterious—even magical—with experienced researchers seeming to pull interesting research questions out of thin air. However, psychological research on creativity has shown that it is neither as mysterious nor as magical as it appears. It is largely the product of ordinary thinking strategies and persistence (Weisberg, 1993). This section covers some fairly simple strategies for finding general research ideas, turning those ideas into empirically testable research questions, and finally evaluating those questions in terms of how interesting they are and how feasible they would be to answer.
Finding Inspiration
Research questions often begin as more general research ideas—usually focusing on some behaviour or psychological characteristic: talkativeness, memory for touches, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas come from in the first place. Three of the most common sources of inspiration are informal observations, practical problems, and previous research.
Informal observations include direct observations of our own and others’ behaviour as well as secondhand observations from nonscientific sources such as newspapers, books, and so on. For example, you might notice that you always seem to be in the slowest moving line at the grocery store. Could it be that most people think the same thing? Or you might read in the local newspaper about people donating money and food to a local family whose house has burned down and begin to wonder about who makes such donations and why. Some of the most famous research in psychology has been inspired by informal observations. Stanley Milgram’s famous research on obedience, for example, was inspired in part by journalistic reports of the trials of accused Nazi war criminals—many of whom claimed that they were only obeying orders. This led him to wonder about the extent to which ordinary people will commit immoral acts simply because they are ordered to do so by an authority figure (Milgram, 1963).
Practical problems can also inspire research ideas, leading directly to applied research in such domains as law, health, education, and sports. Can human figure drawings help children remember details about being physically or sexually abused? How effective is psychotherapy for depression compared to drug therapy? To what extent do cell phones impair people’s driving ability? How can we teach children to read more efficiently? What is the best mental preparation for running a marathon?
Probably the most common inspiration for new research ideas, however, is previous research. Recall that science is a kind of large-scale collaboration in which many different researchers read and evaluate each other’s work and conduct new studies to build on it. Of course, experienced researchers are familiar with previous research in their area of expertise and probably have a long list of ideas. This suggests that novice researchers can find inspiration by consulting with a more experienced researcher (e.g., students can consult a faculty member). But they can also find inspiration by picking up a copy of almost any professional journal and reading the titles and abstracts. In one typical issue of Psychological Science, for example, you can find articles on the perception of shapes, anti-Semitism, police lineups, the meaning of death, second-language learning, people who seek negative emotional experiences, and many other topics. If you can narrow your interests down to a particular topic (e.g., memory) or domain (e.g., health care), you can also look through more specific journals, such as Memory Cognition or Health Psychology.
Generating Empirically Testable Research Questions
Once you have a research idea, you need to use it to generate one or more empirically testable research questions, that is, questions expressed in terms of a single variable or relationship between variables. One way to do this is to look closely at the discussion section in a recent research article on the topic. This is the last major section of the article, in which the researchers summarize their results, interpret them in the context of past research, and suggest directions for future research. These suggestions often take the form of specific research questions, which you can then try to answer with additional research. This can be a good strategy because it is likely that the suggested questions have already been identified as interesting and important by experienced researchers.
But you may also want to generate your own research questions. How can you do this? First, if you have a particular behaviour or psychological characteristic in mind, you can simply conceptualize it as a variable and ask how frequent or intense it is. How many words on average do people speak per day? How accurate are children’s memories of being touched? What percentage of people have sought professional help for depression? If the question has never been studied scientifically—which is something that you will learn in your literature review—then it might be interesting and worth pursuing.
If scientific research has already answered the question of how frequent or intense the behaviour or characteristic is, then you should consider turning it into a question about a statistical relationship between that behaviour or characteristic and some other variable. One way to do this is to ask yourself the following series of more general questions and write down all the answers you can think of.
· What are some possible causes of the behaviour or characteristic?
· What are some possible effects of the behaviour or characteristic?
· What types of people might exhibit more or less of the behaviour or characteristic?
· What types of situations might elicit more or less of the behaviour or characteristic?
In general, each answer you write down can be conceptualized as a second variable, suggesting a question about a statistical relationship. If you were interested in talkativeness, for example, it might occur to you that a possible cause of this psychological characteristic is family size. Is there a statistical relationship between family size and talkativeness? Or it might occur to you that people seem to be more talkative in same-sex groups than mixed-sex groups. Is there a difference in the average level of talkativeness of people in same-sex groups and people in mixed-sex groups? This approach should allow you to generate many different empirically testable questions about almost any behaviour or psychological characteristic.
If through this process you generate a question that has never been studied scientifically—which again is something that you will learn in your literature review—then it might be interesting and worth pursuing. But what if you find that it has been studied scientifically? Although novice researchers often want to give up and move on to a new question at this point, this is not necessarily a good strategy. For one thing, the fact that the question has been studied scientifically and the research published suggests that it is of interest to the scientific community. For another, the question can almost certainly be refined so that its answer will still contribute something new to the research literature. Again, asking yourself a series of more general questions about the statistical relationship is a good strategy.
· Are there other ways to operationally define the variables?
· Are there types of people for whom the statistical relationship might be stronger or weaker?
· Are there situations in which the statistical relationship might be stronger or weaker—including situations with practical importance?
For example, research has shown that women and men speak about the same number of words per day—but this was when talkativeness was measured in terms of the number of words spoken per day among college students in the United States and Mexico. We can still ask whether other ways of measuring talkativeness—perhaps the number of different people spoken to each day—produce the same result. Or we can ask whether studying elderly people or people from other cultures produces the same result. Again, this approach should help you generate many different research questions about almost any statistical relationship.
2.3 Evaluating Research Questions
Researchers usually generate many more research questions than they ever attempt to answer. This means they must have some way of evaluating the research questions they generate so that they can choose which ones to pursue. In this section, we consider two criteria for evaluating research questions: the interestingness of the question and the feasibility of answering it.
Interestingness
How often do people tie their shoes? Do people feel pain when you punch them in the jaw? Are women more likely to wear makeup than men? Do people prefer vanilla or chocolate ice cream? Although it would be a fairly simple matter to design a study and collect data to answer these questions, you probably would not want to because they are not interesting. We are not talking here about whether a research question is interesting to us personally but whether it is interesting to people more generally and, especially, to the scientific community. But what makes a research question interesting in this sense? Here we look at three factors that affect the interestingness of a research question: the answer is in doubt, the answer fills a gap in the research literature, and the answer has important practical implications.
First, a research question is interesting to the extent that its answer is in doubt. Obviously, questions that have been answered by scientific research are no longer interesting as the subject of new empirical research. But the fact that a question has not been answered by scientific research does not necessarily make it interesting. There has to be some reasonable chance that the answer to the question will be something that we did not already know. But how can you assess this before actually collecting data? One approach is to try to think of reasons to expect different answers to the question—especially ones that seem to conflict with common sense. If you can think of reasons to expect at least two different answers, then the question might be interesting. If you can think of reasons to expect only one answer, then it probably is not. The question of whether women are more talkative than men is interesting because there are reasons to expect both answers. The existence of the stereotype itself suggests the answer could be yes, but the fact that women’s and men’s verbal abilities are fairly similar suggests the answer could be no. The question of whether people feel pain when you punch them in the jaw is not interesting because there is absolutely no reason to think that the answer could be anything other than a resounding yes.
A second important factor to consider when deciding if a research question is interesting is whether answering it will fill a gap in the research literature. Again, this means in part that the question has not already been answered by scientific research. But it also means that the question is in some sense a natural one for people who are familiar with the research literature. For example, the question of whether human figure drawings can help children recall touch information would be likely to occur to anyone who was familiar with research on the unreliability of eyewitness memory (especially in children) and the ineffectiveness of some alternative interviewing techniques.
A final factor to consider when deciding whether a research question is interesting is whether its answer has important practical implications. Again, the question of whether human figure drawings help children recall information about being touched has important implications for how children are interviewed in physical and sexual abuse cases. The question of whether cell phone use impairs driving is interesting because it is relevant to the personal safety of everyone who travels by car and to the debate over whether cell phone use should be restricted by law.
Feasibility
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that they do not waste time and effort pursuing research that they cannot complete successfully.
Looking through a sample of professional journals in psychology will reveal many studies that are complicated and difficult to carry out. These include longitudinal designs in which participants are tracked over many years, neuroimaging studies in which participants’ brain activity is measured while they carry out various mental tasks, and complex non-experimental studies involving several variables and complicated statistical analyses. Keep in mind, though, that such research tends to be carried out by teams of highly trained researchers whose work is often supported in part by government and private grants. Keep in mind also that research does not have to be complicated or difficult to produce interesting and important results. Looking through a sample of professional journals will also reveal studies that are relatively simple and easy to carry out—perhaps involving a convenience sample of college students and a paper-and-pencil task.
A final point here is that it is generally good practice to use methods that have already been used successfully by other researchers. For example, if you want to manipulate people’s moods to make some of them happy, it would be a good idea to use one of the many approaches that have been used successfully by other researchers (e.g., paying them a compliment). This is good not only for the sake of feasibility—the approach is “tried and true”—but also because it provides greater continuity with previous research. This makes it easier to compare your results with those of other researchers and to understand the implications of their research for yours, and vice versa.
Key Takeaways
· Research ideas can come from a variety of sources, including informal observations, practical problems, and previous research.
· Research questions expressed in terms of variables and relationships between variables can be suggested by other researchers or generated by asking a series of more general questions about the behaviour or psychological characteristic of interest.
· It is important to evaluate how interesting a research question is before designing a study and collecting data to answer it. Factors that affect interestingness are the extent to which the answer is in doubt, whether it fills a gap in the research literature, and whether it has important practical implications.
· It is also important to evaluate how feasible a research question will be to answer. Factors that affect feasibility include time, money, technical knowledge and skill, and access to special equipment and research participants.
References from Chapter 2
Milgram, S. (1963). Behavioral study of obedience. Journal of Abnormal and Social Psychology, 67, 371–378.
Stanovich, K. E. (2010). How to think straight about psychology (9th ed.). Boston, MA: Allyn Bacon.
Weisberg, R. W. (1993). Creativity: Beyond the myth of genius. New York, NY: Freeman.
Research Methods in Psychology & Neuroscience Copyright © by Dalhousie University Introduction to Psychology and Neuroscience Team. All Rights Reserved.
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Split Brain Research into Hemispheric Lateralisation Biopsychology Essay 16 Mark Model Answer AQA
Subject: Psychology
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A grade answer written by a teacher in line with AQA mark schemes, specification and approved textbooks.
AO1 = Sperry’s split brain research
AO3 = Balance of strengths and limitations relating to scientific methodology, generalisability and contradictory research evidence.
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Biopsychology Essays AQA Psychology A-Level Bundle
16 mark answers for the entire unit. All answers are based on the AQA specification, mark schemes and textbooks. Answers include AO1 (description of theories and studies) and AO3 (evaluation). References to methodological criticisms, issues and debates and practical applications are made where appropriate. All answers are A grade and can be differentiated to meet different abilities. Answers are approximately one page long to reflect the amount a student can write under exam conditions.
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Cognitive psychology is the branch that focuses on the interactions of thinking, emotion, creativity, and problem-solving. It also explores the reasons humans think the way they do. This topic involves exploring how people think by measuring intelligence, thoughts, and cognition. Here are some research question ideas: 6.
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: Dreams. False memories. Attention. Perception.
Creating a Research Question - Psychology Research Methods - LibGuides at Alvernia University. Read through your assignment. Professors design an assignment outline for a reason. Make sure your topic can and will adhere to their requirements and guidelines. Choose a topic you are interested in.
The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.
A research question is a statement that defines what is to be studied. It is the core of the research project, study, or literature review. Your research question focuses the study, determines the methodology, and guides all stages of inquiry, analysis, and reporting. Your research question should... Be focused. Identify the problem you're ...
Research questions often begin as more general research ideas—usually focusing on some behavior or psychological characteristic: talkativeness, memory for touches, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas come from in ...
Finding Inspiration. Research questions often begin as more general research ideas—usually focusing on some behaviour or psychological characteristic: talkativeness, learning, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas ...
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that ...
Research questions have a few characteristics. They're open-ended. (They can't be answered with a simple yes or no response.) They're often measurable through quantitative data or qualitative measures. They summarize the issue/topic being researched. They may take a fresh look at an issue or try to solve a problem. In addition, research ...
The Scientific Method in Psychology Research. The steps of the scientific method in psychology research are: Make an observation. Ask a research question and make predictions about what you expect to find. Test your hypothesis and gather data. Examine the results and form conclusions. Report your findings.
Research Ideas: Clinical Psychology. The use of mindfulness-based approaches in the treatment of anxiety disorders among college students. The use of technology in the delivery of psychological services in war-torn countries. The effectiveness of dialectical behaviour therapy for borderline personality disorder.
A second important criterion for evaluating research questions is the feasibility of successfully answering them. There are many factors that affect feasibility, including time, money, equipment and materials, technical knowledge and skill, and access to research participants. Clearly, researchers need to take these factors into account so that ...
Developing Your Research Question. Search. * Psychology. This guide provides reliable resources pertaining to the study of behavior and the mind, including books, journals, databases, videos, and reference sources in the psychological sciences.
Examples of systemic racism-related psychology research topics include: Access to mental health resources based on race. The prevalence of BIPOC mental health therapists in a chosen area. The impact of systemic racism on mental health and self-worth. Racism training for mental health workers.
It will be far easier for you to research and write your literature review if you develop a strong, focused research question: Do some exploratory research on your topic idea, in your course textbook, class notes, and PsycINFO to identify specific issues, arguments, and analytical approaches in your research area and then identify possible ...
A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights. But, if you're new to research, it's not always clear what exactly constitutes a good research question. In this post, we'll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!
Ask questions . From your pre-research, think about questions you might be able to ask regarding the topic. Most scholarly research examines fairly narrow topics and looks at relationships between concepts. One way to limit the scope of your topic is to ask who, what, where, when, why, and how questions. Be flexible
In this chapter, we examine the principal types of research questions or problems, give examples of each, and review the design expectations that each type of question establishes. ... Research questions and hypotheses. In J. Meltzoff & H. Cooper, Critical thinking about research: Psychology and related fields (2nd ed., pp. 23-41). American ...
Olivia Guy-Evans, MSc. Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes. They include experiments, surveys, case studies, and naturalistic observations, ensuring data collection is objective and reliable to understand and explain psychological phenomena.
Once you have your research topic and an initial understanding of the literature base, you need to generate a specific research question. Good research questions are formed and iterated, not simply found. You start with what interests you, and you refine it until it is workable. This is usually done in conjunction with your supervisor.
When choosing a good psychology research topic, it is important to consider the practicalities of conducting your research. For example, you need to make sure that you will be able to access the necessary data or participants for your study. 6. Make sure your chosen topic is ethical. It is important to choose a topic that is ethical and ...
Finding Inspiration. Research questions often begin as more general research ideas—usually focusing on some behavior or psychological characteristic: talkativeness, learning, depression, bungee jumping, and so on. Before looking at how to turn such ideas into empirically testable research questions, it is worth looking at where such ideas ...
Research questions in psychology are about variables. A variable is a quantity or quality that varies across people or situations. For example, the height of the students in a psychology class is a variable because it varies from student to student. The sex of the students is also a variable as long as there are both male and female students in ...
AO1 = Sperry's split brain research. AO3 = Balance of strengths and limitations relating to scientific methodology, generalisability and contradictory research evidence. ... Biopsychology Essays AQA Psychology A-Level Bundle. 16 mark answers for the entire unit. All answers are based on the AQA specification, mark schemes and textbooks.