research topic meaning wikipedia

Research Skills

Understanding your research topic, glossary of task words.

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Break down topic

Task/Instruction words are the words or phrases used in your assignment topic/question to tell you what to do. These words are also included in the marking criteria of your assignment.

Keywords are the content words that provide the topic of the question, and are the words you use to conduct your search.

Limiting words  help you focus or narrow your search and to make your answer more precise and relevant to the topic.

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Conceptualizing your research topic

Conceptualizing a research topic entails formulating a “defensible and researchable” research question . Conducting a literature search as one of the first steps in a graduate degree is often quite helpful as published peer-reviewed research articles are key to identify knowledge gaps in current literature. Thus, students can design and phrase their research projects to aim to address these research gaps.

Elements of a good research topic

• Interesting: topic represents an area of deep interest for the researcher
• Original : for PhD students, the topic can produce an original contribution to knowledge
• Manageable: research question could be answered within the degree’s recommended time frame (see time limitation ).

At McGill, PhD students are usually expected to have a sufficiently defined research topic by the time of the comprehensive exam .

Seminar presentations can help with topic definition and project planning

Many experienced supervisors and successful PhD students suggest that preparing a research proposal for presentation at a seminar within six months of commencement helps with focusing on the topic. Here are some suggested questions:

• What is it that you want to find answers for?
• Why is it important that this be researched?
• What impact will this research have?
• How will you go about researching this?

Read critically to identify gaps in the field and understand different research methods

Critical reading involves developing an understanding of the knowledge and gaps in the field and being able to critique different research methods, methodologies and epistemologies.

Try concept mapping to visualize and organize links between ideas

Concept mapping: a practical strategy for students and researchers starting a project. It helps to identify areas of importance as well as possibilities for the exploration and analysis of such areas.

Concept maps are helpful as a means of focusing discussion on the topic or research question because they offer a visual approach to creating relationships among concepts . More information about concept mapping can be found at the Institute for Human and Machine Cognition's page on Constructing your first concept map .

• A concept map showing the main components of a concept map , from Novak & Canas (2008) .

If the student makes a concept map, this can form the basis of different discussions between the student and supervisor.

How important is motivation for topic selection?

Most graduate students have a general idea about what they would like to research. Depending on supervisors and disciplines, a student may be "given" a specific research topic or a list of topics to choose from or be asked to generate a topic based on her or his prior knowledge and experience. In either situation, it is a good idea to talk with others – supervisors, students, colleagues, peers, even friends and family – about possible choices, since a research topic is something most students will commit to for the rest of their degree.

Point to reflect on

• What questions, topics or methodologies are you passionate about? Why are you passionate about them (e.g., personal interest or curiosity, potential applications to help others or the environment)?
• Is it possible to answer your desired question within the time frame of a graduate degree? If not, is it possible to choose a portion of this topic to investigate during your graduate studies?
• Do you get more motivated from knowing exactly what you’re going to do, or from the excitement of unexpected discoveries or research trajectories? How can you select a topic and plan your project to better suit your sources of motivation See  Staying motivated  for additional resources

Steps to refine the research focus

• Identify the boundaries of the research areas and the gaps in the field .
• Make a list of possible research ideas within a topic.
• Discuss these ideas with others (e.g., peers, colleagues, professors, mentors). This can provide opportunities for receiving advice based on past experiences, additional ideas, or opportunities for collaboration.
• Reduce the list to two ideas : a first choice and a backup. Having a backup is useful in the event that the first choice is found to be inappropriate for the time restriction, require unattainable resources, or be otherwise not feasible.
• Brainstorm as many ideas, questions, possible problems, and any other thoughts relevant to the first choice.
• Narrow down these ideas into a more precise focus by considering feasibility (e.g., time, requires resources), interest, and significance. The resulting idea should complete the sentence “The purpose of this project is…”
• Refer back to the brainstorming and remove anything not relevant to the purpose statement. Add any new relevant ideas. Use these ideas as well as the purpose statement to create a list of researchable questions . Be sure to define key terms and consider required resources, including the characteristics of the participants if applicable.
• Create a project outline. Consider what information or data will be needed and how it can be obtained.

Adapted from Wisker (2005, p. 83) and Bell & Waters (2014)

Bell, J., & Waters, S. (2014). Doing your research project: A guide for first-time researchers . New York, NY: McGraw-Hill Education.

Novak, J. D., & Cañas, A. J. (2008). The theory underlying concept maps and how to construct and use them. Institute for Human and Machine Cognition . Retrieved from http://cmap.ihmc.us/docs/theory-of-concept-maps

Wisker, G. (2005). The good supervisor: Supervising postgraduate and undergraduate research for doctoral theses and dissertations . Basingstoke: Palgrave Macmillan.

This work is licensed under a Creative Commons Attribution Non-Commercial 4.0 International License . Graduate and Postdoctoral Studies, McGill University .

Department and University Information

Graduate and postdoctoral studies.

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When Is Wikipedia Useful?

• Can be a useful place to start when you don't know much about a topic.  It can be great for background information,  but for the type of academic research you will be doing at UMGC, it is better to use an academic subject encyclopedia from one of the library’s databases already mentioned (Gale, SAGE, or Oxford Reference).
• Can be written and edited by anyone . However, unlike the library’s subject encyclopedias, this means the content is dynamic, and can change at any time, and there is no way to guarantee the author’s expertise.

Wikipedia can be safely used in the following ways:

• As a Starting Point - Wikipedia can give you background information on a topic, as well as perspectives you can use when formulating a research topic. You should not cite Wikipedia as a source for your research. You should always validate anything you use for research in a reliable source.
• Finding Sources - The reference list at the bottom of a Wikipedia page allows you to access many types of sources on the topic, including academic journal articles, news sources, and even primary sources. Even if there are no actual links to these sources, you can search the library databases, or Google for full-text copies of articles or books listed.

For more information on contributing to Wikipedia, see Editing and Contributing to Wikipedia , from Cornell University.

For more information on Wikipedia inaccuracies, see: List of Wikipedia controversies

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Doing Research: A New Researcher’s Guide pp 1–15 Cite as

What Is Research, and Why Do People Do It?

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  
• Open Access
• First Online: 03 December 2022

16k Accesses

Part of the book series: Research in Mathematics Education ((RME))

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Home » Research Topics – Ideas and Examples

Research Topics – Ideas and Examples

Table of Contents

Research Topic

Definition:

Research topic is a specific subject or area of interest that a researcher wants to investigate or explore in-depth through research. It is the overarching theme or question that guides a research project and helps to focus the research activities towards a clear objective.

How to Choose Research Topic

You can Choose a Research Topic by following the below guide:

Identify your Interests

One of the most important factors to consider when choosing a research topic is your personal interest. This is because you will be spending a considerable amount of time researching and writing about the topic, so it’s essential that you are genuinely interested and passionate about it. Start by brainstorming a list of potential research topics based on your interests, hobbies, or areas of expertise. You can also consider the courses that you’ve enjoyed the most or the topics that have stood out to you in your readings.

Review the Literature

Before deciding on a research topic, you need to understand what has already been written about it. Conducting a preliminary review of the existing literature in your field can help you identify gaps in knowledge, inconsistencies in findings, or unanswered questions that you can explore further. You can do this by reading academic articles, books, and other relevant sources in your field. Make notes of the themes or topics that emerge and use this information to guide your research question.

Consult with your Advisor

Your academic advisor or a mentor in your field can provide you with valuable insights and guidance on choosing a research topic. They can help you identify areas of interest, suggest potential research questions, and provide feedback on the feasibility of your research proposal. They can also direct you towards relevant literature and resources that can help you develop your research further.

Consider the Scope and Feasibility

The research topic you choose should be manageable within the time and resource constraints of your project. Be mindful of the scope of your research and ensure that you are not trying to tackle a topic that is too broad or too narrow. If your topic is too broad, you may find it challenging to conduct a comprehensive analysis, while if it’s too narrow, you may struggle to find enough material to support your research.

Brainstorm with Peers

Discussing potential research topics with your peers or colleagues can help you generate new ideas and perspectives. They may have insights or expertise that you haven’t considered, and their feedback can help you refine your research question. You can also join academic groups or attend conferences in your field to network with other researchers and get inspiration for your research.

Consider the Relevance

Choose a research topic that is relevant to your field of study and has the potential to contribute to the existing knowledge. You can consider the latest trends and emerging issues in your field to identify topics that are both relevant and interesting. Conducting research on a topic that is timely and relevant can also increase the likelihood of getting published or presenting your research at conferences.

Keep an Open Mind

While it’s essential to choose a research topic that aligns with your interests and expertise, you should also be open to exploring new ideas or topics that may be outside of your comfort zone. Consider researching a topic that challenges your assumptions or introduces new perspectives that you haven’t considered before. You may discover new insights or perspectives that can enrich your research and contribute to your growth as a researcher.

Components of Research Topic

A research topic typically consists of several components that help to define and clarify the subject matter of the research project. These components include:

• Research problem or question: This is the central issue or inquiry that the research seeks to address. It should be well-defined and focused, with clear boundaries that limit the scope of the research.
• Background and context: This component provides the necessary background information and context for the research topic. It explains why the research problem or question is important, relevant, and timely. It may also include a literature review that summarizes the existing research on the topic.
• Objectives or goals : This component outlines the specific objectives or goals that the research seeks to achieve. It should be clear and concise, and should align with the research problem or question.
• Methodology : This component describes the research methods and techniques that will be used to collect and analyze data. It should be detailed enough to provide a clear understanding of how the research will be conducted, including the sampling method, data collection tools, and statistical analyses.
• Significance or contribution : This component explains the significance or contribution of the research topic. It should demonstrate how the research will add to the existing knowledge in the field, and how it will benefit practitioners, policymakers, or society at large.
• Limitations: This component outlines the limitations of the research, including any potential biases, assumptions, or constraints. It should be transparent and honest about the potential shortcomings of the research, and how these limitations will be addressed.
• Expected outcomes or findings : This component provides an overview of the expected outcomes or findings of the research project. It should be realistic and based on the research objectives and methodology.

Purpose of Research Topic

The purpose of a research topic is to identify a specific area of inquiry that the researcher wants to explore and investigate. A research topic is typically a broad area of interest that requires further exploration and refinement through the research process. It provides a clear focus and direction for the research project, and helps to define the research questions and objectives. A well-defined research topic also helps to ensure that the research is relevant and useful, and can contribute to the existing body of knowledge in the field. Ultimately, the purpose of a research topic is to generate new insights, knowledge, and understanding about a particular phenomenon, issue, or problem.

Characteristics of Research Topic

some common characteristics of a well-defined research topic include:

• Relevance : A research topic should be relevant and significant to the field of study and address a current issue, problem, or gap in knowledge.
• Specificity : A research topic should be specific enough to allow for a focused investigation and clear understanding of the research question.
• Feasibility : A research topic should be feasible, meaning it should be possible to carry out the research within the given constraints of time, resources, and expertise.
• Novelty : A research topic should add to the existing body of knowledge by introducing new ideas, concepts, or theories.
• Clarity : A research topic should be clearly articulated and easy to understand, both for the researcher and for potential readers of the research.
• Importance : A research topic should be important and have practical implications for the field or society as a whole.
• Significance : A research topic should be significant and have the potential to generate new insights and understanding in the field.

Examples of Research Topics

Here are some examples of research topics that are currently relevant and in-demand in various fields:

• The impact of social media on mental health: With the rise of social media use, this topic has gained significant attention in recent years. Researchers could investigate how social media affects self-esteem, body image, and other mental health concerns.
• The use of artificial intelligence in healthcare: As healthcare becomes increasingly digitalized, researchers could explore the use of AI algorithms to predict and prevent disease, optimize treatment plans, and improve patient outcomes.
• Renewable energy and sustainable development: As the world seeks to reduce its carbon footprint, researchers could investigate the potential of renewable energy sources such as wind and solar power, and how these technologies can be integrated into existing infrastructure.
• The impact of workplace diversity and inclusion on employee productivity: With an increasing focus on diversity and inclusion in the workplace, researchers could investigate how these factors affect employee morale, productivity, and retention.
• Cybersecurity and data privacy: As data breaches and cyber attacks become more common, researchers could explore new methods of protecting sensitive information and preventing malicious attacks.
• T he impact of mindfulness and meditation on stress reduction: As stress-related health issues become more prevalent, researchers could investigate the effectiveness of mindfulness and meditation practices on reducing stress and improving overall well-being.

Research Topics Ideas

Here are some Research Topics Ideas from different fields:

• The impact of social media on mental health and well-being.
• The effectiveness of various teaching methods in improving academic performance in high schools.
• The role of AI and machine learning in healthcare: current applications and future potentials.
• The impact of climate change on wildlife habitats and conservation efforts.
• The effects of video game violence on aggressive behavior in young adults.
• The effectiveness of mindfulness-based stress reduction techniques in reducing anxiety and depression.
• The impact of technology on human relationships and social interactions.
• The role of exercise in promoting physical and mental health in older adults.
• The causes and consequences of income inequality in developed and developing countries.
• The effects of cultural diversity in the workplace on job satisfaction and productivity.
• The impact of remote work on employee productivity and work-life balance.
• The relationship between sleep patterns and cognitive functioning.
• The effectiveness of online learning versus traditional classroom learning.
• The role of government policies in promoting renewable energy adoption.
• The effects of childhood trauma on mental health in adulthood.
• The impact of social media on political participation and civic engagement.
• The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
• The relationship between nutrition and cognitive functioning.
• The impact of gentrification on urban communities.
• The effects of music on mood and emotional regulation.
• The impact of microplastics on marine ecosystems and food webs.
• The role of artificial intelligence in detecting and preventing cyberattacks.
• The effectiveness of mindfulness-based interventions in managing chronic pain.
• The relationship between personality traits and job satisfaction.
• The effects of social isolation on mental and physical health in older adults.
• The impact of cultural and linguistic diversity on healthcare access and outcomes.
• The effectiveness of psychotherapy in treating depression and anxiety in adolescents.
• The relationship between exercise and cognitive aging.
• The effects of social media on body image and self-esteem.
• The role of corporate social responsibility in promoting sustainable business practices.
• The impact of mindfulness meditation on attention and focus in children.
• The relationship between political polarization and media consumption habits.
• The effects of urbanization on mental health and well-being.
• The role of social support in managing chronic illness.
• The impact of social media on romantic relationships and dating behaviors.
• The effectiveness of behavioral interventions in promoting physical activity in sedentary adults.
• The relationship between sleep quality and immune function.
• The effects of workplace diversity and inclusion programs on employee retention.
• The impact of climate change on global food security.
• The role of music therapy in improving communication and social skills in individuals with autism spectrum disorder.
• The impact of cultural values on the development of mental health stigma.
• The effectiveness of mindfulness-based stress reduction techniques in reducing burnout in healthcare professionals.
• The relationship between social media use and body dissatisfaction among adolescents.
• The effects of nature exposure on cognitive functioning and well-being.
• The role of peer mentoring in promoting academic success in underrepresented student populations.
• The impact of neighborhood characteristics on physical activity and obesity.
• The effectiveness of cognitive rehabilitation interventions in improving cognitive functioning in individuals with traumatic brain injury.
• The relationship between organizational culture and employee job satisfaction.
• The effects of cultural immersion experiences on intercultural competence development.
• The role of assistive technology in promoting independence and quality of life for individuals with disabilities.
• The impact of workplace design on employee productivity and well-being.
• The impact of digital technologies on the music industry and artist revenues.
• The effectiveness of cognitive behavioral therapy in treating insomnia.
• The relationship between social media use and body weight perception among young adults.
• The effects of green spaces on mental health and well-being in urban areas.
• The role of mindfulness-based interventions in reducing substance use disorders.
• The impact of workplace bullying on employee turnover and job satisfaction.
• The effectiveness of animal-assisted therapy in treating mental health disorders.
• The relationship between teacher-student relationships and academic achievement.
• The effects of social support on resilience in individuals experiencing adversity.
• The role of cognitive aging in driving safety and mobility.
• The effectiveness of psychotherapy in treating post-traumatic stress disorder (PTSD).
• The relationship between social media use and sleep quality.
• The effects of cultural competency training on healthcare providers’ attitudes and behaviors towards diverse patient populations.
• The role of exercise in preventing chronic diseases such as type 2 diabetes and cardiovascular disease.
• The impact of the gig economy on job security and worker rights.
• The effectiveness of art therapy in promoting emotional regulation and coping skills in children and adolescents.
• The relationship between parenting styles and child academic achievement.
• The effects of social comparison on well-being and self-esteem.
• The role of nutrition in promoting healthy aging and longevity.
• The impact of gender diversity in leadership on organizational performance.
• The effectiveness of family-based interventions in treating eating disorders.
• The relationship between social media use and perceived loneliness among older adults.
• The effects of mindfulness-based interventions on pain management in chronic pain patients.
• The role of physical activity in preventing and treating depression.
• The impact of cultural differences on communication and conflict resolution in international business.
• The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating anxiety disorders.
• The relationship between student engagement and academic success in higher education.
• The effects of discrimination on mental health outcomes in minority populations.
• The role of virtual reality in enhancing learning experiences.
• The impact of social media influencers on consumer behavior and brand loyalty.
• The effectiveness of acceptance and commitment therapy (ACT) in treating chronic pain.
• The relationship between social media use and body image dissatisfaction among men.
• The effects of exposure to nature on cognitive functioning and creativity.
• The role of spirituality in coping with illness and disability.
• The impact of automation on employment and job displacement.
• The effectiveness of dialectical behavior therapy (DBT) in treating borderline personality disorder.
• The relationship between teacher-student relationships and school attendance.
• The effects of mindfulness-based interventions on workplace stress and burnout.
• The role of exercise in promoting cognitive functioning and brain health in older adults.
• The impact of diversity and inclusion initiatives on organizational innovation and creativity.
• The effectiveness of cognitive remediation therapy in treating schizophrenia.
• The relationship between social media use and body dissatisfaction among women.
• The effects of exposure to natural light on mood and sleep quality.
• The role of spirituality in enhancing well-being and resilience in military personnel.
• The impact of artificial intelligence on job training and skill development.
• The effectiveness of interpersonal therapy (IPT) in treating depression.
• The relationship between parental involvement and academic achievement among low-income students.
• The effects of mindfulness-based interventions on emotional regulation and coping skills in trauma survivors.
• The role of nutrition in preventing and treating mental health disorders.

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research Basics

• What Is Research?
• Types of Research
• Secondary Research | Literature Review
• Developing Your Topic
• Primary vs. Secondary Sources
• Evaluating Sources
• Responsible Conduct of Research
• Additional Help

A good working definition of research might be:

Research is the deliberate, purposeful, and systematic gathering of data, information, facts, and/or opinions for the advancement of personal, societal, or overall human knowledge.

Based on this definition, we all do research all the time. Most of this research is casual research. Asking friends what they think of different restaurants, looking up reviews of various products online, learning more about celebrities; these are all research.

Formal research includes the type of research most people think of when they hear the term “research”: scientists in white coats working in a fully equipped laboratory. But formal research is a much broader category that just this. Most people will never do laboratory research after graduating from college, but almost everybody will have to do some sort of formal research at some point in their careers.

So What Do We Mean By “Formal Research?”

Casual research is inward facing: it’s done to satisfy our own curiosity or meet our own needs, whether that’s choosing a reliable car or figuring out what to watch on TV. Formal research is outward facing. While it may satisfy our own curiosity, it’s primarily intended to be shared in order to achieve some purpose. That purpose could be anything: finding a cure for cancer, securing funding for a new business, improving some process at your workplace, proving the latest theory in quantum physics, or even just getting a good grade in your Humanities 200 class.

What sets formal research apart from casual research is the documentation of where you gathered your information from. This is done in the form of “citations” and “bibliographies.” Citing sources is covered in the section "Citing Your Sources."

Formal research also follows certain common patterns depending on what the research is trying to show or prove. These are covered in the section “Types of Research.”

• Next: Types of Research >>
• Last Updated: Dec 21, 2023 3:49 PM
• URL: https://guides.library.iit.edu/research_basics

How to Research

Define a topic.

• Library Resources
• Web Resources
• Evaluate for Quality
• Research Tips & Search Strategies
• Academic Integrity
• Citation Styles
• Annotated Bibliography

• Understand assignment requirements .
• Select a topic for their research paper.
• Formulate a research question.
• Narrow or broaden a research question.
• Determine keywords and brainstorm search terms .

   If you are unsure about what is expected about your assignment, consult with your instructor.

Step 1: Understand Your Assignment

Understand your assignment.

Before setting out to complete an assignment, get to know what is required. Parts of the assignment description students should look for include:

• Due date. Plan out an adequate amount of time to learn about your assignment, conduct research, create citations, and write.
• Length. The length of an assignment will give you an idea of how much research you will need to do.
• Citation Style. It will give you an idea of how to format your assignment (e.g., single-spaced, double-spaced, font, etc.) and create references (e.g., APA Style). If this information is not present in your assignment description, check your course outline.
• Sources. This includes the number of sources and types of sources you will need to complete the assignment sufficiently (e.g., scholarly sources).

Assignment descriptions also provide useful context or background information that will help you with identifying a topic.

Source: Niagara College Libraries + Learning Commons Information Skills Online Handbook

Step 2: Select a Research Topic

• a) Topic Selection
• b) Background Research
• c) Research Question
• d) Assess Your Topic

Select a Topic

Carefully read over your assignment description.

• Have you been provided with options for topics or do you need to come up with your own topic?
• Is there something that is happening in the news that interests you?
• Is there something you have learned about in your studies that you would like to explore further?
• If you have any questions, ask your professor for clarification.

When selecting your topic, ask yourself these questions:

• WHY did you choose the topic? What interests you about it? Do you have an opinion about the issues involved?
• WHO  are the information providers on this topic? Who might publish information about it? Who is affected by the topic? Do you know of organizations or institutions affiliated with the topic?
• WHAT are the major questions for this topic? Is there a debate about the topic? Are there a range of issues and viewpoints to consider?
• WHERE is your topic important: at the local, national, or international level? Are there specific places affected by the topic?
• WHEN is/was your topic important? Is it a current event or an historical issue? Do you want to compare your topic by time periods?

Content reproduced from  MIT.edu   under a  Creative Commons Attribution Non-Commercial License

Background Research

Start researching your topic.

This process helps give you some background information about your topic prior to formulating your research question.

• Review your lecture notes and/or course readings for background information.
• You can use Wikipedia for your preliminary research - it often provides a concise overview of the topic with helpful links to open access (freely accessible) journal articles and resources. Do not cite Wikipedia articles in your final paper; however, sources cited on Wikipedia pages are free game (use our evaluation criteria before you cite!).
• Library subscribed  databases .
• A reputable encyclopedia: Encyclopedia Britannica or Funk and Wagnalls New World Encyclopedia .
• A major article on the topic.
• Library research guides .
• Books (and eBooks) on the subject.

Develop a Research Question

Once a topic has been selected and you have performed some background research, you can start developing a research question. 

Why Create a Research Question?

Research questions "help writers focus their research by providing a path through the research and writing process. The specificity of a well-developed research question helps writers avoid the 'all-about' paper and work toward supporting a specific, arguable thesis" (The Writing Center) .

Creating a Research Question

A good research question will require you to analyze an issue or problem. Developing a research question that asks about how or why tends to be more useful than a research question that asks what or describe questions (Monash University) .

You have already asked yourself the 5Ws in step a (Why, Who, What, Where, and When), next ask yourself:

• Is my research question clear and focused? Does your research question clearly state what you intend to research?
• Is my research question complex? Your question should not be able to be answered with a 'yes' or a 'no', but it also should not be too difficult to answer.
• Is my research question researchable? Are there enough resources available to answer your research question?

Sample Research Questions

Sample Research Questions from Indiana University Library

Assess Your Topic

Narrow your topic.

• If your topic is too broad, there will be too many resources for you to sift through.
• Limit your topic to a particular approach to the issue.
• Consider only one piece, or sub-area, of the subject.
• Limit the time span you examine.
• Limit by age, sex, race, occupation, species, or ethnic group.
• Limit by geographical location.

Content reproduced/adapted from  MIT.edu   under a  Creative Commons Attribution Non-Commercial License

Broaden Your Topic

• Broadening the scope of your topic by generalizing what you are looking for.
• Adjusting your topic to something that has been extensively written about if your topic is very new.
• Broadening the scope of language used in search terms. A great way to accomplish this is to include commonly used words (keywords) from your background research. Also, consider using a thesaurus to find synonyms to represent your topic.

Content reproduced/adapted from    under a  Creative Commons Attribution Non-Commercial License

Step 3: Create Keywords, Search Terms, & Thesis

• a) Determine Keywords
• b) Brainstorming Search Terms
• c) Searching
• d) Reassess Research Question

Determining Keywords

It will be easier to find information if you define your topic and identify the key concepts.

Step A) Take a look at your research question and ask yourself, what are the main concepts? These main concepts will become your keywords. 

The research question:

Keywords that describe this topic could include:

From this example, we have highlighted just the key words:

• Today's youth 
• Parents 
• "Better life" (this concept is a bit tricky. You will need to determine what you mean by "better life", such as economic status, healthcare, area of the world, etc.)

We have left out all other words and punctuation (do, have, a, than, their, ?) from our key words.

Brainstorming Search Terms 

Step B) Think of all the words, or synonyms , you can use to describe these keywords. By definition, synonyms are words that have a similar meaning and are interchangeable. To make this process easier, use a thesaurus to find synonyms.

To show this process, we have mapped out several synonyms and related terms to our three main terms we pulled from our research question. Related terms are a little different from synonyms as they do not always mean the exact same thing as the keywords, but are useful for broadening the scope of your search. We have also broken several terms into narrower and broad terms.

Synonyms & Related Terms

• Today's youth = teenagers = adolescents = young adults = Generation Z
• Parents = caregivers = mother = father
• "Better Life" = education = healthcare = finances = socioeconomic status = technology

Narrower Terms

• Education level < Education 
• Financial well-being < Finances

Broad Terms

• Finances > Debt
• Wealth > Income

Step C) Now that we have identified our main keywords, synonyms and related terms, as well as narrower and broad terms, we can start our background research by  searching on the web or in  library databases for resources related to our topic.

Often, a simple Google search will help you define your topic further.

Typing in our research question:  Do today's youth have a better life than their parents?  into the search bar of Google, we come across a very helpful resource put out by Pew Research Center .

[click on above image of a Google search to be sent to the Google results page]

Using resources such as the report from Pew Research Center, we can flesh out more of our research question with new knowledge of the factors that make life different between generations, including education level, income and wealth, housing, etc.

Reassess Research Question & Formulate Thesis

Step D)  Research is an ever-evolving, iterative process. After searching, you may find information that informs your research question and/or resulting search terms. At this point, you may wish to revisit the first two steps: Determining Keywords and Brainstorming Search Terms.

Alternatively, you may also choose to adapt your research question  into a thesis to fit this new information.

Example: 

Our original research question was: 

Based on some of our introductory research we conducted in Step C, it may be more valuable to narrow our research question to focus on a more specific topic, such as access to education. We can rework our research question into a thesis to reflect these changes:

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Selecting a Research Topic: Background information & facts

• Refine your topic
• Background information & facts

What to look for

Background information can help you prepare for further research by explaining all the issues related to your topic, especially when you're investigating a field that's unfamiliar to you. Tips:

• Check for background information in: dictionaries, handbooks and encyclopedias.
• Look for facts in: statistical guides, almanacs, biographical sources, or handbooks.
• Collect keywords or important terms, concepts and author names to use when searching databases.
• Start thinking in broad terms, then narrow down your topic. 
• Look at bibliographies to guide you to other sources of information (books, articles, etc.)

 See also:

• MIT Libraries Subject Experts Librarians who specialize in the field you're researching can assist you with your information search.
• MIT Libraries Research Guides Designed by MIT librarians for finding information in specific fields. Browse the subject categories to find one that matches your topic. Each guide links you to information sources in that field.
• Search Our Collections Find sources on your topic, either in print or online. Search using keywords; for example: global warming handbook

General sources

Below is a selection of online reference sources.  Find more in Search Our Collections .

• CQ Researcher Great background material for current events and controversial topics
• General Reference Research Guide Sources to help find general background information (includes dictionaries and encyclopedias).
• Oxford English Dictionary Online version of the comprehensive OED
• Virtual Reference Collection A collection of web sites, organized by category, for finding facts, data and general information. Created by MIT Libraries staff. For example, for biographical information, see 'People'.
• World Almanac Includes brief factual, statistical, chronological, and descriptive summaries from The Funk & Wagnall's New Encyclopedia and four almanacs

Subject-specific sources

• ASM Handbooks Online Complete content of twenty-one ASM Handbook volumes plus two ASM Desk Editions
• Biography Research Guide Links to many biographical sources that cover various fields, including the Arts, Science, and History
• CRC Handbook of Chemistry and Physics Comprehensive resource of physical constants and properties
• Gale Virtual Reference Library A collection of specialized online encyclopedias
• Knovel: Engineering & Scientific Handbooks Search for scientific & engineering information via an extensive collection of engineering & scientific e-books. Includes interactive tables & graphs.
• ReferenceUSA Searchable directory of millions of public and private U.S. and international companies

About Wikipedia

You're probably already familiar with Wikipedia , a free online encyclopedia.  The reference sources listed on this page are similar to Wikipedia, with some differences that you should be aware of, including:

• Wikipedia is part of the free web, so anyone with an Internet connection can access it seamlessly.
• Reference sources are generally part of the fee-based web, which means they require a subscription to access the content, making the information in them very valuable.  The fee-based sources listed here are paid for by the MIT Libraries.
• "Wikipedia is written collaboratively by volunteers from all around the world.  Anyone with Internet access can make changes to Wikipedia articles."  http://en.wikipedia.org/wiki/Wikipedia:About
• Reference sources are written collectively by experts in the fields they cover - some are researchers, some are professors, but all have qualifications of a professional nature.
• Wikipedia contains encyclopedia-like articles on almost anything, making it a general or multidisciplinary source of information.
• Reference sources are sometimes general in nature, but often cover one subject area in depth, so you can choose a source that focuses on the discipline you're researching more extensively.
• Wikipedia has a set of editing policies and guidelines that authors should follow when writing or editing articles.
• Reference sources are edited and vetted for accuracy, currency, and authority by the source's editorial board (often a group of researchers in the field).  

Wikipedia can be a good source to begin with.  However, you should balance what you find there with information from other reference sources as well.  And make sure you evaluate information you find from the Wikipedia or any other source.

If you have questions about the kind of information you find, please Ask Us .  Library staff are happy to help you find quality information on any topic you're researching.

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• URL: https://libguides.mit.edu/select-topic

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1 Narrowing a Topic

Defining your research question is a process of working from the outside in: you start with the world of all possible topics (or your assigned topic) and narrow down until you have focused your interest enough to be able to state precisely what you want to find out, instead of only what you want to “write about.”

Going through this process can be the hardest part of doing research, but once you have a question that is realistically scoped (not too broad, not too narrow) it will guide the rest of your work.

 The Process of Narrowing a Topic

ACTIVITY: Which Topic is Narrower? 

Now it’s your turn. Practice thinking about narrower topics with these 3 examples. Click the arrow to show the next question.

TIP: Use Some of the 5 W’s to Help Narrow Your Topic to a Searchable Question

Your assignment is to write on the topic of higher education. You decide you want to write about the high cost of tuition, but that is still too broad.

Start by asking some or all of the following questions.

From asking these questions, you might come up with a research question like this:

“How does the high cost of tuition impact the degree completion of mature college students?”

Image: “ Rq-narrow ” by Teaching and Learning, University Libraries is licensed under CC BY-4.0 .

Doing Research Copyright © 2020 by Celia Brinkerhoff is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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1-Research Questions

2. Narrowing a Topic

For many students, having to start with a research question is the biggest difference between how they did research in high school and how they are required to carry out their college research projects. It’s a process of working from the outside in: you start with the world of all possible topics (or your assigned topic) and narrow down until you’ve focused your interest enough to be able to tell precisely what you want to find out, instead of only what you want to “write about.”

Process of Narrowing a Topic

All Possible Topics -You’ll need to narrow your topic in order to do research effectively. Without specific areas of focus, it will be hard to even know where to begin.

Assigned Topics – When professors assign a topic you have to narrow, they have already started the narrowing process. Narrowing a topic means making some part of it more specific. Ideas about a narrower topic can come from anywhere. Often, a narrower topic boils down to deciding what’s interesting to you. One way to get ideas is to read background information from a source like Wikipedia.

Topic Narrowed by Initial Exploration –  It’s wise to do some more reading about that narrower topic to a) learn more about it and b) learn specialized terms used by professionals and scholars who study it.

Topic Narrowed to Research Question(s) –  A research question defines exactly what you are trying to find out. It will influence most of the steps you take to conduct the research.

ACTIVITY: Which Topic Is Narrower?

When we talk about narrowing a topic, we’re talking about making it more specific. You can make it more specific by singling out at least one part or aspect of the original to decrease the scope of the original. Now here’s some practice for you to test your understanding.

Why Narrow a Topic?

Once you have a need for research—say, an assignment—you may need to prowl around a bit online to explore the topic and figure out what you actually want to find out and write about.

For instance, maybe your assignment is to develop a poster about the season “spring” for an introductory horticulture course. The instructor expects you to narrow that topic to something you are interested in and that is related to your class.

Ideas about a narrower topic can come from anywhere. In this case, a narrower topic boils down to deciding what’s interesting to you about “spring” that is related to what you’re learning in your horticulture class and small enough to manage in the time you have.

One way to get ideas would be to read about spring in Wikipedia, looking for things that seem interesting and relevant to your class, and then letting one thing lead to another as you keep reading and thinking about likely possibilities that are more narrow than the enormous “spring” topic. (Be sure to pay attention to the references at the bottom of most Wikipedia pages and pursue any that look interesting. Your instructor is not likely to let you cite Wikipedia, but those references may be citable scholarly sources that you could eventually decide to use.)

Or, instead, if it is spring at the time you could start by just looking around, admire the blooming trees on campus, and decide you’d like your poster to be about bud development on your favorites, the crabapple trees.

What you’re actually doing to narrow your topic is making at least one aspect of your topic more specific. For instance, assume your topic is the maintenance of the 130 miles of sidewalks on OSU’s Columbus campus. If you made maintenance more specific, your narrower topic might be snow removal on Columbus OSU’s sidewalks. If instead, you made the 130 miles of sidewalks more specific, your narrower topic might be maintenance of the sidewalks on all sides of Mirror Lake.

Anna Narrows Her Topic and Works on a Research Question

The Situation: Anna, an undergraduate, has been assigned a research paper on Antarctica. Her professor expects students to (1) narrow the topic on something more specific about Antarctica because they won’t have time to cover that whole topic. Then they are to (2) come up with a research question that their paper will answer.

The professor explained that the research question should be something they are interested in answering and that it must be more complicated than what they could answer with a quick Google search. He also said that research questions often, but not always, start with either the word “how” or “why.”

What you should do:

• Read what Anna is thinking below as she tries to do the assignment.
• After the reading, answer the questions at the end of the monologue in your own mind.
• Check your answers with ours at the end of Anna’s interior monologue.
• Keep this demonstration in mind the next time you are in Anna’s spot, and you can mimic her actions and think about your own topic.

Anna’s Interior Monologue

Okay, I am going to have to write something—a research paper—about Antarctica. I don’t know anything about that place—I think it’s a continent. I can’t think of a single thing I’ve ever wanted to know about Antarctica. How will I come up with a research question about that place? Calls for Wikipedia, I guess.

At https://en.wikipedia.org/wiki/Antarctica . Just skimming. Pretty boring stuff. Oh, look– Antarctica’s a desert! I guess “desert” doesn’t have to do with heat. That’s interesting. What else could it have to do with? Maybe lack of precipitation? But there’s lots of snow and ice there. Have to think about that—what makes a desert a desert?

It says one to five thousand people live there in research stations. Year-round. Definitely, the last thing I’d ever do. “…there is no evidence that it was seen by humans until the 19th century.” I never thought about whether anybody lived in Antarctica first, before the scientists and stuff.

Lots of names—explorer, explorer… boring. It says Amundson reached the South Pole first. Who’s Amundson? But wait. It says, “One month later, the doomed Scott Expedition reached the pole.” Doomed? Doomed is always interesting. Where’s more about the Scott Expedition? I’m going to use that Control-F technique and type in Scott to see if I can find more about him on this page. Nothing beyond that one sentence shows up. Why would they have just that one sentence? I’ll have to click on the Scott Expedition link.

But it gives me a page called Terra Nova Expedition. What does that have to do with Scott? And just who was Scott? And why was his expedition doomed? There he is in a photo before going to Antarctica. Guess he was English. Other photos show him and his team in the snow. Oh, the expedition was named Terra Nova after the ship they sailed this time—in 1911. Scott had been there earlier on another ship.

Lots of stuff about preparing for the trip. Then stuff about expedition journeys once they were in Antarctica. Not very exciting—nothing about being doomed. I don’t want to write about this stuff.

Wait. The last paragraph of the first section says “For many years after his death, Scott’s status as a tragic hero was unchallenged,” but then it says that in the 20th-century people looked closer at the expedition’s management and at whether Scott and some of his team could be personally blamed for the catastrophe. That “remains controversial,” it says. Catastrophe? Personally blamed? Hmm.

Back to skimming. It all seems horrible to me. They actually planned to kill their ponies for meat, so when they actually did it, it was no surprise. Everything was extremely difficult. And then when they arrived at the South Pole, they found that the explorer Amundsen had beaten them. Must have been a big disappointment.

The homeward march was even worse. The weather got worse. The dog sleds that were supposed to meet them periodically with supplies didn’t show up. Or maybe the Scott group was lost and didn’t go to the right meeting places. Maybe that’s what that earlier statement meant about whether the decisions that were made were good ones. Scott’s diary said the crystallized snow made it seem like they were pushing and pulling the sledges through dry sand .

It says that before things turned really bad ( really bad? You’ve already had to eat your horses !), Scott allowed his men to put 30 pounds of rocks with fossils on the sledges they were pushing and dragging. Now was that sensible? The men had to push or pull those sledges themselves. What if it was those rocks that actually doomed those men?

But here it says that those rocks are the proof of continental drift. So how did they know those rocks were so important? Was that knowledge worth their lives? Could they have known?

Wow–there is drama on this page! Scott’s diary is quoted about their troubles on the expedition—the relentless cold, frostbite, and the deaths of their dogs. One entry tells of a guy on Scott’s team “now with hands as well as feet pretty well useless” voluntarily leaving the tent and walking to his death. The diary says that the team member’s last words were ”I am just going outside and may be some time.” Ha!

They all seem lost and desperate but still have those sledges. Why would you keep pulling and pushing those sledges containing an extra 30 pounds of rock when you are so desperate and every step is life or death?

Then there’s Scott’s last diary entry, on March 29, 1912. “… It seems a pity but I do not think I can write more.” Well.

That diary apparently gave lots of locations of where he thought they were but maybe they were lost. It says they ended up only 11 miles from one of their supply stations. I wonder if anybody knows how close they were to where Scott thought they were.

I’d love to see that diary. Wouldn’t that be cool? Online? I’ll Google it.

Yes! At the British museum. Look at that! I can see Scott’s last entry IN HIS OWN HANDWRITING!

Actually, if I decide to write about something that requires reading the diary, it would be easier to not have to decipher his handwriting. Wonder whether there is a typed version of it online somewhere?

Maybe I should pay attention to the early paragraph on the Terra Nova Expedition page in Wikipedia—about it being controversial whether Scott and his team made bad decisions so that they brought most of their troubles on themselves. Can I narrow my topic to just the controversy over whether bad decisions of Scott and his crew doomed them? Maybe it’s too big a topic if I consider the decisions of all team members. Maybe I should just consider Scott’s decisions.

So what research question could come from that? Maybe: how did Scott’s decisions contribute to his team’s deaths in Antarctica? But am I talking about his decisions before or after they left for Antarctica? Or the whole time they were a team? Probably too many decisions involved. More focused: How did Scott’s decisions after reaching the South Pole help or hurt the chances of his team getting back safely? That’s not bad—maybe. If people have written about that. There are several of his decisions discussed on the Wikipedia page, and I know there are sources at the bottom of that page.

Let me think—what else did I see that was interesting or puzzling about all this? I remember being surprised that Antarctica is a desert. So maybe I could make Antarctica as a desert my topic. My research question could be something like: Why is Antarctica considered a desert? But there has to be a definition of deserts somewhere online, so that doesn’t sound complicated enough. Once you know the definition of desert, you’d know the answer to the question. Professor Sanders says research questions are more complicated than regular questions.

What’s a topic I could care about? A question I really wonder about? Maybe those rocks with the fossils in them. It’s just so hard to imagine desperate explorers continuing to push those sledges with an extra 30 pounds of rocks on them. Did they somehow know how important they would be? Or were they just curious about them? Why didn’t they ditch them? Or maybe they just didn’t realize how close to death they were. Maybe I could narrow my Antarctica topic to those rocks.

Maybe my narrowed topic could be something like: The rocks that Scott and his crew found in Antarctica that prove continental drift. Maybe my research question could be: How did Scott’s explorers choose the rocks they kept?

Well, now all I have is questions about my questions. Like, is my professor going to think the question about the rocks is still about Antarctica? Or is it all about continental drift or geology or even the psychology of desperate people? And what has been written about the finding of those rocks? Will I be able to find enough sources? I’m also wondering whether my question about Scott’s decisions is too big—do I have enough time for it?

I think my professor is the only one who can tell me whether my question about the rocks has enough to do with Antarctica. Since he’s the one who will be grading my paper. But a librarian can help me figure out the other things.

So Dr. Sanders and a librarian are next.

Reflection Questions

• Was Anna’s choice to start with Wikipedia a good choice? Why or why not?
• Have you ever used that Control-F technique?
• At what points does Anna think about where to look for information?
• At the end of this session, Anna hasn’t yet settled on a research question. So what did she accomplish? What good was all this searching and thinking?

Our Answers:

• Was Anna’s choice to start with Wikipedia a good choice? Why or why not? Wikipedia is a great place to start a research project. Just make sure you move on from there, because it’s a not a good place to end up with your project. One place to move on to is the sources at the bottom of most Wikipedia pages.
• Have you ever used that Control-F technique? If you haven’t used the Control-F technique, we hope you will. It can save you a lot of time and effort reading online material.
• At what points does Anna think about where to look for information ? When she began; when she wanted to know more about the Scott expedition; when she wonders whether she could read Scott’s diary online; when she thinks about what people could answer her questions.
• At the end of this session, Anna hasn’t yet settled on a research question. So what did she accomplish? What good was all this reading and thinking? There are probably many answers to this question. Ours includes that Anna learned more about Antarctica, the subject of her research project. She focused her thinking (even if she doesn’t end up using the possible research questions she’s considering) and practiced critical thinking skills, such as when she thought about what she could be interested in, when she worked to make her potential research questions more specific, and when she figured out what questions still needed answering at the end. She also practiced her skills at making meaning from what she read, investigating a story that she didn’t expect to be there and didn’t know had the potential of being one that she is interested in. She also now knows what questions she needs answered and whom to ask. These thinking skills are what college is all about. Anna is way beyond where she was when she started.

Choosing & Using Sources: A Guide to Academic Research Copyright © 2015 by Teaching & Learning, Ohio State University Libraries is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Example sentences research topic

For the past five years--basically since the first histone acetyltransferase and histone deacetylases were found,1 acetylation has been a hot research topic .

The main research topic areas currently include mesoscale, dynamical, and applied meteorology.

Secondary research and document analysis are also employed to provide insight into the research topic .

Interaction network has become a research topic in biology in recent years due to rapid progress in high throughput data production.

Since that time, contextual performance has become an increasingly important research topic .

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Read our research on:

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• Our Methods
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Read Our Research On:

Changing Partisan Coalitions in a Politically Divided Nation

Party identification among registered voters, 1994-2023, table of contents.

• What this report tells us – and what it doesn’t
• Partisans and partisan leaners in the U.S. electorate
• Party identification and ideology
• Education and partisanship
• Education, race and partisanship
• Partisanship by race and gender
• Partisanship across educational and gender groups by race and ethnicity
• Gender and partisanship
• Parents are more Republican than voters without children
• Partisanship among men and women within age groups
• Race, age and partisanship
• The partisanship of generational cohorts
• Religion, race and ethnicity, and partisanship
• Party identification among atheists, agnostics and ‘nothing in particular’
• Partisanship and religious service attendance
• Partisanship by income groups
• The relationship between income and partisanship differs by education
• Union members remain more Democratic than Republican
• Homeowners are more Republican than renters
• Partisanship of military veterans
• Demographic differences in partisanship by community type
• Race and ethnicity
• Age and the U.S. electorate
• Education by race and ethnicity
• Religious affiliation
• Ideological composition of voters
• Acknowledgments
• Overview of survey methodologies
• The 2023 American Trends Panel profile survey methodology
• Measuring party identification across survey modes
• Adjusting telephone survey trends
• Appendix B: Religious category definitions
• Appendix C: Age cohort definitions

Pew Research Center conducted this analysis to explore partisan identification among U.S. registered voters across major demographic groups and how voters’ partisan affiliation has shifted over time. It also explores the changing composition of voters overall and the partisan coalitions.

For this analysis, we used annual totals of data from Pew Research Center telephone surveys (1994-2018) and online surveys (2019-2023) among registered voters. All telephone survey data was adjusted to account for differences in how people respond to surveys on the telephone compared with online surveys (refer to Appendix A for details).

All online survey data is from the Center’s nationally representative American Trends Panel . The surveys were conducted in both English and Spanish. Each survey is weighted to be representative of the U.S. adult population by gender, age, education, race and ethnicity and other categories. Read more about the ATP’s methodology , as well as how Pew Research Center measures many of the demographic categories used in this report .

The contours of the 2024 political landscape are the result of long-standing patterns of partisanship, combined with the profound demographic changes that have reshaped the United States over the past three decades.

Many of the factors long associated with voters’ partisanship remain firmly in place. For decades, gender, race and ethnicity, and religious affiliation have been important dividing lines in politics. This continues to be the case today.

Yet there also have been profound changes – in some cases as a result of demographic change, in others because of dramatic shifts in the partisan allegiances of key groups.

The combined effects of change and continuity have left the country’s two major parties at virtual parity: About half of registered voters (49%) identify as Democrats or lean toward the Democratic Party, while 48% identify as Republicans or lean Republican.

In recent decades, neither party has had a sizable advantage, but the Democratic Party has lost the edge it maintained from 2017 to 2021. (Explore this further in Chapter 1 . )

Pew Research Center’s comprehensive analysis of party identification among registered voters – based on hundreds of thousands of interviews conducted over the past three decades – tracks the changes in the country and the parties since 1994. Among the major findings:

The partisan coalitions are increasingly different. Both parties are more racially and ethnically diverse than in the past. However, this has had a far greater impact on the composition of the Democratic Party than the Republican Party.

The share of voters who are Hispanic has roughly tripled since the mid-1990s; the share who are Asian has increased sixfold over the same period. Today, 44% of Democratic and Democratic-leaning voters are Hispanic, Black, Asian, another race or multiracial, compared with 20% of Republicans and Republican leaners. However, the Democratic Party’s advantages among Black and Hispanic voters, in particular, have narrowed somewhat in recent years. (Explore this further in Chapter 8 .)

Education and partisanship: The share of voters with a four-year bachelor’s degree keeps increasing, reaching 40% in 2023. And the gap in partisanship between voters with and without a college degree continues to grow, especially among White voters. More than six-in-ten White voters who do not have a four-year degree (63%) associate with the Republican Party, which is up substantially over the past 15 years. White college graduates are closely divided; this was not the case in the 1990s and early 2000s, when they mostly aligned with the GOP. (Explore this further in Chapter 2 .)

Beyond the gender gap: By a modest margin, women voters continue to align with the Democratic Party (by 51% to 44%), while nearly the reverse is true among men (52% align with the Republican Party, 46% with the Democratic Party). The gender gap is about as wide among married men and women. The gap is wider among men and women who have never married; while both groups are majority Democratic, 37% of never-married men identify as Republicans or lean toward the GOP, compared with 24% of never-married women. (Explore this further in Chapter 3 .)

A divide between old and young: Today, each younger age cohort is somewhat more Democratic-oriented than the one before it. The youngest voters (those ages 18 to 24) align with the Democrats by nearly two-to-one (66% to 34% Republican or lean GOP); majorities of older voters (those in their mid-60s and older) identify as Republicans or lean Republican. While there have been wide age divides in American politics over the last two decades, this wasn’t always the case; in the 1990s there were only very modest age differences in partisanship. (Explore this further in Chapter 4 .)

Education and family income: Voters without a college degree differ substantially by income in their party affiliation. Those with middle, upper-middle and upper family incomes tend to align with the GOP. A majority with lower and lower-middle incomes identify as Democrats or lean Democratic. There are no meaningful differences in partisanship among voters with at least a four-year bachelor’s degree; across income categories, majorities of college graduate voters align with the Democratic Party. (Explore this further in Chapter 6 .)

Rural voters move toward the GOP, while the suburbs remain divided: In 2008, when Barack Obama sought his first term as president, voters in rural counties were evenly split in their partisan loyalties. Today, Republicans hold a 25 percentage point advantage among rural residents (60% to 35%). There has been less change among voters in urban counties, who are mostly Democratic by a nearly identical margin (60% to 37%). The suburbs – perennially a political battleground – remain about evenly divided. (Explore this further in Chapter 7 . )

Growing differences among religious groups: Mirroring movement in the population overall, the share of voters who are religiously unaffiliated has grown dramatically over the past 15 years. These voters, who have long aligned with the Democratic Party, have become even more Democratic over time: Today 70% identify as Democrats or lean Democratic. In contrast, Republicans have made gains among several groups of religiously affiliated voters, particularly White Catholics and White evangelical Protestants. White evangelical Protestants now align with the Republican Party by about a 70-point margin (85% to 14%). (Explore this further in Chapter 5 .)

In most cases, the partisan allegiances of voters do not change a great deal from year to year. Yet as this study shows, the long-term shifts in party identification are substantial and say a great deal about how the country – and its political parties – have changed since the 1990s.

The steadily growing alignment between demographics and partisanship reveals an important aspect of steadily growing partisan polarization. Republicans and Democrats do not just hold different beliefs and opinions about major issues , they are much more different racially, ethnically, geographically and in educational attainment than they used to be.

Yet over this period, there have been only modest shifts in overall partisan identification. Voters remain evenly divided, even as the two parties have grown further apart. The continuing close division in partisan identification among voters is consistent with the relatively narrow margins in the popular votes in most national elections over the past three decades.

Partisan identification provides a broad portrait of voters’ affinities and loyalties. But while it is indicative of voters’ preferences, it does not perfectly predict how people intend to vote in elections, or whether they will vote. In the coming months, Pew Research Center will release reports analyzing voters’ preferences in the presidential election, their engagement with the election and the factors behind candidate support.

Next year, we will release a detailed study of the 2024 election, based on validated voters from the Center’s American Trends Panel. It will examine the demographic composition and vote choices of the 2024 electorate and will provide comparisons to the 2020 and 2016 validated voter studies.

The partisan identification study is based on annual totals from surveys conducted on the Center’s American Trends Panel from 2019 to 2023 and telephone surveys conducted from 1994 to 2018. The survey data was adjusted to account for differences in how the surveys were conducted. For more information, refer to Appendix A .

Previous Pew Research Center analyses of voters’ party identification relied on telephone survey data. This report, for the first time, combines data collected in telephone surveys with data from online surveys conducted on the Center’s nationally representative American Trends Panel.

Directly comparing answers from online and telephone surveys is complex because there are differences in how questions are asked of respondents and in how respondents answer those questions. Together these differences are known as “mode effects.”

As a result of mode effects, it was necessary to adjust telephone trends for leaned party identification in order to allow for direct comparisons over time.

In this report, telephone survey data from 1994 to 2018 is adjusted to align it with online survey responses. In 2014, Pew Research Center randomly assigned respondents to answer a survey by telephone or online. The party identification data from this survey was used to calculate an adjustment for differences between survey mode, which is applied to all telephone survey data in this report.

Please refer to Appendix A for more details.

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