good research questions social science

Daria Gritsenko, PhD

Thinking with concepts, top social science questions.

Social science is the scholarly study of human society and social relationships. It is a tremendously important branch of research that examines what it means to be a social being, how individuals function together as organized groups and societies, and how they interact with each other on issues of common interest. Yet, this remains very broad to provide proper guidance to an early career researcher, as myself. In particular, a researcher en route to social impact. In order to be socially relevant, social research has to be problem-driven. I think, the most pressing problems of today are

(1) sustainability transition , incl. natural resource governance, climate change, and decoupling of well-being from consumption;

(2) intercultural conflicts , religious controversies, new sources of violence, and pathways to democracy, tolerance, equality, and peace;

(3) unbridled reliance on technology of digitalisation and automation/AI leading to individual deskilling, societal depoliticisation, new political economy of tech giants, and loss of social competences.

Yet, it does not mean that we can tackle these issues straight away. Indeed, over a century of institutionalized social research already provided us with some important insights, but as our environment changes, so do the answers.

Having asked myself this question – What are the most important questions in social science today? – I decided to search for what is being considered by the scholarly community as the most pressing questions that social scientists should tackle today, the unresolved issues that young scholars should work upon. And I found a few. I think that paying attention to the most urgent social science problems will equip us with tools to address these problems. We are free in choosing our cases, methods of analysis, and testing different theories, yet, we are indebted to the society (and tax-payers) to act at the edge of human knowledge and to be socially relevant keeping in mind the BIG picture.

One thought on “ Top social science questions ”

Greetings! Very helpful advice in this particular post! It’s the little changes that produce the most significant changes. Thanks for sharing!

Organizing Your Social Sciences Research Paper

The Research Problem/Question
Purpose of Guide
Design Flaws to Avoid
Independent and Dependent Variables
Glossary of Research Terms
Reading Research Effectively
Narrowing a Topic Idea
Broadening a Topic Idea
Extending the Timeliness of a Topic Idea
Academic Writing Style
Applying Critical Thinking
Choosing a Title
Making an Outline
Paragraph Development
Research Process Video Series
Executive Summary
The C.A.R.S. Model
Background Information
Theoretical Framework
Citation Tracking
Content Alert Services
Evaluating Sources
Primary Sources
Secondary Sources
Tiertiary Sources
Scholarly vs. Popular Publications
Qualitative Methods
Quantitative Methods
Insiderness
Using Non-Textual Elements
Limitations of the Study
Common Grammar Mistakes
Writing Concisely
Avoiding Plagiarism
Footnotes or Endnotes?
Further Readings
Generative AI and Writing
USC Libraries Tutorials and Other Guides
Bibliography

A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question. In the social and behavioral sciences, studies are most often framed around examining a problem that needs to be understood and resolved in order to improve society and the human condition.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. “Competing Paradigms in Qualitative Research.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, editors. (Thousand Oaks, CA: Sage, 1994), pp. 105-117; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

Importance of...

The purpose of a problem statement is to:

Introduce the reader to the importance of the topic being studied . The reader is oriented to the significance of the study.
Anchors the research questions, hypotheses, or assumptions to follow . It offers a concise statement about the purpose of your paper.
Place the topic into a particular context that defines the parameters of what is to be investigated.
Provide the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social sciences, the research problem establishes the means by which you must answer the "So What?" question. This declarative question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What?" question requires a commitment on your part to not only show that you have reviewed the literature, but that you have thoroughly considered the significance of the research problem and its implications applied to creating new knowledge and understanding or informing practice.

To survive the "So What" question, problem statements should possess the following attributes:

Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements; it also does include unspecific determinates like "very" or "giant"],
Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, and understood],
Identification of what would be studied, while avoiding the use of value-laden words and terms,
Identification of an overarching question or small set of questions accompanied by key factors or variables,
Identification of key concepts and terms,
Articulation of the study's conceptual boundaries or parameters or limitations,
Some generalizability in regards to applicability and bringing results into general use,
Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
Does not have unnecessary jargon or overly complex sentence constructions; and,
Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Brown, Perry J., Allen Dyer, and Ross S. Whaley. "Recreation Research—So What?" Journal of Leisure Research 5 (1973): 16-24; Castellanos, Susie. Critical Writing and Thinking. The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Selwyn, Neil. "‘So What?’…A Question that Every Journal Article Needs to Answer." Learning, Media, and Technology 39 (2014): 1-5; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518.

Structure and Writing Style

I. Types and Content

There are four general conceptualizations of a research problem in the social sciences:

Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena. This a common approach to defining a problem in the clinical social sciences or behavioral sciences.
Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe the significance of a situation, state, or existence of a specific phenomenon. This problem is often associated with revealing hidden or understudied issues.
Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate specific qualities or characteristics that may be connected in some way.

A problem statement in the social sciences should contain :

A lead-in that helps ensure the reader will maintain interest over the study,
A declaration of originality [e.g., mentioning a knowledge void or a lack of clarity about a topic that will be revealed in the literature review of prior research],
An indication of the central focus of the study [establishing the boundaries of analysis], and
An explanation of the study's significance or the benefits to be derived from investigating the research problem.

NOTE : A statement describing the research problem of your paper should not be viewed as a thesis statement that you may be familiar with from high school. Given the content listed above, a description of the research problem is usually a short paragraph in length.

II. Sources of Problems for Investigation

The identification of a problem to study can be challenging, not because there's a lack of issues that could be investigated, but due to the challenge of formulating an academically relevant and researchable problem which is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life and in society that the researcher is familiar with. These deductions from human behavior are then placed within an empirical frame of reference through research. From a theory, the researcher can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis, and hence, the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. This can be an intellectually stimulating exercise. A review of pertinent literature should include examining research from related disciplines that can reveal new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue that any single discipline may be able to provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, lawyers, business leaders, etc., offers the chance to identify practical, “real world” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Don't undervalue your everyday experiences or encounters as worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society or related to your community, your neighborhood, your family, or your personal life. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary.

Relevant Literature The selection of a research problem can be derived from a thorough review of pertinent research associated with your overall area of interest. This may reveal where gaps exist in understanding a topic or where an issue has been understudied. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied in a different context or to different study sample [i.e., different setting or different group of people]. Also, authors frequently conclude their studies by noting implications for further research; read the conclusion of pertinent studies because statements about further research can be a valuable source for identifying new problems to investigate. The fact that a researcher has identified a topic worthy of further exploration validates the fact it is worth pursuing.

III. What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1. Compelling Topic The problem chosen should be one that motivates you to address it but simple curiosity is not a good enough reason to pursue a research study because this does not indicate significance. The problem that you choose to explore must be important to you, but it must also be viewed as important by your readers and to a the larger academic and/or social community that could be impacted by the results of your study. 2. Supports Multiple Perspectives The problem must be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. 3. Researchability This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian !

NOTE: Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation. In short, a research topic is something to be understood; a research problem is something that needs to be investigated.

IV. Asking Analytical Questions about the Research Problem

Research problems in the social and behavioral sciences are often analyzed around critical questions that must be investigated. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
Provokes meaningful thought or discussion;
Raises the visibility of the key ideas or concepts that may be understudied or hidden;
Suggests the need for complex analysis or argument rather than a basic description or summary; and,
Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE: Questions of how and why concerning a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation and helps define the scope of the study in relation to the problem.

V. Mistakes to Avoid

Beware of circular reasoning! Do not state the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following, "The problem in this community is that there is no hospital," this only leads to a research problem where:

The need is for a hospital
The objective is to create a hospital
The method is to plan for building a hospital, and
The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test . In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., perhaps there's a hospital in the community ten miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community ten miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital, but it was conducted ten years ago]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].

Alvesson, Mats and Jörgen Sandberg. “Generating Research Questions Through Problematization.” Academy of Management Review 36 (April 2011): 247-271 ; Choosing and Refining Topics. Writing@CSU. Colorado State University; D'Souza, Victor S. "Use of Induction and Deduction in Research in Social Sciences: An Illustration." Journal of the Indian Law Institute 24 (1982): 655-661; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question. The Writing Center. George Mason University; Invention: Developing a Thesis Statement. The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation. The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements. University College Writing Centre. University of Toronto; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006; Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Walk, Kerry. Asking an Analytical Question. [Class handout or worksheet]. Princeton University; White, Patrick. Developing Research Questions: A Guide for Social Scientists . New York: Palgrave McMillan, 2009; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

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9 9. Writing your research question

Chapter outline.

Empirical vs. ethical questions (4 minute read)
Characteristics of a good research question (4 minute read)
Quantitative research questions (7 minute read)
Qualitative research questions (3 minute read)
Evaluating and updating your research questions (4 minute read)

Content warning: examples in this chapter include references to sexual violence, sexism, substance use disorders, homelessness, domestic violence, the child welfare system, cissexism and heterosexism, and truancy and school discipline.

9.1 Empirical vs. ethical questions

Learning objectives.

Learners will be able to…

Define empirical questions and provide an example
Define ethical questions and provide an example

Writing a good research question is an art and a science. It is a science because you have to make sure it is clear, concise, and well-developed. It is an art because often your language needs “wordsmithing” to perfect and clarify the meaning. This is an exciting part of the research process; however, it can also be one of the most stressful.

Creating a good research question begins by identifying a topic you are interested in studying. At this point, you already have a working question. You’ve been applying it to the exercises in each chapter, and after reading more about your topic in the scholarly literature, you’ve probably gone back and revised your working question a few times. We’re going to continue that process in more detail in this chapter. Keep in mind that writing research questions is an iterative process, with revisions happening week after week until you are ready to start your project.

Empirical vs. ethical questions

When it comes to research questions, social science is best equipped to answer empirical questions —those that can be answered by real experience in the real world—as opposed to ethical questions —questions about which people have moral opinions and that may not be answerable in reference to the real world. While social workers have explicit ethical obligations (e.g., service, social justice), research projects ask empirical questions to help actualize and support the work of upholding those ethical principles.

In order to help you better understand the difference between ethical and empirical questions, let’s consider a topic about which people have moral opinions. How about SpongeBob SquarePants? [1] In early 2005, members of the conservative Christian group Focus on the Family (2005) [2] denounced this seemingly innocuous cartoon character as “morally offensive” because they perceived his character to be one that promotes a “pro-gay agenda.” Focus on the Family supported their claim that SpongeBob is immoral by citing his appearance in a children’s video designed to promote tolerance of all family forms (BBC News, 2005). [3] They also cited SpongeBob’s regular hand-holding with his male sidekick Patrick as further evidence of his immorality.

So, can we now conclude that SpongeBob SquarePants is immoral? Not so fast. While your mother or a newspaper or television reporter may provide an answer, a social science researcher cannot. Questions of morality are ethical, not empirical. Of course, this doesn’t mean that social science researchers cannot study opinions about or social meanings surrounding SpongeBob SquarePants (Carter, 2010). [4] We study humans after all, and as you will discover in the following chapters of this textbook, we are trained to utilize a variety of scientific data-collection techniques to understand patterns of human beliefs and behaviors. Using these techniques, we could find out how many people in the United States find SpongeBob morally reprehensible, but we could never learn, empirically, whether SpongeBob is in fact morally reprehensible.

Let’s consider an example from a recent MSW research class I taught. A student group wanted to research the penalties for sexual assault. Their original research question was: “How can prison sentences for sexual assault be so much lower than the penalty for drug possession?” Outside of the research context, that is a darn good question! It speaks to how the War on Drugs and the patriarchy have distorted the criminal justice system towards policing of drug crimes over gender-based violence.

Unfortunately, it is an ethical question, not an empirical one. To answer that question, you would have to draw on philosophy and morality, answering what it is about human nature and society that allows such unjust outcomes. However, you could not answer that question by gathering data about people in the real world. If I asked people that question, they would likely give me their opinions about drugs, gender-based violence, and the criminal justice system. But I wouldn’t get the real answer about why our society tolerates such an imbalance in punishment.

As the students worked on the project through the semester, they continued to focus on the topic of sexual assault in the criminal justice system. Their research question became more empirical because they read more empirical articles about their topic. One option that they considered was to evaluate intervention programs for perpetrators of sexual assault to see if they reduced the likelihood of committing sexual assault again. Another option they considered was seeing if counties or states with higher than average jail sentences for sexual assault perpetrators had lower rates of re-offense for sexual assault. These projects addressed the ethical question of punishing perpetrators of sexual violence but did so in a way that gathered and analyzed empirical real-world data. Our job as social work researchers is to gather social facts about social work issues, not to judge or determine morality.

Key Takeaways

Empirical questions are distinct from ethical questions.
There are usually a number of ethical questions and a number of empirical questions that could be asked about any single topic.
While social workers may research topics about which people have moral opinions, a researcher’s job is to gather and analyze empirical data.
Take a look at your working question. Make sure you have an empirical question, not an ethical one. To perform this check, describe how you could find an answer to your question by conducting a study, like a survey or focus group, with real people.

9.2 Characteristics of a good research question

Identify and explain the key features of a good research question
Explain why it is important for social workers to be focused and clear with the language they use in their research questions

Now that you’ve made sure your working question is empirical, you need to revise that working question into a formal research question. So, what makes a good research question? First, it is generally written in the form of a question. To say that your research question is “the opioid epidemic” or “animal assisted therapy” or “oppression” would not be correct. You need to frame your topic as a question, not a statement. A good research question is also one that is well-focused. A well-focused question helps you tune out irrelevant information and not try to answer everything about the world all at once. You could be the most eloquent writer in your class, or even in the world, but if the research question about which you are writing is unclear, your work will ultimately lack direction.

In addition to being written in the form of a question and being well-focused, a good research question is one that cannot be answered with a simple yes or no. For example, if your interest is in gender norms, you could ask, “Does gender affect a person’s performance of household tasks?” but you will have nothing left to say once you discover your yes or no answer. Instead, why not ask, about the relationship between gender and household tasks. Alternatively, maybe we are interested in how or to what extent gender affects a person’s contributions to housework in a marriage? By tweaking your question in this small way, you suddenly have a much more fascinating question and more to say as you attempt to answer it.

A good research question should also have more than one plausible answer. In the example above, the student who studied the relationship between gender and household tasks had a specific interest in the impact of gender, but she also knew that preferences might be impacted by other factors. For example, she knew from her own experience that her more traditional and socially conservative friends were more likely to see household tasks as part of the female domain, and were less likely to expect their male partners to contribute to those tasks. Thinking through the possible relationships between gender, culture, and household tasks led that student to realize that there were many plausible answers to her questions about how gender affects a person’s contribution to household tasks. Because gender doesn’t exist in a vacuum, she wisely felt that she needed to consider other characteristics that work together with gender to shape people’s behaviors, likes, and dislikes. By doing this, the student considered the third feature of a good research question–she thought about relationships between several concepts. While she began with an interest in a single concept—household tasks—by asking herself what other concepts (such as gender or political orientation) might be related to her original interest, she was able to form a question that considered the relationships among those concepts.

This student had one final component to consider. Social work research questions must contain a target population. Her study would be very different if she were to conduct it on older adults or immigrants who just arrived in a new country. The target population is the group of people whose needs your study addresses. Maybe the student noticed issues with household tasks as part of her social work practice with first-generation immigrants, and so she made it her target population. Maybe she wants to address the needs of another community. Whatever the case, the target population should be chosen while keeping in mind social work’s responsibility to work on behalf of marginalized and oppressed groups.

In sum, a good research question generally has the following features:

It is written in the form of a question
It is clearly written
It cannot be answered with “yes” or “no”
It has more than one plausible answer
It considers relationships among multiple variables
It is specific and clear about the concepts it addresses
It includes a target population
A poorly focused research question can lead to the demise of an otherwise well-executed study.
Research questions should be clearly worded, consider relationships between multiple variables, have more than one plausible answer, and address the needs of a target population.

Okay, it’s time to write out your first draft of a research question.

Once you’ve done so, take a look at the checklist in this chapter and see if your research question meets the criteria to be a good one.

Brainstorm whether your research question might be better suited to quantitative or qualitative methods.

Describe why your question fits better with quantitative or qualitative methods.
Provide an alternative research question that fits with the other type of research method.

9.3 Quantitative research questions

Describe how research questions for exploratory, descriptive, and explanatory quantitative questions differ and how to phrase them
Identify the differences between and provide examples of strong and weak explanatory research questions

Quantitative descriptive questions

The type of research you are conducting will impact the research question that you ask. Probably the easiest questions to think of are quantitative descriptive questions. For example, “What is the average student debt load of MSW students?” is a descriptive question—and an important one. We aren’t trying to build a causal relationship here. We’re simply trying to describe how much debt MSW students carry. Quantitative descriptive questions like this one are helpful in social work practice as part of community scans, in which human service agencies survey the various needs of the community they serve. If the scan reveals that the community requires more services related to housing, child care, or day treatment for people with disabilities, a nonprofit office can use the community scan to create new programs that meet a defined community need.

Quantitative descriptive questions will often ask for percentage, count the number of instances of a phenomenon, or determine an average. Descriptive questions may only include one variable, such as ours about student debt load, or they may include multiple variables. Because these are descriptive questions, our purpose is not to investigate causal relationships between variables. To do that, we need to use a quantitative explanatory question.

Quantitative explanatory questions

Most studies you read in the academic literature will be quantitative and explanatory. Why is that? If you recall from Chapter 2 , explanatory research tries to build nomothetic causal relationships. They are generalizable across space and time, so they are applicable to a wide audience. The editorial board of a journal wants to make sure their content will be useful to as many people as possible, so it’s not surprising that quantitative research dominates the academic literature.

Structurally, quantitative explanatory questions must contain an independent variable and dependent variable. Questions should ask about the relationship between these variables. The standard format I was taught in graduate school for an explanatory quantitative research question is: “What is the relationship between [independent variable] and [dependent variable] for [target population]?” You should play with the wording for your research question, revising that standard format to match what you really want to know about your topic.

Let’s take a look at a few more examples of possible research questions and consider the relative strengths and weaknesses of each. Table 9.1 does just that. While reading the table, keep in mind that I have only noted what I view to be the most relevant strengths and weaknesses of each question. Certainly each question may have additional strengths and weaknesses not noted in the table. Each of these questions is drawn from student projects in my research methods classes and reflects the work of many students on their research question over many weeks.

Making it more specific

A good research question should also be specific and clear about the concepts it addresses. A student investigating gender and household tasks knows what they mean by “household tasks.” You likely also have an impression of what “household tasks” means. But are your definition and the student’s definition the same? A participant in their study may think that managing finances and performing home maintenance are household tasks, but the researcher may be interested in other tasks like childcare or cleaning. The only way to ensure your study stays focused and clear is to be specific about what you mean by a concept. The student in our example could pick a specific household task that was interesting to them or that the literature indicated was important—for example, childcare. Or, the student could have a broader view of household tasks, one that encompasses childcare, food preparation, financial management, home repair, and care for relatives. Any option is probably okay, as long as the researcher is clear on what they mean by “household tasks.” Clarifying these distinctions is important as we look ahead to specifying how your variables will be measured in Chapter 11 .

Table 9.2 contains some “watch words” that indicate you may need to be more specific about the concepts in your research question.

It can be challenging to be this specific in social work research, particularly when you are just starting out your project and still reading the literature. If you’ve only read one or two articles on your topic, it can be hard to know what you are interested in studying. Broad questions like “What are the causes of chronic homelessness, and what can be done to prevent it?” are common at the beginning stages of a research project as working questions. However, moving from working questions to research questions in your research proposal requires that you examine the literature on the topic and refine your question over time to be more specific and clear. Perhaps you want to study the effect of a specific anti-homelessness program that you found in the literature. Maybe there is a particular model to fighting homelessness, like Housing First or transitional housing, that you want to investigate further. You may want to focus on a potential cause of homelessness such as LGBTQ+ discrimination that you find interesting or relevant to your practice. As you can see, the possibilities for making your question more specific are almost infinite.

Quantitative exploratory questions

In exploratory research, the researcher doesn’t quite know the lay of the land yet. If someone is proposing to conduct an exploratory quantitative project, the watch words highlighted in Table 9.2 are not problematic at all. In fact, questions such as “What factors influence the removal of children in child welfare cases?” are good because they will explore a variety of factors or causes. In this question, the independent variable is less clearly written, but the dependent variable, family preservation outcomes, is quite clearly written. The inverse can also be true. If we were to ask, “What outcomes are associated with family preservation services in child welfare?”, we would have a clear independent variable, family preservation services, but an unclear dependent variable, outcomes. Because we are only conducting exploratory research on a topic, we may not have an idea of what concepts may comprise our “outcomes” or “factors.” Only after interacting with our participants will we be able to understand which concepts are important.

Remember that exploratory research is appropriate only when the researcher does not know much about topic because there is very little scholarly research. In our examples above, there is extensive literature on the outcomes in family reunification programs and risk factors for child removal in child welfare. Make sure you’ve done a thorough literature review to ensure there is little relevant research to guide you towards a more explanatory question.

Descriptive quantitative research questions are helpful for community scans but cannot investigate causal relationships between variables.
Explanatory quantitative research questions must include an independent and dependent variable.
Exploratory quantitative research questions should only be considered when there is very little previous research on your topic.
Identify the type of research you are engaged in (descriptive, explanatory, or exploratory).
Create a quantitative research question for your project that matches with the type of research you are engaged in.

Preferably, you should be creating an explanatory research question for quantitative research.

9.4 Qualitative research questions

List the key terms associated with qualitative research questions
Distinguish between qualitative and quantitative research questions

Qualitative research questions differ from quantitative research questions. Because qualitative research questions seek to explore or describe phenomena, not provide a neat nomothetic explanation, they are often more general and openly worded. They may include only one concept, though many include more than one. Instead of asking how one variable causes changes in another, we are instead trying to understand the experiences , understandings , and meanings that people have about the concepts in our research question. These keywords often make an appearance in qualitative research questions.

Let’s work through an example from our last section. In Table 9.1, a student asked, “What is the relationship between sexual orientation or gender identity and homelessness for late adolescents in foster care?” In this question, it is pretty clear that the student believes that adolescents in foster care who identify as LGBTQ+ may be at greater risk for homelessness. This is a nomothetic causal relationship—LGBTQ+ status causes changes in homelessness.

However, what if the student were less interested in predicting homelessness based on LGBTQ+ status and more interested in understanding the stories of foster care youth who identify as LGBTQ+ and may be at risk for homelessness? In that case, the researcher would be building an idiographic causal explanation . The youths whom the researcher interviews may share stories of how their foster families, caseworkers, and others treated them. They may share stories about how they thought of their own sexuality or gender identity and how it changed over time. They may have different ideas about what it means to transition out of foster care.

Because qualitative questions usually center on idiographic causal relationships, they look different than quantitative questions. Table 9.3 below takes the final research questions from Table 9.1 and adapts them for qualitative research. The guidelines for research questions previously described in this chapter still apply, but there are some new elements to qualitative research questions that are not present in quantitative questions.

Qualitative research questions often ask about lived experience, personal experience, understanding, meaning, and stories.
Qualitative research questions may be more general and less specific.
Qualitative research questions may also contain only one variable, rather than asking about relationships between multiple variables.

Qualitative research questions have one final feature that distinguishes them from quantitative research questions: they can change over the course of a study. Qualitative research is a reflexive process, one in which the researcher adapts their approach based on what participants say and do. The researcher must constantly evaluate whether their question is important and relevant to the participants. As the researcher gains information from participants, it is normal for the focus of the inquiry to shift.

For example, a qualitative researcher may want to study how a new truancy rule impacts youth at risk of expulsion. However, after interviewing some of the youth in their community, a researcher might find that the rule is actually irrelevant to their behavior and thoughts. Instead, their participants will direct the discussion to their frustration with the school administrators or the lack of job opportunities in the area. This is a natural part of qualitative research, and it is normal for research questions and hypothesis to evolve based on information gleaned from participants.

However, this reflexivity and openness unacceptable in quantitative research for good reasons. Researchers using quantitative methods are testing a hypothesis, and if they could revise that hypothesis to match what they found, they could never be wrong! Indeed, an important component of open science and reproducability is the preregistration of a researcher’s hypotheses and data analysis plan in a central repository that can be verified and replicated by reviewers and other researchers. This interactive graphic from 538 shows how an unscrupulous research could come up with a hypothesis and theoretical explanation after collecting data by hunting for a combination of factors that results in a statistically significant relationship. This is an excellent example of how the positivist assumptions behind quantitative research and intepretivist assumptions behind qualitative research result in different approaches to social science.

Qualitative research questions often contain words or phrases like “lived experience,” “personal experience,” “understanding,” “meaning,” and “stories.”
Qualitative research questions can change and evolve over the course of the study.
Using the guidance in this chapter, write a qualitative research question. You may want to use some of the keywords mentioned above.

9.5 Evaluating and updating your research questions

Evaluate the feasibility and importance of your research questions
Begin to match your research questions to specific designs that determine what the participants in your study will do

Feasibility and importance

As you are getting ready to finalize your research question and move into designing your research study, it is important to check whether your research question is feasible for you to answer and what importance your results will have in the community, among your participants, and in the scientific literature

Key questions to consider when evaluating your question’s feasibility include:

Do you have access to the data you need?
Will you be able to get consent from stakeholders, gatekeepers, and others?
Does your project pose risk to individuals through direct harm, dual relationships, or breaches in confidentiality? (see Chapter 6 for more ethical considerations)
Are you competent enough to complete the study?
Do you have the resources and time needed to carry out the project?

Key questions to consider when evaluating the importance of your question include:

Can we answer your research question simply by looking at the literature on your topic?
How does your question add something new to the scholarly literature? (raises a new issue, addresses a controversy, studies a new population, etc.)
How will your target population benefit, once you answer your research question?
How will the community, social work practice, and the broader social world benefit, once you answer your research question?
Using the questions above, check whether you think your project is feasible for you to complete, given the constrains that student projects face.
Realistically, explore the potential impact of your project on the community and in the scientific literature. Make sure your question cannot be answered by simply reading more about your topic.

Matching your research question and study design

This chapter described how to create a good quantitative and qualitative research question. In Parts 3 and 4 of this textbook, we will detail some of the basic designs like surveys and interviews that social scientists use to answer their research questions. But which design should you choose?

As with most things, it all depends on your research question. If your research question involves, for example, testing a new intervention, you will likely want to use an experimental design. On the other hand, if you want to know the lived experience of people in a public housing building, you probably want to use an interview or focus group design.

We will learn more about each one of these designs in the remainder of this textbook. We will also learn about using data that already exists, studying an individual client inside clinical practice, and evaluating programs, which are other examples of designs. Below is a list of designs we will cover in this textbook:

Surveys: online, phone, mail, in-person
Experiments: classic, pre-experiments, quasi-experiments
Interviews: in-person or via phone or videoconference
Focus groups: in-person or via videoconference
Content analysis of existing data
Secondary data analysis of another researcher’s data
Program evaluation

The design of your research study determines what you and your participants will do. In an experiment, for example, the researcher will introduce a stimulus or treatment to participants and measure their responses. In contrast, a content analysis may not have participants at all, and the researcher may simply read the marketing materials for a corporation or look at a politician’s speeches to conduct the data analysis for the study.

I imagine that a content analysis probably seems easier to accomplish than an experiment. However, as a researcher, you have to choose a research design that makes sense for your question and that is feasible to complete with the resources you have. All research projects require some resources to accomplish. Make sure your design is one you can carry out with the resources (time, money, staff, etc.) that you have.

There are so many different designs that exist in the social science literature that it would be impossible to include them all in this textbook. The purpose of the subsequent chapters is to help you understand the basic designs upon which these more advanced designs are built. As you learn more about research design, you will likely find yourself revising your research question to make sure it fits with the design. At the same time, your research question as it exists now should influence the design you end up choosing. There is no set order in which these should happen. Instead, your research project should be guided by whether you can feasibly carry it out and contribute new and important knowledge to the world.

Research questions must be feasible and important.
Research questions must match study design.
Based on what you know about designs like surveys, experiments, and interviews, describe how you might use one of them to answer your research question.
You may want to refer back to Chapter 2 which discusses how to get raw data about your topic and the common designs used in student research projects.
Not familiar with SpongeBob SquarePants? You can learn more about him on Nickelodeon’s site dedicated to all things SpongeBob: http://www.nick.com/spongebob-squarepants/ ↵
Focus on the Family. (2005, January 26). Focus on SpongeBob. Christianity Today . Retrieved from http://www.christianitytoday.com/ct/2005/januaryweb-only/34.0c.html ↵
BBC News. (2005, January 20). US right attacks SpongeBob video. Retrieved from: http://news.bbc.co.uk/2/hi/americas/4190699.stm ↵
In fact, an MA thesis examines representations of gender and relationships in the cartoon: Carter, A. C. (2010). Constructing gender and relationships in “SpongeBob SquarePants”: Who lives in a pineapple under the sea . MA thesis, Department of Communication, University of South Alabama, Mobile, AL. ↵

research questions that can be answered by systematically observing the real world

unsuitable research questions which are not answerable by systematic observation of the real world but instead rely on moral or philosophical opinions

the group of people whose needs your study addresses

attempts to explain or describe your phenomenon exhaustively, based on the subjective understandings of your participants

"Assuming that the null hypothesis is true and the study is repeated an infinite number times by drawing random samples from the same populations(s), less than 5% of these results will be more extreme than the current result" (Cassidy et al., 2019, p. 233).

whether you can practically and ethically complete the research project you propose

the impact your study will have on participants, communities, scientific knowledge, and social justice

Graduate research methods in social work Copyright © 2021 by Matthew DeCarlo, Cory Cummings, Kate Agnelli is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Social/Behavioral Sciences Research Guide

Research Question

This InfoGuide assists students starting their research proposal and literature review.

Introduction
Research Process
Types of Research Methodology
Data Collection Methods
Anatomy of a Scholarly Article
Finding a topic
Identifying a Research Problem
Problem Statement
Research Design
Search Strategies
Psychology Database Limiters
Literature Review Search
Annotated Bibliography
Writing a Literature Review
Writing a Research Proposal

A research question pinpoints exactly what you want to discover in your work. A good research question is essential to guide your research paper.

All research questions should be:

Focused on a single problem or issue
Researchable using primary and/or secondary sources
Feasible to answer within the timeframe and practical constraints
Specific enough to answer thoroughly
Complex enough to develop the answer over the space of a paper or thesis
Relevant to your field of study and/or society more broadly

You will usually write a single research question to guide your progress in a research paper. Your answer then forms your thesis statement—the central assertion or position that your paper will argue for.

You can follow these steps to develop a strong research question:

Choose your topic
Do some preliminary reading about the current state of the field
Narrow your focus to a specific niche
Identify the research problem that you will address

Research questions anchor your whole project, so it’s important to refine them. The criteria below can help you evaluate the strength of your research question.

Research Objectives & Question Formulations

What are the characteristics of X?
How has X changed over time?
What are the causes of X?
How has X dealt with Y?
What is the relationship between X and Y?
What is the role of X in Y?
What is the impact of X on Y?
How does X influence Y?
What are the advantages and disadvantages of X?
How effective is X ?
How can X be improved?

Criteria & Explanation 1

Criteria & explanation 3: your research question is complex and arguable, example research problem & question, criteria & explanation 2: your research question is feasible and specific, criteria & explanation 4: your research question should be relevant and original..

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Chapter 3: Developing a Research Question

3.3 Developing a Researchable Research Question

After thinking about what topics interest you, identifying a topic that is both empirical and sociological, and deciding whether your research will be exploratory, descriptive, or explanatory, the next step is to form a research question about your topic. For many researchers, forming hypotheses comes after developing one’s research question. However, for now, we will just think about research questions.

So then, what makes a good research question? Let us first consider some practical aspects. A good research question is one that:

you are interested in;
you have resources (money, technology, assistance, etc.) to answer;
offers you access to the data you need (human, animal or numerical/ file data);
is operationalized appropriately; and
has a specific objective (anything from explaining something to describing something).

A good research question also has some specific characteristics:

It is generally written in the form of a question.
It is well-focused.
It cannot be answered with a simple yes or no.
It should have more than one plausible answer.
It considers relationships amongst multiple concepts.

Generally speaking, your research question will guide whether your research project is best approached with quantitative, qualitative, or mixed methods, or other1 approaches. Table 3.2 provides some examples of problematic research questions and suggestions for how to improve each research question.

Table 3.2. Problematic and improved research question

In Chapter 8, we look at designing survey questions, which are not to be confused with research questions.

Research Methods for the Social Sciences: An Introduction Copyright © 2020 by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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8.3: Quantitative research questions

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Matthew DeCarlo
Radford University via Open Social Work Education

Learning Objectives

Describe how research questions for exploratory, descriptive, and explanatory quantitative questions differ and how to phrase them
Identify the differences between and provide examples of strong and weak explanatory research questions

Quantitative descriptive questions

Quantitative descriptive questions will often ask for percentage, count the number of instances of a phenomenon, or determine an average. Descriptive questions may only include one variable, such as ours about debt load, or they may include multiple variables. Because these are descriptive questions, we cannot investigate causal relationships between variables. To do that, we need to use a quantitative explanatory question.

Quantitative explanatory questions

Most studies you read in the academic literature will be quantitative and explanatory. Why is that? If you recall from Chapter 7, explanatory research tries to build nomothetic causal relationships. They are generalizable across space and time, so they are applicable to a wide audience. The editorial board of a journal wants to make sure their content will be useful to as many people as possible, so it’s not surprising that quantitative research dominates the academic literature.

Structurally, quantitative explanatory questions must contain an independent variable and dependent variable. Questions should ask about the relationship between these variables. My standard format for an explanatory quantitative research question is: “What is the relationship between [independent variable] and [dependent variable] for [target population]?” You should play with the wording for your research question, revising it as you see fit. The goal is to make the research question reflect what you really want to know in your study.

Let’s take a look at a few more examples of possible research questions and consider the relative strengths and weaknesses of each. Table 8.1 does just that. While reading the table, keep in mind that I have only noted what I view to be the most relevant strengths and weaknesses of each question. Certainly each question may have additional strengths and weaknesses not noted in the table.

Making it more specific

Table 8.2 contains some “watch words” that indicate you may need to be more specific about the concepts in your research question.

It can be challenging in social work research to be this specific, particularly when you are just starting out your investigation of the topic. If you’ve only read one or two articles on the topic, it can be hard to know what you are interested in studying. Broad questions like “What are the causes of chronic homelessness, and what can be done to prevent it?” are common at the beginning stages of a research project. However, social work research demands that you examine the literature on the topic and refine your question over time to be more specific and clear before you begin your study. Perhaps you want to study the effect of a specific anti-homelessness program that you found in the literature. Maybe there is a particular model to fighting homelessness, like Housing First or transitional housing that you want to investigate further. You may want to focus on a potential cause of homelessness such as LGBTQ discrimination that you find interesting or relevant to your practice. As you can see, the possibilities for making your question more specific are almost infinite.

Quantitative exploratory questions

In exploratory research, the researcher doesn’t quite know the lay of the land yet. If someone is proposing to conduct an exploratory quantitative project, the watch words highlighted in Table 8.2 are not problematic at all. In fact, questions such as “What factors influence the removal of children in child welfare cases?” are good because they will explore a variety of factors or causes. In this question, the independent variable is less clearly written, but the dependent variable, family preservation outcomes, is quite clearly written. The inverse can also be true. If we were to ask, “What outcomes are associated with family preservation services in child welfare?”, we would have a clear independent variable, family preservation services, but an unclear dependent variable, outcomes. Because we are only conducting exploratory research on a topic, we may not have an idea of what concepts may comprise our “outcomes” or “factors.” Only after interacting with our participants will we be able to understand which concepts are important.

Key Takeaways

Quantitative descriptive questions are helpful for community scans but cannot investigate causal relationships between variables.
Quantitative explanatory questions must include an independent and dependent variable.

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Research Questions & Hypotheses

Generally, in quantitative studies, reviewers expect hypotheses rather than research questions. However, both research questions and hypotheses serve different purposes and can be beneficial when used together.

Research Questions

Clarify the research’s aim (farrugia et al., 2010).

Research often begins with an interest in a topic, but a deep understanding of the subject is crucial to formulate an appropriate research question.
Descriptive: “What factors most influence the academic achievement of senior high school students?”
Comparative: “What is the performance difference between teaching methods A and B?”
Relationship-based: “What is the relationship between self-efficacy and academic achievement?”
Increasing knowledge about a subject can be achieved through systematic literature reviews, in-depth interviews with patients (and proxies), focus groups, and consultations with field experts.
Some funding bodies, like the Canadian Institute for Health Research, recommend conducting a systematic review or a pilot study before seeking grants for full trials.
The presence of multiple research questions in a study can complicate the design, statistical analysis, and feasibility.
It’s advisable to focus on a single primary research question for the study.
The primary question, clearly stated at the end of a grant proposal’s introduction, usually specifies the study population, intervention, and other relevant factors.
The FINER criteria underscore aspects that can enhance the chances of a successful research project, including specifying the population of interest, aligning with scientific and public interest, clinical relevance, and contribution to the field, while complying with ethical and national research standards.
The P ICOT approach is crucial in developing the study’s framework and protocol, influencing inclusion and exclusion criteria and identifying patient groups for inclusion.
Defining the specific population, intervention, comparator, and outcome helps in selecting the right outcome measurement tool.
The more precise the population definition and stricter the inclusion and exclusion criteria, the more significant the impact on the interpretation, applicability, and generalizability of the research findings.
A restricted study population enhances internal validity but may limit the study’s external validity and generalizability to clinical practice.
A broadly defined study population may better reflect clinical practice but could increase bias and reduce internal validity.
An inadequately formulated research question can negatively impact study design, potentially leading to ineffective outcomes and affecting publication prospects.

Checklist: Good research questions for social science projects (Panke, 2018)

Research Hypotheses

Present the researcher’s predictions based on specific statements.

These statements define the research problem or issue and indicate the direction of the researcher’s predictions.
Formulating the research question and hypothesis from existing data (e.g., a database) can lead to multiple statistical comparisons and potentially spurious findings due to chance.
The research or clinical hypothesis, derived from the research question, shapes the study’s key elements: sampling strategy, intervention, comparison, and outcome variables.
Hypotheses can express a single outcome or multiple outcomes.
After statistical testing, the null hypothesis is either rejected or not rejected based on whether the study’s findings are statistically significant.
Hypothesis testing helps determine if observed findings are due to true differences and not chance.
Hypotheses can be 1-sided (specific direction of difference) or 2-sided (presence of a difference without specifying direction).
2-sided hypotheses are generally preferred unless there’s a strong justification for a 1-sided hypothesis.
A solid research hypothesis, informed by a good research question, influences the research design and paves the way for defining clear research objectives.

Types of Research Hypothesis

In a Y-centered research design, the focus is on the dependent variable (DV) which is specified in the research question. Theories are then used to identify independent variables (IV) and explain their causal relationship with the DV.
Example: “An increase in teacher-led instructional time (IV) is likely to improve student reading comprehension scores (DV), because extensive guided practice under expert supervision enhances learning retention and skill mastery.”
Hypothesis Explanation: The dependent variable (student reading comprehension scores) is the focus, and the hypothesis explores how changes in the independent variable (teacher-led instructional time) affect it.
In X-centered research designs, the independent variable is specified in the research question. Theories are used to determine potential dependent variables and the causal mechanisms at play.
Example: “Implementing technology-based learning tools (IV) is likely to enhance student engagement in the classroom (DV), because interactive and multimedia content increases student interest and participation.”
Hypothesis Explanation: The independent variable (technology-based learning tools) is the focus, with the hypothesis exploring its impact on a potential dependent variable (student engagement).
Probabilistic hypotheses suggest that changes in the independent variable are likely to lead to changes in the dependent variable in a predictable manner, but not with absolute certainty.
Example: “The more teachers engage in professional development programs (IV), the more their teaching effectiveness (DV) is likely to improve, because continuous training updates pedagogical skills and knowledge.”
Hypothesis Explanation: This hypothesis implies a probable relationship between the extent of professional development (IV) and teaching effectiveness (DV).
Deterministic hypotheses state that a specific change in the independent variable will lead to a specific change in the dependent variable, implying a more direct and certain relationship.
Example: “If the school curriculum changes from traditional lecture-based methods to project-based learning (IV), then student collaboration skills (DV) are expected to improve because project-based learning inherently requires teamwork and peer interaction.”
Hypothesis Explanation: This hypothesis presumes a direct and definite outcome (improvement in collaboration skills) resulting from a specific change in the teaching method.
Example : “Students who identify as visual learners will score higher on tests that are presented in a visually rich format compared to tests presented in a text-only format.”
Explanation : This hypothesis aims to describe the potential difference in test scores between visual learners taking visually rich tests and text-only tests, without implying a direct cause-and-effect relationship.
Example : “Teaching method A will improve student performance more than method B.”
Explanation : This hypothesis compares the effectiveness of two different teaching methods, suggesting that one will lead to better student performance than the other. It implies a direct comparison but does not necessarily establish a causal mechanism.
Example : “Students with higher self-efficacy will show higher levels of academic achievement.”
Explanation : This hypothesis predicts a relationship between the variable of self-efficacy and academic achievement. Unlike a causal hypothesis, it does not necessarily suggest that one variable causes changes in the other, but rather that they are related in some way.

Tips for developing research questions and hypotheses for research studies

Perform a systematic literature review (if one has not been done) to increase knowledge and familiarity with the topic and to assist with research development.
Learn about current trends and technological advances on the topic.
Seek careful input from experts, mentors, colleagues, and collaborators to refine your research question as this will aid in developing the research question and guide the research study.
Use the FINER criteria in the development of the research question.
Ensure that the research question follows PICOT format.
Develop a research hypothesis from the research question.
Ensure that the research question and objectives are answerable, feasible, and clinically relevant.

If your research hypotheses are derived from your research questions, particularly when multiple hypotheses address a single question, it’s recommended to use both research questions and hypotheses. However, if this isn’t the case, using hypotheses over research questions is advised. It’s important to note these are general guidelines, not strict rules. If you opt not to use hypotheses, consult with your supervisor for the best approach.

Farrugia, P., Petrisor, B. A., Farrokhyar, F., & Bhandari, M. (2010). Practical tips for surgical research: Research questions, hypotheses and objectives. Canadian journal of surgery. Journal canadien de chirurgie , 53 (4), 278–281.

Hulley, S. B., Cummings, S. R., Browner, W. S., Grady, D., & Newman, T. B. (2007). Designing clinical research. Philadelphia.

Panke, D. (2018). Research design & method selection: Making good choices in the social sciences. Research Design & Method Selection , 1-368.

Harvard Library
Research Guides
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ALM Research Guide: Social Sciences Edition

Finding a Researchable Question
Ways To Set Yourself Up For Success

What's Known Already?

What are current trends and questions, how do i prioritize my reading.

Cross-Disciplinary Databases
Subject Databases
Methodology Sources
Next Steps: Experts and Expert Guidance

Handbooks and companions are typically edited volumes, with chapters written by authorities -- or recognized experts. They synthesize current "consensus" thinking around a particular topic or present the most widely accepted perspectives. They usually contain an extensive bibliography which you can mine as well.

Some major collections:

Cambridge Handbooks Online: Psychology and Linguistics
Cambridge Histories Online
Oxford Handbooks Online
Very Short Introductions

HOLLIS is also a good place to search for these tools. One strategy is just to combine a broad keyword search with this format type (e.g., genocide AND handbook | historiography AND companion ). Other terms to try (for rough equivalents of the handbook) are 'guide' and 'reader.'

Remember to filter your results list if you are far from campus and need an online version.

Literature reviews are essays that help you easily understand—and contextualize—the principal contributions that have been made in your field. They not only track trends over time in the scholarly discussions of a topic, but also synthesize and connect related work. They cite the trailblazers and sometimes the outliers, and they even root out errors of fact or concept. Typically, they include a final section that identifies remaining questions or future directions research might take. Among the databases for finding literature reviews, we recommend you start with:

Annual Reviews offers authoritative syntheses of the primary research literature in 46 academic fields, including anthropology, economics, law, political science, and sociology
Find literature reviews in various databases by using the filters -- before or after your keyword search -- to limit to literature reviews. You can do this in some of the standard social science research databases you'll be using: APA PsycInfo , Social Science Premium Collection , and Web of Science , among others.
While faculty may have different opinions on whether dissertations should be cited in your research, they'll often agree that dissertations can gold mines for their bibliographies. Moreover, by convention, dissertations always have a literature review section (normally an entire chapter) in which writers lay the groundwork for their studies by identifying and synthesizing what's come before them. They're often worth a look as you gather a list authorities to track down and read. And sometimes, they're great places to find primary sources, survey instruments, case studies, and more.

Often the issue in information-seeking isn't scarcity of material, but is overabundance. Annotated bibliographies that are created and curated by scholars aim to address the common problem of knowing what to read, who to read, or which voices in the conversation you should give some fuller attention to.

Oxford Bibliographies Online combine the best features of the annotated bibliography with an authoritative subject encyclopedia. Entries identify key contributions to a topic, idea, person, or event and indicate the value of the work. Modules that may be of interest to ALM students in Social Sciences:

Anthropology
Atlantic History
International Relations
Political Science
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Social Science Research: Principles, Methods and Practices - (Revised edition)

(43 reviews)

Anol Bhattacherjee, University of South Florida

ISBN 13: 9781475146127

Publisher: University of Southern Queensland

Language: English

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Learn more about reviews.

Reviewed by Kelle DeBoth Foust, Associate Professor, Cleveland State University on 6/22/23

Comprehensiveness rating: 5 see less

The text really seems to do as it claims; provides the basic overview of the research material needed for graduate students without a lot of other “fluff.” It’s written very clearly, easy to understand and many figures and charts that enhance learning. It covers the majority of the topics that I need it to cover for OTH 740/Research I, at about the level of detail that the students should be able to digest. In particular, I like the sections on survey research, experimental research and that it covers quantitative and qualitative analyses.

Content Accuracy rating: 4

As far as I can tell reading through it, the content is accurate and unbiased (will be able to review further once actually implemented in the intended course).

Relevance/Longevity rating: 4

The content is current at least regarding how we continue to teach and use it in our field. Some of the references are a little outdated, although not much has changed in this world in recent years. I also recognize I can pull more recent literature in order to make the examples up to date and relevant for my particular students.

Clarity rating: 5

This book is written very clearly. I feel that the diagrams really help to add and make sense of higher level concepts that students may struggle with. Concepts that are challenging are recognized as such within the text, with appropriate examples that enhance clarity (will be able to review further once actually implemented in the intended course)

Consistency rating: 5

Yes, the text appears to be internally consistent in terms of terminology and framework.

Modularity rating: 5

The text is easily and readily divisible into smaller reading sections that can be assigned at different points within the course (i.e., enormous blocks of text without subheadings should be avoided). The text should not be overly self-referential, and should be easily reorganized and realigned with various subunits of a course without presenting much disruption to the reader. – Yes. The division of the content makes sense, and how smaller modules are paired (e.g., qualitative and quantitative analysis paired back to back) is logical to facilitate learning.

Organization/Structure/Flow rating: 5

The text and chapters are laid out in an order that makes sense and provides good flow and continuity between the concepts and analytical applications. In particular, I like how research is introduced, moving into research design and then analysis all within the same text. Will make this more manageable for students.

Interface rating: 5

The text is free of significant interface issues, including navigation problems, distortion of images/charts, and any other display features that may distract or confuse the reader. – Very well put together, no issues with the interface. I would consider this to be very user/student friendly. In particular, the authors made a point to keep it “short and sweet” so students should not be intimidated by the length of the chapters (which is excellent for helping to convince the students to actually read them).

Grammatical Errors rating: 5

The text contains no grammatical errors. – None detected.

Cultural Relevance rating: 5

The text is not culturally insensitive or offensive in any way. It should make use of examples that are inclusive of a variety of races, ethnicities, and backgrounds. – No offensive content noted, the majority of the examples used do not have cultural significance and therefore the amount of diversity is sufficient.

This review was written based on a preliminary review of the text prior to use and implementation within the intended course. I will update the review if it significantly differs once students have used it for their course study.

Reviewed by Ingrid Carter, Professor, Metropolitan State University of Denver on 4/14/23

The textbook includes many of the important elements of a foundational social science research course. A key element of the course I teach which is not included in the text is how to search for literature to inform the research, how to synthesize... read more

Comprehensiveness rating: 4 see less

Content Accuracy rating: 3

The content appears to be mostly accurate and unbiased. There is a large emphasis on positivist approaches, and more post-positivist and innovative research approaches should be added to the content.

The text is relevant to foundational/introductory social science research courses. As mentioned previously, broader and more diverse perspectives of research are missing.

Clarity rating: 4

The content is presented clearly.

Consistency rating: 4

The text is presented with a consistent framework and format. The variety of frameworks included could be greater, with at minimum a presentation of different research paradigms and ideally with discussion or questions to grapple with related to various research paradigms and approaches.

As the author indicates, the textbook consists of 16 chapters which can be used in a 16-week semester. These can be easily assigned for weekly readings.

The textbook is well-organized.

Interface rating: 4

The interface is relatively clear

No grammatical errors were found in my initial review. I have not yet used the textbook for the course I am teaching, and therefore have not reviewed the textbook page by page nor line by line.

Cultural Relevance rating: 3

More diverse and culturally relevant example to a diverse audience could be embedded. I did not encounter offensive material.

Reviewed by Sanaa Riaz, Associate Professor, Metropolitan State University of Denver on 3/27/23

Comprehensiveness rating: 3 see less

While not meant for advanced graduate and doctoral students, this text is an excellent introductory resource for learning about paradigms in research methods and data analysis and prepares the learner to begin writing a successful research project proposal. The text largely privileges the scientific method and labels diverse social science research methods as such. However, the preparatory considerations in beginning social science research have been discussed. The book contains important terms in bold to guide a beginner reader as well as sample syllabi for incorporating it at the graduate level. However, the text could be made more comprehensive with the inclusion of an effective index and/or glossary.

Content Accuracy rating: 5

The text is a quick guide to considerations and terminologies used in social science research. The content is accurate, error-free and unbiased.

The text provides a basic introduction to research methods in the social sciences. Updates in social science inquiry with respect to social media and popular culture platforms and mixed methods research should be easy to incorporate.

The text has been written from the point of view of a non-expert. It is free of technical jargon and is meant to provide the essentials of social science inquiry and research considerations.

Consistency rating: 3

The text is internally consistent in terms of terminology within a chapter section. However, it is strongly recommended that the framework is revisited for chapters discussing qualitative research methods and approaches. Qualitative data analysis has not been explored in depth and the basic framework for Chapter 13 will need to be substantially expanded to provide for a smoother transition from a discussion on grounded theory to content analysis and hermeneutic analysis and to incorporate information on other analyses undertaken in qualitative research.

Chapters and sections in the text can be easily reorganized and assigned as per needs of the instructor and the course without causing disruption to the reader.

Organization/Structure/Flow rating: 3

Chapter sections of the book covering qualitative research are not presented in a logical manner. It is highly recommended that the readers are told about the place of exploratory and other research in social science research inquiry, rather than labeling them as scientific research. Moreover, mixed methods and qualitative visual and social media platform research needs to be discussed. The book overall shies away from delving into approaches and methods in non-empirical research in the social sciences.

The text is easy to navigate. All words, sections and tables are easily searchable.

The book is free of grammatical errors.

The text does not contain any culturally insensitive information as there are hardly any research project examples incorporated.

Incorporating examples and case studies across social science disciplines (after introducing the disciplines in which social science research is employed in the first chapter) would allow readers to see the applicability of one social science research approach, method and data analysis over another based on the research project focus.

Reviewed by Cahit Kaya, ASSISTANT PROFESSOR, University of Texas Rio Grande Valley on 10/17/22

I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. read more

Comprehensiveness rating: 2 see less

I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55.

IT SEEMED ACCURATE

Relevance/Longevity rating: 3

IT IS RELEVANT

IT IS CLEAR

IT IS CONSISTENT

Modularity rating: 3

IT NEEDS MORE MODULES

Organization/Structure/Flow rating: 2

IT CAN BE OGRANIZED BETTER

YES BUT EVEN THOUGH IT CAN BE IMPROVED

Grammatical Errors rating: 4

I DID NOT SEE IT

MORE CULTURAL DIVERSE EXAMPLES CAN BE GIVEN

Reviewed by Dawn DeVries, Associate Professor, Grand Valley State University on 12/9/21

The text provides a complete summary of the research process. While discussions are brief and concise, the text addresses the main issues and processes providing an overview and general understanding of the research process for social science fields. Two areas could be more in-depth, specifically the IRB discussion and the chapter on surveys. Information provided is accurate and succinct as the author intended, providing a comprehensive overview of the research process.

The content is accurate and presented in an objective manner. There was no perception of bias or conflict that would impact accuracy. The chapters offer a variety of examples, inclusive of a variety of social science fields.

Written in 2012, the information remains relevant with few areas that would ever need to change. The research process and research methods stay fairly consistent with little variation; thus, the text would not need regular updating. Updates, if and when needed, would be easy to implement due to the concise and objective writing and the logical organization of the textbook. One area needing updating (or that instructors would need to supplement) is Chapter 9 on Survey Research. The chapter refers to mail surveys, which in 2021, are almost obsolete. Little is presented or discussed on electronic surveys, survey platforms, or the use of social media in recruitment, survey distribution or every survey completion. Furthermore, there is no mention of the ethical issues related to social media research.

Key terminology is bolded with the definition following, making it easy to identify. Definitions are clear and adequate to facilitate understanding of the concepts and terms. The text presents the research process in a logical and understandable way using scaffolding.

The chapter structure, framework, and style are consistent.

Modularity rating: 4

The chapters provide easily divisible readings of 8-10 pages. The chapters are ordered in a logical fashion and flow easily, yet they could be rearranged to fit instructor preferences for order. Chapters are concise, allowing the combination of multiple chapters for a week’s reading if needed. The text is designed for a 16-week semester, but again, because the chapters are not long, several chapters could be read as one assignment. It would be difficult to reduce chapter readings (say, using only 5 pages of the chapter) because of the conciseness of the information and the shortness of the chapters.

The text is logical and has flow. It starts general (with How to Think Like a Researcher) and builds to specific, more detailed content (Inferential Statistics).

There are no observed problems with the interface of the text. Images used are clear and display without difficulty. No hyperlinks are used.

No observed issues or concerns related to grammar or mechanics.

No concerns about inclusivity or offensiveness. The text is clear and concise, offering a variety of short examples specific to various social science professions.

The text reminds me of my Research Methods textbook from my doctoral program. It addresses the differences between scientific research and social science methods in a clear and concise manner. While it is an overview of the information, it is specific and concise enough for students who need to understand the research process but won’t be engaging in research as their full-time profession. Content is brief in a few areas as mentioned, which will allow the instructor to provide supplemental reading or lecture content specific to the university (i.e., IRB) or to the profession. As the author suggests, certain chapters could be skipped depending on the program. For example, chapters 13 – 15 on statistics could easily be omitted if the program has a research statistics course. A nice add is the sample syllabus for a doctoral program.

Reviewed by David Denton, Associate Professor, Seattle Pacific University on 5/3/21

I use this book with graduate students in education taking an initial course in education research. Dr. Bhattacherjee notes the book is organized for semesters with supplemental readings, as shown by the sample syllabus in the appendix. Nevertheless, I have found the book is excellent in meeting objectives for an introductory course in education research, though it is necessary to add education context and examples. Some of the course objectives I have developed from the textbook include i) distinguishing between questionnaire survey method and interview survey method and ii) summarizing criteria for developing effective questionnaire items, among many others. There are some sections that exceed student knowledge without some background in statistics (e.g. description of factor analysis) but omitting these sections as required reading is easy since there are many subheadings used to segment chapters.

Dr. Bhattacherjee has done an excellent job of clearly communicating the content with accuracy. For example, the textbook distinguishes between qualitative and quantitative analysis (rather than qualitative and quantitative research, an appropriate distinction). The textbook makes other distinctions in a way that helps students comprehend concepts (e.g. survey interview and survey questionnaire). At the same time, the textbook does not over-emphasize research methods or design, which might mislead students to think inflexibly about the topic.

Relevance/Longevity rating: 5

One of the advantages of the book, in my view, is that it will not become obsolete anytime soon. It addresses all major topics of interest for instructors needing to develop student background knowledge in social science research methodology. For example, some topics for which the book provides helpful structure include i) Thinking Like a Researcher, ii) The Research Process, iii) Research Design, iv) and Sampling. In addition, an instructor can easily supplement or provide subject-specific examples where needed since the book is thoroughly segmented by chapter and chapter subheadings.

Dr. Bhattacherjee does a fine job of defining terms concisely. I do not recall use of jargon, or if there are complicated terms, the text provides enough elaboration so that students can at least attain a conceptual understanding. In some instances, definitions are so concise that I find it necessary to elaborate with examples. This, however, is a part of instruction and would be done in any case.

The textbook is highly coherent, in my view. Similar to modularity, consistency is a strength. For example, chapters are grouped into four sections: Introduction to Research, Basics of Empirical Research, Data Collection, and Data Analysis. Further, chapters within major sections are sequential, such as chapters on Science and Scientific Research, followed by Thinking Like a Researchers, followed by The Research Process. In addition, content within chapters is consistent, such as Dr. Bhattacherjee’s logical progression of concepts: empiricism, to positivism, to forms of analysis (qualitative and quantitative), etc

Modularity is one of the clear strengths, again in my view. From a structural perspective, neither the chapters nor subsections are very long because Dr. Bhattacherjee writes concisely. Both chapters and subordinate subsections lend themselves to various kinds of divisions. For example, students in need of supplemental instruction on descriptive statistics, such as content about the normal distribution, can be assigned the subsection on Statistics of Sampling in chapter 8, followed by the subsection on Central tendency in chapter 14. Some non-sequential reading is required if students do not have any background in statistics, but this is not difficult to manage using page numbers or subheadings as reference.

Organization/Structure/Flow rating: 4

The textbook is well organized. Nevertheless, there are some sections that I found helpful to have students read out of sequence. For example, there is a short section at the end of chapter 5, Scale Reliability and Validity, which is perhaps best read after students cover correlation and normal distribution, dealt with in chapter 14. Again, I did not find it difficult to assign sections out of sequence using either page numbers or chapter subheadings as reference.

The textbook does not have interface issues. Chapter titles are hyperlinked within PDF copies to simplify navigation. Some may judge a few of the images as low resolution, but if this is a defect it is not one that interferes with communicating concepts, which is the purpose of the images.

There are a few minor grammatical errors in the 2nd edition, 2012. For example, on p. 126, Dr. Bhattacherjee notes “five female students” when the Chi-square table appears to show four. This is minor, but if students are new to reading Chi-square tables they may not detect the error and believe interpreting a Chi-square table is different than interpreting a typical data table.

The textbook presents appropriate information without prejudice or unfairness. As mentioned, instructors will likely need to include examples that are specific to their course objectives and student populations. For example, chapter 11. Case Research provides exemplars that focus on business and marketing domains. This seems entirely appropriate given Dr. Bhattacherjee’s research area. Instructors using the text for other domains, such as education research, will be interested in elaborating on concepts using examples specific to the needs of their students.

I greatly appreciate that Dr. Bhattacherjee has shared his book as an Open Textbook.

Reviewed by Elizabeth Moore, Associate Professor, University of Indianapolis on 4/24/21

In Chapter 5 on Research Design there isn't any discussion on how to improve content and statistical conclusion validity. There isn't a discussion of threats associated with the four types of validity. The chapter also does not present how the research design and threats to validity are interconnected. There is a lack of comprehensiveness in the presentation of qualitative research as qualitative research rigor is not addressed.

The content is accurate, error-free, and unbiased. I would like more examples focused on social sciences. Some of the examples are related to business/industry. There are many social science examples that could be used.

Many of the examples should be updated. With everything that is (has been) happening in the U.S. and world, there are many examples that can come from the social sciences. For example, there are several examples that could represent the concept of technostress, especially with many professionals having to move into online environments. Students would be more likely to read assigned chapters and understand the material presented if the examples were relevant to their profession.

The book is clear and has high readability. There are several accessibility issues in the document. This should be checked and fixed. There are 5 issues in the document, 4 in tables, 5 in alternative text, etc. Accessibility is a big issue right now. All documents have to be accessible to all students.

While there is consistency within the textbook, in some topics there is a lock of consistency in how some of the terms and material relate to what is actually used in social science disciplines. For example, in basic social science textbooks in chapters presenting an introduction to measurement of constructs, descriptive statistics that are unfamiliar and rarely used, such as geometric mean and harmonic mean, should not be introduced. This information is usually difficult for novice researchers to understand without adding more advanced descriptive statistics.

It is confusing as to why research validity is in Chapter 5 - Research Design. There is not a discussion of how different research types are affected by different types and threats of research validity. The title of Chapter 7 is misleading. The word "scale" is associated with scale of measurement. It would be better to use designing measurement tools/instruments in the chapter name since the types of validity and reliability discussed are related to creating and developing measurement tools/instruments. I also think Chapter 6 - Measurement of Construction should not come before Chapter 7 - Scale Reliability and Validity since measurement of constructs and scale reliability and validity are related to qualitative research.

I like the organization. It follows the current syllabus I use so it will require very little modifications.

As mentioned below, bookmarks would improve navigation of the pdf file. Also, having links from the table of contents to chapters would be helpful. Including some of the important subsections of the chapters would also improve navigation of the pdf version of the book. Tables and charts are helpful and supplement the text. Use of images would break-up the text.

None were noted.

Cultural Relevance rating: 4

See comments above about the relevancy of the material. While it is important to make sure a book is culturally sensitive and not offensive, it is also important to not ignore what is known about social injustices which are well-documented. Look at the lack of diversity in many professions and organizations, this is important to address.

It would be helpful if bookmarks were placed in the pdf version. While this is a social science textbook, it would be helpful to have subsection in Chapter 4 that introduces at least a couple of the main health behavior theories. These are commonly used by many researchers in social sciences.

Reviewed by Barbara Molargik-Fitch, Adjunct Professor, Trine University on 3/6/21

This textbook provides a nice overview of several topics related to social science specific research. read more

This textbook provides a nice overview of several topics related to social science specific research.

The textbook seems to be accurate and error free.

The text seems to be accurate, relevant, and useful.

The text is organized well and had a professional and academic tone while also understandable.

Text seemed to be internally consistent.

Text is easily divisible to be assigned as different points within the course.

Text is well organized.

The text is free of significant interface issues that would distract or confuse the reader.

I did not see grammatical errors.

I did not see any cultural issues.

I will be using this textbook for one of my classes. I am looking forward to using it. I think it has a lot to offer students looking to develop their research skills.

Reviewed by Kenneth Gentry, Assistant Professor, Radford University on 6/2/20

This text provides a great overview of core concepts relevant to health-science research. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. It may be helpful in future editions to add additional content relating to qualitative research (i.e. additional types of designs, as well as how trustworthiness and rigor are addressed [for example, what specific steps can be taken by researchers to address dependability, credibility, confirmability and transferability]).

Information presented appears accurate and unbiased.

While much of the content is 'durable' (not likely to soon become obsolete), the relevance is dependent upon the focus of the instructor/course. For example, if the emphasis of the course will be on quantitative research, then this text is highly relevant, however, if the emphasis is on an equal balance between the traditions of qualitative and quantitative, then this text is slightly less relevant due to the more limited nature of its content in qualitative (in comparison to content on quantitative). That is not to say that this text does not address content relevant to qualitative research, however, it does so with decidedly less depth and breadth than quantitative.

While a subjective interpretation of clarity is highly dependent upon the reader, I found this text to strike a good balance between a scholarly, academic tone, and commonly-understood, easily-relatable descriptions of key concepts. There were times where I wish that the latter had been more so, however, considering the target audience of this text, I feel that the author struck a good balance. Occasionally, there were concepts that I anticipated would require additional clarification (beyond the reading) for my graduate students.

Overall, I found the text to be generally consistent in its approach to the content. Occasionally, there were instances when the flow made sense at the chapter level, however, content might have been spread between chapters (i.e. theory is discussed in Chapters 1, 2 and 4).

This ties in with my comments on consistency. Since some concepts are discussed in more than one place, it might be difficult to identify a single reading for a specific topic ... one might need to assign several readings from more than one chapter. However, having said that, I anticipate that those instances would be infrequent. On the whole, the text demonstrates a fairly good degree of modularity.

At the chapter level (i.e. main topics), and within each chapter, information appears well organized. It is the appearance of content in multiple places that was occasionally problematic for me as I read (i.e. when reading about reliability and validity, I questioned why the author did not discuss the types of reliability and validity ... I later found that content in a subsequent chapter).

Interface rating: 3

While images were viewable, many appeared 'pixelated'/'grainy' (low resolution). This was more of a cosmetic issue, and did not affect the overall interpretation of the image.

Overall, the content was grammatically strong.

Content was not culturally insensitive or offensive.

My sincere thanks to this author, and to the Open Textbook Library and Scholar Commons for this text. I truly appreciate the investment of resources that were invested. I just completed instructing 2 semester courses on research in a graduate health science degree program ... I plan to adopt this text the next time I am rotated into those courses again!

Reviewed by Wendy Bolyard, Clinical Assistant Professor, University of Colorado Denver on 4/30/20

This text presents all the topics, and more, that I cover in my master's-level research and analytic methods course. A glossary would be helpful as students often need to reference basic definitions as they learn these new concepts. I would have... read more

The concepts were presented accurately and often with citations.

The great thing about research methods is that the content ages well (does not change over time). The examples were relevant and should not make the text obsolete. Any instructor should be able to provide current, real-world examples to compare and contrast to those in the text. Although the sample syllabus if for a business class, I did not find the text to be relevant only to business students. The authors uses broad social science illustrations that cross disciplines. This text is definitely relevant to public affairs/public administration.

The text is well-written and provides clear yet concise context.

When students are learning a new language - research methods - they may be confused when definitions vary. Causality is explained with slightly different language which may be misunderstood by students.

One chapter includes a summary section. It would have been helpful to include a summary of key takeaways for each chapter, and perhaps include a list of key terms and definitions (since the text does not include a glossary).

The text follows the linear, systematic research process very well.

The font, size, and spacing varied in some sections. The images were a bit blurred.

A few typos, but otherwise well-written and very clear.

Culturally sensitive with relevant and inclusive cases provided.

I will be adopting this text to supplement other readings assigned in my master's-level research and analytic methods course. I appreciate the clear and helpful context it provides on key concepts that students must understand to become effective researchers. The text is comprehensive yet concise and would not overwhelm students.

Reviewed by Valerie Young, Associate Professor, Hanover College on 12/19/19

I really appreciate the broad focus and examples from social science fields. As a fellow social scientist from a high growth area (communication studies), I would appreciate even more breadth! I supplement with many field-specific resources, so this critique is very minor. An appropriate place and reference might be within the first chapter, under the heading Types of Scientific Research, to give a nod to some of the social science fields and the importance of interdisciplinary questions across disciplinary lines.

I did not find any errors in the content of the book. One critique is that the author rarely cites any sources for assertions or materials. I get the impression that the author is relying on "commonly known" ideas regarding research methods and processes, but I have to consistently remind my students to cite all non-original information, and that example is lacking in this text. As an example, regarding evaluating measurement scales for internal consistency, the author references commonly-accepted factor loadings (>.60) but does not reference or provide linked resources for readers to corroborate this or seek additional readings.

The text content is relevant and the author has taken care to provide relatively timeless sample research examples throughout. Some examples include areas of social and political interest (conflict, crime), business and marketing, and social psychology. The contents of the text are not dated and the author does a fantastic job of offering a variety of relevant examples so that readers of all backgrounds can relate to the content.

Incredibly clear and concise. Main ideas are clearly articulated in headings. Bullet point lists are used infrequently, but appropriately. The writing style is professional, academic in tone, yet relate-able. There is little, if any, discipline-specific references that a graduate student from any area of social sciences could not comprehend; however, this book is empirically-grounded and quantitatively focused. For our readers in fields with lower quantitative literacy, some of the terminology in chapters is better suited for students with basic statistical experience, some research methods or theory coursework completed.

This text is consistent and detailed in the use of interdisciplinary, social scientific terminology.

The layout of materials and the concise writing style contribute to an easy-to-visualize text. The page layout and brief chapters make it appropriate to assign supplemental readings along with the chapter topics. Some areas for improvement: use hyperlinks to reference forward and backward within the text so that readers can pop back and forth to related concepts. Include links in the text to reputable online materials or publications. See my comment below in Organization feedback concerning chapter ordering.

One thing that strikes me as amazing and also challenging about this text is the concision and simplicity for which Bhattacherjee integrates complex information. The chapters are very brief- about half of what would be a typical, field-specific textbook, but the content is simultaneously dense and clear. For example, Chapter 7 addresses scale reliability and validity. In just a few short pages, we get an incredible density of information and terminology, from a formula and brief explanation of Chronbach's alpha to exploratory factor analysis as a method to demonstrate convergent and discriminant validity. There is an appropriate number of tables to visually demonstrate complex topics in-text. Overall, the chapters are well-organized and easy to follow with a working knowledge of basic stats. The introductory chapters have been intentionally placed to introduce readers to basic principles. The following chapters could be assigned as readings in any order that fit with the student's needs (but I find the order of these chapters appropriate, as-is): Chapter 9 Survey Research, Chapter 10 Experimental Research, Chapter 11 Case Research, Chapter 12 Interpretive Research, Chapter 13 Qualitative Analysis, Chapter 14 Quantitative Descriptive Statistics, Chapter 15 Quantitative Inferential Statistics. The final chapter, 16, covers Research Ethics, which seems to have been lopped on at the end of the text. It would be a better fit in the first third; perhaps integrated into one of the first several chapters with a nod toward the evolution of social research.

Regarding navigation, the pdf online version does not allow for creative navigation through the document. Graphics and charts are clear and easy to see in the online pdf version. They are a little smaller than I would like on the page, but the text is clear and the tables and graphs are visually appealing. It looks like most of the graphics were created using PowerPoint. One odd thing I noticed is that the paragraph spacing is inconsistent. In one section, the spacing between paragraph lines seems to be set at 1.25, and then, for no apparent reason, the line spacing moves back to single space. This is not visually distracting, just peculiar. Overall, the graphics in the online version are much clearer than in the softcover print version, which prints only in greyscale, with quite a bit of granulated distortion in the figures.

I did not notice any writing errors.

The research topic examples represented a diverse array of research topics, methods, fields, etc. The overview of science, scientific research, and social science was welcomed and unique to this text. Some areas for improvement would be to include historical scientific figures who are not all male, and link critical methodology in a clearer manner with specific critical and cultural examples of this form of research.

Reviewed by Lee Bidgood, Associate Professor, East Tennessee State University on 10/29/19

The text seems comprehensive, covers a wide range of research approaches, and parts of the research process. I will have to supplement with more of the area-specific writing that my students need, but this is easily added in the adapted version... read more

This text seems to follow the path of other texts that outline research design and methods, such as the Creswell book that I have used for several semesters. I do not detect bias in the text, or any significant errors.

I will discuss disciplinary relevance rather than chronological applicability (which other reviewers have already addressed thoroughly). The course for which I seek a textbook is meant to prepare students in a non-discipline-specific regional studies context, and for a range of methodologies and research design possibilities, mostly in the social sciences and humanities. This text is most relevant to the potential research programs of our students in discussions of the precursors to research design in Chapter 2 (“Thinking like a researcher”) and of the using and creating of theory in Chapter 4 (“Theories in Scientific Research”).

The authors’ prose is clear and easily comprehensible. Definitions are clear, and sufficient (jargon is explained). There could be more examples to clarify and assure comprehension of concepts, I plan to add these in my adaptation.

There is not an overt intra-chapter organization scheme that is consistent from chapter to chapter--each chapter differs in the sorts of content, that some sort of generic outline would feel forced, I think. The “feel” of the text, though, is consistent, and effectively conveys the content.

Because it uses footnote citations instead of endnotes / parenthetical citations, each page contains all of the references contained on it, which helps with modularity. The portions of the text that are less relevant to the course I teach (i.e. the more technical and statistical chapters, such as Chapters 6, 7, 8, 14, and 15 are easily omitted; I will be able to adapt portions of this text (i.e. the discussion of sampling in Chapter 8) without needing to provide all of the chapters. Some of the more technical vocabulary will require editing and explanation, but this seems manageable for me as an adapter.

The book is logically organized and the topics make sense in the order presented. I agree with another reviewer that the ethics portion seems like an appendix, rather than an essential and structural part of the book. As I adapt this text, I would address ethics at the beginning (as I do in my current teaching of research methods) and infuse the topic through other sections to address ethics-related concerns at all stages of research design and implementation. The author’s choice to use footnotes for references is not the one that seemed logical to me at first - it seems “elegant” to put all the references in a list at the rear of a book; now, reading through the whole text, however, I see some value to having the entirety of a citation at hand when reading through the main body of the text. Still, I miss the comprehensive list of works cited at the end of the book, which I would add to a text that I create, since an e-text is not limited by the economics of physically-printed books.

The text is workable as presented in the PDF document that I downloaded. Charts and other imagery are usable. There are no extra navigation features (a link to take a reader to the table of contents in a header or footer, etc.). I am left wondering if, in a PDF form, an OER textbook would be more useful with more navigation features, or if they might make the document buggy, cluttered, or otherwise affect use.

I did not detect any issues with grammar, usage, etc. in the text.

There is a lack of specific examples that might lend a sense of wide scope / global appeal to the textbook, and create an inclusive atmosphere for a reader/student. The author has stated that they hope to translate and widely distribute the text - perhaps, as is the case in the syllabus that the author provides, the hope is that in use for a course, additional readings will provide local knowledge and place-, culture-, and discipline-specific details and context.

This is a solid text that will provide a framework for adaptation in another disciplinary / area context.

Reviewed by Kevin Deitle, Adjunct Associate Professor, TRAILS on 10/6/19

I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. The structure and arrangement of the book differs from my own understandings of research and how I present it in class, but all the material covered in my class appears in the text, and it can be ordered to fit my syllabus. This text spends more time with statistics than I include in a research course, but again, that can be omitted or just used for reference. The book does not include either an index or a glossary, which is unfortunate for anyone who wants a paper version. Of course, most students seem to prefer an electronic text, so I assume they use a search function rather than an index.

I have not spotted any glaring errors, other than an occasional grammatical slip or a cumbersome edit. The author includes a few citations, usually following APA style, but employs footnotes instead of a reference section. The content mostly aligns with my own conceptions of research, although it does have a different arrangement from my presentation in class. This does not suggest that the content is wrong, only that I would likely rearrange it to suit my instructional sequence. I sense no bias in the presentation, including the historical or ethical portions, or sections that mention religion. I’m comfortable that I could rely on this book in class without worrying over slanted content or editorialization.

Research is something of a traditional topic, in the sense that changes or evolutions move at a comfortably slow pace. I expect there is very little of this text that is likely to become obsolete any time soon. The flip side is there is little in this book that is necessarily cutting-edge, but that is not the fault of the author at all. And in the unforeseeable situation where a new protocol or a new advance in either statistics or research warrants an update, I think the organization and the modular design will allow that to happen without major upheavals in the structure or arrangement of the text.

As mentioned elsewhere, the writing is comfortably academic without becoming dense or burdensome. I have seen introductions to research that were more casual and probably fit a beginner audience better than this would, but I daresay this is intended as a core text for a graduate-level class, and for that reason, can be expected to sound less approachable and more authoritative. The text employs features for fast visual reference, to include breaks in the text to allow for visual elements, and bolded text where key terms are introduced or defined. While this would probably not be a particularly exciting text for a self-study course, it will sit well with classes that need a reference text that takes the time to explain concepts with some authority.

Structurally the author has a style and sticks to it throughout the text. Visually this book is sparse, and it will require some effort on the part of the professor to make the content digestible in a classroom environment. However, that also suggests that the arrangement and format remain predictable from the first page to the last, without any surprises in presentation or discourse. Research has a tendency to step on its own toes when it comes to terminology, but this text follows those conventions for the most part, making it mostly congruent with other research texts I have seen. I think this book would complement other research texts without causing too many difficulties in terminology or arrangement.

The author suggests in the preface that the work was intended to be rearranged by sections, and I can appreciate how the chapters and structure support that statement. I do see this more as a foundational reference for a graduate-level course than a self-study text though, and it has the feel of a reference work to it. Text appears in large blocks, is illustrated sparsely, and has no callout texts or pull quotes. Key words are bolded but get no more embellishment, which again suggests a reference rather than an instructional work. I’m sure this material could be the groundwork for a more reader-friendly presentation, if someone wanted less of a reference and more of a textbook.

This might be the most appealing point of the text for me. As I mentioned earlier, I like the overall sequence that the author follows, but at the same time I can appreciate how the sections can be detached and still stand alone. The logic follows principles and theory through to fundamentals, then diverges to cover the details that fit more complex or esoteric versions of research. There is enough statistical explanation to avoid vague generalizations, but at points I expect it would overwhelm a beginner. I would prefer ethics was near the start of the text, rather than an epilogue; our course is arranged to require students to complete ethics training before they may pursue later assignments. But this is easily solved.

On the whole the text is satisfactory, the layout from page to page is acceptable, but there’s a minimum of graphic elements or visual components. Some of the statistical formulas or graphs are low-quality, or have suffered compression artifacts. Their appearance in the text is logical though, and the few tables or diagrams that do appear are in color, with arrows or labels to ease interpretation. The table of contents is primitive, and there is no way to navigate specific tables or diagrams except moving page by page in sequence. External sites are hyperlinked, and the table of contents has been designed for electronic use, but there are no cross-reference features. This gives the text the feel of a word processed document converted to a PDF format, intended to be printed. Overall, the core content is strong, as a printed book it is probably acceptable, but as an electronic textbook it lacks some contemporary features.

I have found very few grammatical errors or incomplete sentences, and none of those were so flagrant as to make the text unusable. If this had been submitted as an academic work it would likely earn some criticism for style or grammar (the author seems to follow APA style, but tends to footnote references simultaneously), but this never impedes the delivery. The text is readable at a collegiate level without becoming over-academic, or for that matter, casual.

The text manages to broach sensitive issues in a level and balanced format; in particular the ethics section manages to discuss some well-known failings in past research without becoming overly critical of the researcher or the participants. Arguably, research and its underlying processes are mostly mechanical (or at least standardized), meaning it is possible for individual researchers to violate cultural, ethnic, racial, or other boundaries, but the underlying science is generally unconcerned with those issues. In that sense, the book has very few opportunities to broach hot-button topics except when dealing with historical or ethical examples.

I appreciate this text as a starting point for a more accessible design, or as a background reference for a full course introducing social science research. I see it as a foundation text or an external source for students who seek a concise fallback for lessons, and with content that is compatible with other textbooks. In many ways it needs much more to compete with established textbooks or dedicated electronic learning tools, and in some places I would like more references for the material that is included. On the whole though, I would consider this as the core text for my next introductory research course.

Reviewed by Krystin Krause, Assistant Professor, Emory and Henry College on 4/10/19

This text covers the core elements of a social science research methods course at the undergraduate level. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. The concise chapters are undergraduate-friendly and will make a solid foundation with the addition of supplemental reading assignments that show examples of the concepts discussed in the textbook. There is no glossary or index, but keyword searching in the pdf copy is simple and effective.

The text seems to be an accurate reflection of social science research methods, particularly when considering causal inference and hypothesis testing. If your course is also covering descriptive inference, you would want to supplement the text with additional material.

Research methods is not a subject that changes quickly, and thus this text will not become obsolete quickly. The only things that may need updating over time are any links that lead to pages that no longer exist. Any other updates will be relatively easy and straightforward to implement.

The text is written in a style that is accessible for undergraduates. It follows the conventions of including relevant key words and phrases in bold and includes easy to follow definitions of terms. I anticipate that undergraduates will also appreciate how concise the text is.

The chapters are consistent in both terminology and framework. It offers a unified organization that also allows for mixing and matching chapters if an instructor wishes to teach the chapters out of order.

The organization of the text lends itself to be adapted to any introductory social science research methods course, regardless of what order the instructor wants to place the topics being discussed. Chapters could be taught out of order and can be subdivided accordingly.

While it is certainly possible to break apart to teach the text in a different order than how the chapters are originally offered, the progression of the text from the introduction to the chapters on qualitative data analysis is both logical and clear.

The text is free of interface issues, and charts and images appear to be clear and correct. The only exception to this are the links found in the sample syllabus at the end of the book. I was only able to get one of the links to work.

No grammatical errors jumped out at me. There are a few here and there, but they are not distracting for the reader.

The text is not culturally insensitive or offensive.

Because the book is concise, I would recommend its use in addition to other supplementary resources such as class lectures, academic articles that demonstrate the methods discussed in the textbook, and projects that allow students to experience the methods first-hand. It would make a good alternative to more elaborate basic research methods textbooks when the instructor wishes to keep costs for the students low.

Reviewed by Mari Sakiyama, Assistant Professor, Western Oregon University on 4/5/19

The textbook covers the major key elements that are essential in research methods for social science. However, both the breadth and depth of information might be too elementary for Ph.D. and graduate students. With the use of additional reading... read more

I did not notice any errors or unbiased content. The author had provided accurate information with simple/straightforward examples that can be understood by students with various discipline in social science.

Given the nature of the subject, the content is considered to be up-to-date. However, although there will not be too many changed expected in the research strategies and designs, it is important to note that some of the sampling procedure have been facing some changes in recent years (e.g., telephone survey, online sampling frame).

The textbook provided the content in a clear and concise manner. The author, instead of providing a complex list of academic jargon/technical terminologies, but rather clarified and explained these terms in a simple and straightforward fashion.

Overall, the content was consistent throughout the textbook. Starting with a broad/general statement of each chapter topic, the author narrowed it down to smaller element which is easy for the reader to follow and understand. As he provided in CH.6, it might be even more helpful to have summaries for each chapter.

This textbook is certainly divided into smaller segments, but maybe too small (short). However, as mentioned above, this problem can be solved by adapting additional readings.

The textbook is significantly reader-friendly and well-structured. Although some instructors prefer to cover some chapters earlier (or later) in their semester/term than others, this is just a personal preference. There are no issues with the author’s organization of the textbook.

Overall, the use of indentations, bolding, italicization, and bullet points, was consistent. However, many of the images were blurry (e.g., Figure 8.2, Table 14.1) and some fonts were smaller than others (i.e., pg. 34).

I did not notice any grammatical errors. Even I had missed some, they would not be destructions for the reader. (Note: The scale is confusing. What I mean by '5' is the least amount of grammatical errors were found)

The author did not use any concept that was insensitive or offended people and/or subjects from various backgrounds. (Note: The scale is confusing. What I mean by '5' is the least amount of cultural insensitivity or offensiveness were found)

See my comments above.

Reviewed by Candace Bright, Assistant Professor, East Tennessee State University on 11/7/18

There are some key elements that I would expect to be in a social science research methods book that are missing in this book. I think this comprehensiveness may be appropriate for an undergraduate course (with some supplementation), but the text... read more

The information in the book seems accurate. When necessary, it is cited appropriately.

The content is very relevant. Because the book focuses on methods, it does not need too much change over time. It was published in 2012. The main area that might need to be updated in the discussion regarding the Internet and how it impacts our research options. Perhaps more could be added on machine learning, AI, web-scraping, and social media in general. I increasingly see studies conducted either using social media content or recruiting through social media; neither of these are addressed in this book.

I really like the way the book is laid out. In particular, the qualitative and quantitative analysis sections are well organized. They succinctly cover a lot of information is a way that is very consumable. There were some instances, however, where I thought wording lacked clarity or definitions needed further explanation.

I do not see any issues with consistency.

I like the organization of this book and each chapter does a good job of standing alone on important topics within research methods. The sections within the chapters are clearly marked and logically organized.

The organization is clear and logical. It covers important concepts in research methods in the same order in which they are typically taught, with the exception of ethics. In this book, ethics comes last, whereas I would have taught it earlier.

This might be minor, but I noticed some places where the spacing was different and it was a little distracting. Overall, it is well formatted.

I didn't notice any grammatical errors.

Overall, the text book could use more examples and applied examples, but when present, I find them culturally appropriate.

I have mixed feeling on the image on the cover and the limited visuals within the book. I also don't feel like this textbook has enough visuals or figures that could be used to support comprehension of the materials. More examples would also be helpful. Overall, however, the author has presented a lot of information succinctly and I look forward to using this text (in parts) in future methods courses.

Reviewed by Alysia Roehrig, Associate Professor , Florida State University on 11/5/18

This text provides an overview of many important issues for my graduate research methods course in education. There are a few important topics missing, however. In particular, types of correlational designs and mixed-methods designs would be important to include. Likewise, single-subject designs are not mentioned at all. I will have to supplement these areas with other readings. I also think more about specific threats to internal and external validity should be provided, along with information about when and how certain threats are avoided. There is no glossary but being an online text, it is simple enough to search for certain terms.

Content seems to be error-free and unbiased for the most part. However, I have an issues with the language in chapter 2 about about strong and weak hypotheses because it seems to treat the experimental/causal hypotheses preferentially. The author also states that hypotheses should have IVs and DVs...but what about non-experimental hypotheses?? I think students could be misled by this and I think this requires a lot of unpacking. Thus, I do sense somewhat of a prejudicial treatment of quantitative and experimental research methods. I plan to add information to pages 13 and 15 about how qualitative methods do not involve testing hypotheses though the results might be an inductively derived hypothesis or nascent theory.

The content covered is pretty standard and basic and so not likely to be out-dated soon.

The writing is straightforward and easy to follow.

The use of terms and framework seems to be consistent throughout the book.

The chapter and subject headers all seem to be clear. They will make it easy to select sections for assignment or reordering if revising for use.

The order of topics makes sense and is aligned with the process of conducting research.

The hotlinks in the table of content are nice, but additional navigational aids would be helpful. For example, a back to the Table of Contents (TOC) button would be nice, as well we a list of all subsections (hotlinked) added to a long version of the TOC.

I have not noticed any egregious problems.

There are not many examples, which means there is little opportunity to offend.

Reviewed by Eddie T. C. Lam, Associate Professor/Editor-in-Chief, Cleveland State University on 9/12/18

The book provides ample information for a research course, but it may not meet the needs of every instructor. For this reason, the book should include a few more chapters so that course instructors can have more options for a semester-long research course. For instance, at least one chapter should be on nonparametric statistics and their applications on research studies, while another chapter should be on research paper writing (e.g., what should be included in the Introduction, Methods, Results, Discussion, and so on). For the Appendix, it is nice to provide a sample syllabus for the instructors, but the students may want a sample research paper in proper journal or thesis/dissertation format.

Most of the information presented in this book is accurate. The author has mentioned in Chapter 5 (p. 37) that “construct validity” will be described in the next chapter, but I don’t see any construct validity in Chapter 6 or Chapter 7. In addition, the author may want to emphasize what “alpha is set to 0.05” means. Does it mean the p-value has to be less than 0.05 (p. 125) or p ≤ 0.05 (p. 130) to reject the null hypothesis?

In terms of content, the book has fairly good amount of information. However, it is also obvious that many terms appeared in the last few decades are missing from the book. For example, Survey Monkey and social media can be included in Chapter 9 (Survey Research) and structure equation modeling can be introduced in Chapter 15.

The information is presented in layman’s terms without any jargon. New terms are bolded with clear definition, and sometimes they are illustrated with examples.

The terminology and framework are consistent throughout the text.

The chapters are logically presented and they are grouped under different sections. As mentioned before, the text should add a few more chapters for the course instructors to select from.

In my opinion, “Chapter 16 Research Ethics” should not be standalone (under the “Epilogue”) and it could be part of the “Introduction to Research” (i.e., the first few chapters).

The text does not have any significant interface issues, though the font size of the figures can be larger (e.g., they should not smaller than the font size of the text).

Overall, the text contains very few grammatical errors. However, in a number of occasions, a comma is added for no reason, such as “. . . we must understand that sometimes, these constructs are not real . . .” (p. 44). It is also unnecessary to always add a comma before the word “because.”

The content of the text is not culturally insensitive, and the author does not present any offensive statements or comments anywhere in the text.

It’s time to have a second edition.

Reviewed by Amy Thompson, Associate Professor, University of South Florida on 6/19/18

This text is a nice overview of some of the key points in social science research. There are useful definitions of key terms throughout the book, although none of the chapters go into much depth. It should be noted that there is more of a focus on... read more

Overall, the text seems accurate. There are some cases when the author gives advice that I don't agree with (i.e. advises against even-numbered Likert scale items, p. 48; encourages people not to do "trendy" research, such as that on new technology, p. 24). Even so, most of the information seems to be accurate.

The book is relevant. It gives a good overview of the theories and methods, which change little over time. I would suggest a few updates, however. Currently, there is controversy on the over-reliance of the p-value, and it would be useful to include some of this discussion on p. 125. Also, on p. 73, the author talks about "mail-in" and "telephone" surveys as a research method, and even goes on to say on p. 74 that most survey research is done by self-administered mail-in surveys with a pre-paid return envelop. This information needs to be updated, as currently, much of the survey research is done via online platforms.

The book is quite clear and provides succinct definitions.

The book seems consistent throughout.

The chapters are short and very readable. There would be no problem dividing the chapters up for a class, or using a portion of the book.

The topics are presented in a logical manner.

The text in some of the tables is blurry, especially when enlarging the PDF. Perhaps the print copy is clearer. The text outside of the tables is clear.

I didn't have any trouble reading or understanding the text.

This book is not offensive.

Overall, this is a good book to have as a reference or an additional text for a class. For my field, it wouldn't be sufficient to use as a stand-alone text. Although its intended audience is graduate students, it's a bit too basic for Ph.D. students, in my opinion. It would be a good text for an intro to research class at the UG or MA level, as a supplemental text. I would recommend it to Ph.D. students to use as a reference because of the key terms included. It's great that a resource like this is available for free to students and faculty in a wide variety of disciplines.

Reviewed by Huili Hao, Assistant Professor, University of North Carolina Wilmington on 5/21/18

This book provides an introductory and broad review of some of the key topics in social science research including research theories, research design, data collection, data analysis and research ethics Students from different disciplines in social science will find these topics useful in developing their research method skills. However, the book falls short on the depth of the essential concepts. It would also benefit from offering more practical examples for some of the theories or terminology. A glossary is not found within the text, although the table of content lists the topics covered in each of the modules.

Overall, this textbooks seems to be accurate.

The relevancy and longevity of this book are great. It focuses on fundamental research methods as well as incorporates current research approaches. Given the nature of research method that does not change drastically, content is up-to-date and won’t make the text obsolete within a short period of time. The topics are written in the way that necessary updates will be relatively easy and straightforward to implement.

The text is written in a logical and concise fashion. The text is easy to follow. I did not find any jargon or technical terminology used without explanation.

The text consistently matches the topics outlined in the table of content.

The text is clearly organized into five modules: introduction to research, basics of empirical research, data collection, data analysis, and research ethics. It also includes a course syllabus, which is nice and useful. Each of the modules / chapters can also be used as subunits of a research method course without putting the reader at a disadvantage.

The table of content is clear and the chapters are organized in a logic order.

I downloaded the PDF version of the textbook and find it easy to read offline. The formatting, navigation and images/charts seems clear and appropriate.

I had no trouble reading or understanding the textbook.

Overall, this is a good textbook that covers a broad range of topics important in research method. As this textbook is designed as a succinct overview of research design and process, more practical topics are not included in much detail such as how to conduct different statistical analyses using SPSS or SAS, or how to interpret statistical analysis results. It would require additional materials / textbooks for graduate level research method courses.

Reviewed by Jenna Wintemberg, Assistant Teaching Professor, University of Missouri on 5/21/18

I use almost the entire text in an undergraduate Health Science research methods course. I do supplement the text with additional readings on: -selecting a research topic -developing a research question -how to read scholarly articles -how to search the literature -mixed methods research -community-based participatory research -disseminating research findings -evidence-based practice

I have found this text to be accurate, error-free and unbiased.

The content is written in a way that will allow for longevity of use. I compliment this text with current peer-reviewed journal articles which are relevant to my students' career paths and can be updated more regularly.

I have found the book to be clearly written and appropriate for upper-level Health Science undergraduate students. Technical terminology is sufficiently defined.

The text uses a consistent framework throughout.

The text is easily divisible into smaller reading sections. I assign the chapters in an alternative order and students have not had problems with this.

I assign the chapters in an alternative order for my undergraduate students. For example, I have students read chapter 1 following by chapter 16 (research ethics).

There are no interface issues.

The text is free of grammatical errors

The text is not culturally offensive.

Because of the basic nature of the materials presented and clear writing, my upper level undergraduate students have done well with this text. The brevity of the chapters and bolded key terms particularly appeal to the students. I do have to supplement the text with journal articles and other materials. However, I am pleased with this straight-forward text and will continue to use it as the main text in my course moving forward.

Reviewed by Amy Thompson , Associate Professor, University of South Florida on 3/27/18

Reviewed by Debra Mowery, Assistant Professor, University of South Florida on 3/27/18

The text covers all of the areas of basic research information that I cover when I teach research and research methods in the social sciences. The table of contents is straight forward, and the chapters are arranged in a fluid, logical order. The nice thing with this text is that you could rearrange as you see fit for your course without an issue. There is also a sample syllabus in the appendix which could be useful when setting up a course. I feel this text is great for students who may not necessarily be interested in research as a job prospect (their interests may be more clinical in nature) but need the basics of research in a clear, easy to understand, and straight forward format.

I felt the content of this text is accurate, unbiased, and free of any glaring errors..

This text appears to be up-to-date including issues such as web-based or internet surveys and questionnaires. I did see that the copyright for this text was 2012 so not sure if revisions or updates to the original have happened or not. It seems that there should be a way to document if this is the latest version of the text. This may be useful information for users of this text.

This textbook is written in a concise and easy to read and understand manner - it is very user-friendly. This is a plus for students - it means they may actually read the text! Jargon and acronyms were appropriately defined with an explanation of how the terms originated and came to be utilized in research. This is appealing to me as an instructor so there is background information for the students.

The consistency of this text is uniform throughout. One appealing issue I liked was the use of social science examples when explaining topics like theories or paradigms. In some research texts examples are utilized but they may not necessarily be in the discipline that you are teaching.

I do like that this text is divided into 16 chapters which is perfect for a 15/16 week semester. The chapters are not so overwhelming that other supporting readings cannot be assigned to students as well to assist with explanation of the weekly topic. The text serves as a great base for building weekly assignments/readings for students.

The majority of the text is presented in a logical format. One issue I had with the order of the chapters in the text was including Ethics at the end in the Epilogue as if it was an after thought. Ethics, ethical behavior, and rigor are a must in research and should be addressed early on in the research process. Having said this, I feel the chapter on Ethics should be moved up further in the chapter line-up (possibly to chapter 2 or 3).

I did not experience any navigation problems. There was however, distortion with many of the images especially the graphics that were utilized throughout the text. A review of the images/graphics and an update to them would be useful. If this e-text has not been updated since 2012 this may be the issue for the distorted figures.

There are a few grammar/spelling/word choice errors. The errors do not effect the content of the text but when reading it makes you pause and think - what is trying to be said here? It might be useful to the author to have the text proofread or copy edited to resolve these issues.

In reviewing this text I did not see any examples that might be deemed offensive or insensitive to other cultures, orientations, ethnicities, etc,

Reviewed by Kendall Bustad, Clinical Assistant Professor, University of Maryland, College Park on 2/1/18

This book covers all the important topics in social science research and is approachable regardless of discipline and course level (high school, undergraduate, graduate, and even post-graduate). It provides an introduction to philosophy as well as components of research. You'll find yourself returning to the basics, and it gives strong foundations. Specifically, I find that the book provides a very comprehensive introduction to research philosophy and research designs, particularly in addressing how to come up with research questions, which is often a challenge for new doctoral students. However, due to the succinct nature of the book, some sections seemed lacking. Particularly, in the more practical steps of the research process (the data collection and data analysis sections)

The text does not seem to be biased in any way.

The content of the book is up-to-date. The text included relevant descriptions of current software commonly used in research.

If you want to have a compressed body of knowledge of social science research, you may read this one. Beneficial.

The text consistently matches the book outline. Terms were used consistently throughout the text.

Each chapter can stand along as a separate lecture. The headings, subheadings, an bold items are great additions that highlight important topics or definitions.

Most of the text flows in a logical, clear fashion. However, it may be clearer to have quantitative data analysis methods immediately follow quantitative data collection methods, and similarly for the qualitative data collection and analysis.

No issues noted.

There are a few grammatical errors.

There does not seem to be any culturally insensitive or offensive text.

Reviewed by Jason Giersch, Assistant Professor, UNC Charlotte on 2/1/18

The biggest challenge faced when writing a book about research methods is the decision about what NOT to include. Instructors and disciplines within the social sciences vary widely in terms of their expectations of students in an introductory methods course, and thus their needs from a textbook also vary. This textbook does an excellent job setting the stage for what we mean by "research" in the social sciences. Students will develop a solid foundation in the goals and rationales behind the methods social scientists employ. Students will also develop a comprehensive vocabulary in social science research methods. However, the book falls short in the development of students' research skills. Learning about methods is important, but not much is gained from that knowledge unless the student also learns how to execute at least some techniques. Furthermore, there is little guidance for the student regarding how to properly write a research paper, something that many instructors will find disappointing. This book is probably comprehensive enough for a 3-credit methods course with test-based assessments in a program where few students pursue graduate work. But if teaching students to actually conduct and write up research is important to the course, there are much better books out there (although at significant cost).

Content is accurate and unbiased.

The relevance and longevity are strong. This book describes some of the most current methods but still focuses on the foundations of research that will be appropriate for the foreseeable future. Updates could be easily made every five years or so to keep up with methodology.

The writing is very easy to follow with helpful examples. Prose is direct and to the point, giving only the essential information so as to allow the learner to develop a grasp of fundamentals. The section on theory, for example, is refreshingly clear for learners. Graphics aid in understanding the material in many parts.

This textbook uses consistent terminology and framework.

The textbook is appropriately structured for a standard 15 week course and even recommends a syllabus. Adapting it to other formats, like a 5 or 10 week summer course, might be tricky. There are ample headings and sub-headings, however, that allow the text to be divided into smaller chunks, which is nice to see given how many students feel overwhelmed by this topic.

Organization and flow is excellent. From an education and instructional standpoint, I wouldn't change the organization.

The simplicity of design is a strength -- students should have no difficulty opening and viewing the text on a wide variety of devices. On the downside, there are no bells and whistles that many some students have come to expect from online textbooks.

The casual writing style makes it very accessible, but one consequence is the very occasional grammar problem. It's a trade-off, I think, that is worth making.

Research methods are pretty "culturally-neutral", so there's nothing in it I would see as insensitive or offensive. That being said, the text recommends SPSS and SAS as software to use while neglecting free options (like R) or more ubiquitous programs (like Excel). For a textbook intended to keep costs at zero, these are glaring omissions.

I could certainly see this book being used as an accessible and low-stress introduction to the world of research methods in the social sciences. The main improvements I would like to see would be (1) sidebars throughout that guide students through the paper-writing process and (2) activities using datasets for students to actually perform some of their own quantitative analyses. Perhaps a companion volume could address these needs.

Reviewed by Nathan Favero, Assistant Professor, American University on 2/1/18

This text provides a fairly comprehensive coverage of topics. It is broad, hitting most of the major topics I need to cover in an intro PhD seminar for social science research methods (I'm teaching public administration/policy, political science, and criminology students). That said, there is not a ton of depth in this textbook. I don't view that as a negative; I prefer having a textbook that gives a basic outline of essential concepts and then fleshing this out with supplemental readings, but some might prefer a textbook that goes into more depth.

Overall, this textbook is accurate but not perfect. Sometimes I wish it was a bit more precise, particularly in coverage of quantitative topics. But I use another textbook to more fully cover quantitative topics anyway for my course.

I would say this textbook reads as modern and relevant, although perhaps it could do more to address emerging methodological concerns in social science disciplines (p-hacking, replication, pre-registration of research designs, etc.).

The textbooks is very accessible and easy to read for someone new to the disciplines of social science.

The book appears to be consistent.

I've assigned students to read the chapters in a different order than they are presented in the text had have not encountered any problems. Chapters are coherently organized into distinct topics.

The organization of the book is logical.

Overall, this book is easy to read and use. Graphs are not always high-resolution, but they are readable.

I have not noticed many grammatical errors.

I have not noticed any clear biases or insensitive handling of material in the book.

I'm delighted to have found this book. It's a great starting point for teaching my students to think about the basics of social science research and provides a nice skeleton on which I can layer more in-depth material for my course.

Reviewed by Holly Gould, Associate Professor, Lynchburg College on 8/15/17

The author states that the text is not designed to go in-depth into the subject matter but rather give a basic understanding of the material. I believe the author covers the necessary topics with enough depth to give the reader a basic... read more

I found no errors in content and no observable bias in any of the chapters.

This text will continue to be relevant because of the nature of the subject matter. Updates may be needed to reflect more current research or trends, but no major changes should be necessary.

The text is written clearly and succinctly. The text is understandable for those who are new to the subject matter.

I found no inconsistencies in the text.

The text is divided into logical chapters, and subheadings seem to be appropriate. Chapters can be read fairly easily in isolation without putting the reader at a disadvantage.

The topics are presented in a logical fashion. Some of the chapters have summaries or conclusions, while other chapters seem to end abruptly. It would be helpful to the reader to have a summary statement at the end of each chapter.

I downloaded and read the text in a PDF reader and had no trouble with formatting, navigation, or images/charts.

The text contains some grammatical errors but the errors are minor and do not distract the reader.

This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods. It contains information essential to understanding quantitative and qualitative research. The charts and images provided enhance the understanding of the text. At times, the author digs a little deeper into background and formulas for certain statistical ideas, which may be unnecessary to someone looking to understand the basics (e.g. the formula for Cronbach's alpha). Some chapters seem to end abruptly while other chapters have excellent summaries or conclusions. There is one recommendation that goes against the prevailing wisdom on survey design. On page 77, the author indicates that a survey should begin with non-threatening questions such as demographic information. Many experts have written that these types of questions, when asked at the beginning of a questionnaire or survey, can affect the respondents' answers to subsequent questions and should be saved for the end. Aside from these minor issues, this text is a great resource and I recommend it.

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

The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. It covers a broad range of topics, research theories, research process, research design, data collection methods, qualitative and quantitative research, statistical analysis, and research ethics. This book touches on many important topics related to the scientific research process that is typically found in several different text. As the author stated in the preface, this is an introductory book that is minimalist by design, it does not contain in-depth discussions or many examples. This is both a plus and a minus, as it makes the book more compact and allow it to be used by many different disciplines, but may be harder for students to relate. The comprehensive nature of the book allows the reader to be exposed to all the necessary topics, or provides a structure for a course instructor, who then supplements with additional materials to create the depth that is specifically tailored for their discipline. Specifically, I find that the book provides a very comprehensive introduction to research philosophy and research designs, particularly in addressing how to come up with research questions, which is often a challenge for new doctoral students. However, due to the succinct nature of the book, some sections seemed lacking. Particularly, in the more practical steps of the research process (the data collection and data analysis sections), as a new doctoral student will certainly need more details than what is provided in the text to begin their first research endeavor. For example, in the quantitative analysis section, only a handful of basic analysis were discussed in detail (univariate analysis, hypothesis testing, t-test, regression). I would like to see a more practical discussion of ANOVA, as it is a very commonly used statistical analysis tool. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. The discussion on research ethics is certainly a nice addition to the book where many other research methods texts lack. An index/glossary is not included with the text, but the table of content clearly outlines the topics discussed for each module.

The book is overall accurate and unbiased. The book covered different social science research methods fairly. I did notice a discrepancy in Figure 5.1, where “single case study” is plotted on the graph as high in external validity, but the rest of the text frequently brought up case studies (especially single case studies) having the difficulty with generalizability which should have low external validity.

The content of the book is up-to-date. The text included relevant descriptions of current softwares commonly used in research. It will also stand against the test of time as research methods do not change drastically. The content can also be updated to reflect new technological updates. One needed update noticed is on page 120, where the authors cautioned that only smaller datasets can be stored in Excel and larger datasets needs a more elaborate database system. While the statement is still relevant, the numbers the author cited appear to be old and Excel has since been updated to handle larger datasets (1,000,000 observations and 16,000 items) than what the author had listed.

The content is written in a very clear and concise manner. It is easy to read and to follow the author’s arguments. I did not notice any jargon or technical term that was used without explanation.

The book has a modular organization, with each chapter designed to be used for a different lecture. Each chapter is a self contained unit that can be used as its own reading. Each chapter also has subsections that are clearly marked with subheadings. Important terms are also highlighted by bolding, making it easy for the reader to identify the important concepts.

The chapters of the book flows logically from one to the next. The current layout of the text groups all the data collection methods together and all the data analysis methods together. It may be clearer to have quantitative data analysis methods immediately follow quantitative data collection methods, and similarly for the qualitative data collection and analysis. This could be easily done based on the course instructor preference.

No interface issues noted.

The text is generally free of grammatical and spelling errors, with the exception of 2 minor typos noticed on page 139 (“Rik”, “riska”).

The text and examples provided are not culturally insensitive or offensive.

The text is easy to read and covers a broad and comprehensive range of topics important for research. I particularly enjoyed the discussion on research ethics which is often missing in many research methods texts. I would recommend discussing that topic earlier, together with research design, as many of these ethical issues and IRB requirements come up during research design phase. As the text is a meant to be a concise overview of the research process, the more practical topics are not covered in as much detail and would require supplementary material.

Reviewed by Brock Rozich, Instructor, University of Texas at Arlington on 4/11/17

The textbook covers the majority of what would be expected for a research methods course. It builds upon basic topics to more advanced concepts, so students from various backgrounds of research experience should still find the text useful. The glossary for the text is clear and a sample syllabus is provided by the author for individuals wishing to use this text for their course. The text was lacking an index, which would prove helpful for students.

The text is accurate and up-to-date with research methods in the social sciences. A variety of data collection methods and concepts are discussed in an easy to understand manor.

The content is up-to-date with research methods in the social sciences. The text should be able to prove useful for a research methods or as supplementary material for a statistics course for the foreseeable future. While I looked through this text with a focus on using it for a psychology course, I feel that this text would be useful across other fields as well.

The book was clear and built upon concepts in a thorough manner. Technical terms were well defined, though as mentioned previously, an index would be helpful for this text for students to look up key terms if they became lost. The text would be useful for an upper-level undergraduate or introductory graduate level course.

The text is consistent throughout. There were no notable deficiencies in any of the content provided in each chapter.

The course is broken down into logical subsections and chapters. Introductory topics relating to research methods are provided early and are built upon in subsequent chapters. A sample syllabus and course outline are provided for instructors who wish to utilize the text for their class.

The book is constructed in a well-organized fashion, without any issues of chapter structure.

The PDF version of the text worked wonderfully on a laptop, with no issues of navigation or distortion of images. This text was not, however, viewed on a tablet or e-reader, which many students use for classes. Based solely on use of a PDF file on a laptop, the interface was flawless, however, if you are considering using this for a class, I would test it out on an e-reader/tablet first to make sure there are no issues with format/text size, etc.

The book did not appear to have any noticeable grammar or syntactical errors.

There were no notable instances of cultural insensitivity throughout the text. Examples were broad and not specific to an individual race or culture.

This is a wonderful open source option for a main text for a research methods course or as a supplementary option for a statistics course that also focuses on data collection.

Reviewed by Divya Varier, Assistant Professor, Virginia Commonwealth University on 2/8/17

The textbook adequately covers most fundamental concepts related to research methods in the social sciences. Areas that would need attention: a chapter introducing mixed methods research, and a deeper discussion on Research Ethics. More social science based examples on specific research designs, experimental research would be great. The research process could include steps involved in academic research with information on the publishing and peer review process.

Content is accurate for the most part. I would have liked a more nuanced discussion of reliability and validity concepts- introducing the concept of validity as conceptualized by Messick/Kane is needed. In social science, especially education (the field I work in), masters/ doctoral students need to be introduced to the complex nature of establishing reliability and validity. While the content covered is detailed, a more critical introduction of the concepts as being situated in the obtained scores as opposed to the instrument itself would have made the chapter stronger.

Content is for the most part up to date (see above comments for specific areas: reliability, validity, mixed methods); some examples may become outdated very soon (example of political movements in middle eastern countries for example).

The writing is excellent in terms of clarity. I appreciate the use of straight forward language to explain the multitude of concepts!

The text is consistent in its overall approach to research methods as well as consistent in its use of terminology.

Bold font for key terms is appreciated. More insets/boxes within chapters would be a great addition visually. Addition of research studies and discussion questions would be great.

The chapters are well-organized. Only suggestion would be to introduce research ethics early on in the book.

No issues whatsoever in this regard.

No issues with grammar

The text is best suited for universities in western countries although I did not identify any insensitivity that would hinder teaching and learning of research methods using this textbook elsewhere.

Specific chapters in this book will be useful for me, from an instructor's perspective. For example, Chapter 2 - 'thinking like a researcher' is wonderfully written. The chapter on Interpretive Research and Qual. Data Analysis are thorough and clear in presentation of concepts- I definitely would use these chapters in my Research Methods class.

Reviewed by Rachel Lucas-Thompson, Assistant Professor, Colorado State University on 12/5/16

As acknowledged by the author in the preface, this is intended as a survey book that doesn't cover all topics in great detail. The upside is that this is a flexible text that can be used in many disciplines; the down side is that the text is short on examples, which reduces readability. I also prefer a textbook that provides a more detailed discussion of the following issues, but could supplement the textbook with these discussion in class: a) confounding variables, b) writing a research report, and the parts of a research report, c) evaluating the internal and external validity of a study, d) how we handle Likert and Likert-type scales (with better reflection of the rich controversy about this issue), e) historical background that has informed our current ethical guidelines, and f) more detail about manipulated vs. observed independent variables. Also, the 'research process' section doesn't include a step for going through IRB review and approval, so overlooks an important step in social science research. I think more detail is provided about paradigms and theories than is necessary, but those chapters and sections could be left out of course reading assignments quite easily.

In general, I think this textbook would be best suited to a course where the textbook is seen as an overview to supplement course discussions rather than a detailed coverage of research methods principles.

As far as I can tell, the book is accurate. There are some terms that the author uses that are not widely used in my field (developmental psychology, human development & family studies) but the descriptions are clear enough that I think students will be able to understand what is meant (however, it would be great to acknowledge and discuss some of these variations in terminology so the burden isn't entirely on the students who are still learning these concepts).

Research methods and statistics content are unlikely to change rapidly, although with the increasing use of ecological momentary assessments, daily diaries, and internet sampling techniques, it might be useful down the road to include more detail about those techniques.

The book is easy to read and follow, although the lack of examples to clarify concepts sometimes reduces the clarity of ideas (but is in keeping with the philosophy of the book).

I haven't spotted any problems with internal consistency.

It would be very easy to divide this into smaller reading sections and assign at different time points.

In general the organization makes sense; the only exception is having research ethics as an epilogue, when ethical issues need to be considered before a study is completed.

My two suggestions for increasing are a) hyperlinking the table of contents so that it was easier to find exactly what you want in the textbook, and b) providing a more detailed table of contents (with subheadings) so it's easier to determine where in chapters you should reference.

I haven't found any grammatical errors.

The text is neither culturally insensitive nor offensive.

I think this book is very well-suited for intro graduate level courses in research methods, as long as instructors are comfortable with this as an overview supplement rather than a detailed stand alone resource for students.

Reviewed by Robin Bartlett, Professor, University of North Carolina at Greensboro on 12/5/16

Generally the major topics are covered. The table of contents (chapter listing) makes it easy to find content. Occasionally I found what I thought was a topic covered only minimally in a chapter - but then found additional information in a later chapter (e.g., treats to internal validity). Overall I'd say in comparison to most other texts with which I am familiar that most all topics are covered, to some degree, but some topics are covered less than I would expect in a doctoral level textbook.

I found no errors in fact in the textbook. I found it to be written in an accurate and unbiased manner.

Primarily due to the topic covered (research methods), I do not believe the text will become obsolete in a short period of time. I think updates could be easily added, and if the author decided to cover some topics more thoroughly, that could be accomplished relatively easily, too.

The book is written in an easy to read style. It is easy to understand. Technical terminology is explained appropriately. The author puts many words in bold type and then defines or describes the word. Students will like this approach.

I had no issues as I reviewed the book in terms of consistency of terms used. The text is internally consistent.

The chapters of the book are separated by natural divisions. It would be easy to use this book in a course on research methods, in fact, there is a syllabus included at the end of the book that could be used by a faculty member when course creating.

The textbook topics are presented in a logical fashion. The ordering isn't necessarily the same order I have seen in other texts, but the order is reasonable.

I had no major interface problems as I reviewed the book. Some of the diagrams in the book are a little out of focus, but, they are still readable.

I found no grammatical errors in the sections of the book that I read.

I found no cultural insensitivity in the text. I noticed the examples cited were from articles written by authors from different countries.

The book is easy to read and fairly comprehensive in terms of topics covered. Some topics are covered in less detail than in some other books I've had the chance to read / review. I am most accustomed to finding discussion of theories in separate texts and presentation of statistics that might be used to analyze quantitative data in separate texts. There are even a couple of chapters on qualitative methods in this book. So, the book covers a wide variety of topics and introduces them in a clear way. Topics are not covered in as comprehensive way as in many texts.

Reviewed by Kelly Pereira, Assistant Professor, The University of North Carolina at Greensboro on 12/5/16

This text offers a comprehensive overview of social science research methods appropriate for advanced undergraduate and graduate students. The text covers the basic concepts in theory, research design and analysis that one would expect of a text geared toward the social sciences in general. The text could be easily adapted and/or supplemented to fit any discipline-specific needs. While the text covers a broad array of topics, it is a bit superficial and lacks depth in some areas. More examples and case studies, for example, could improve the text's thoroughness. The text also lacks an index, glossary and discussion questions, all of which would have been quite useful for a text of this nature. I do like that it includes a chapter on research ethics and an appendix with a sample syllabus, however.

Based on my review, the text's content is accurate, error-free and unbiased. I liked that it presented both qualitative and quantitative research methods fairly, as this divide is often a source of bias.

The text contains up-to-date approaches to research methods and presents classic theoretical debates. The methods presented should not become obsolete in the near future. Any new trends in research methodology could be easily updated in future versions of this text. I feel the text will be relevant and useful for multiple years.

The text is generally well written. It presents the information in a clear and concise way. I find it provides sufficient contextualization and examples for graduate students with some background already in research methods. Undergraduates will likely require supplemental materials and additional case studies to grasp some of the concepts covered. The illustrations do help guide understanding of concepts presented.

The terminology and research methods frameworks presented in the text are consistent. The use of bolded terms and illustrations throughout the text provide additional consistency.

The division of the text into the following sections: theoretical foundations, concepts in research design, data collection and data analysis, make it easy for instructors to structure a course and assign readings based on these main foundational areas. This format also enables instructors to easily supplement with other materials.

Overall, this is a well-organized text. Bolded words/phrases throughout the text provide some structure to guide reading. The text is divided into 16 chapters, which corresponds seamlessly with a 16-week semester. This enables instructors to cover one chapter per week, if they so desire, or optionally spend more time on chapters relevant to their course and exclude others. As mentioned earlier, the logical division of the text chapters into the areas of theory, research design, data collection and data analysis, lends to a soundly-structured course and facilitates the assignment of readings and other coursework.

I did not experience any issues with the text's interface, navigation or displays of images/illustrations. The text is in PDF format.

I did not notice any grammatical errors that impeded reading of the text.

I did not come across any culturally-insensitive or offensive passages in the text.

Reviewed by Peter Harris, Assistant Professor, Colorado State University on 12/5/16

This is a comprehensive overview of research design and research methods in the social sciences. The book's introductory sections offer a discussion of the philosophy of science, the history of science, and definitions of some key terms and concepts, which will help students to contextualize their own endeavors - and their own discipline(s) - inside a larger framework. It also tackles the more familiar topics of research design - conceptualization, measurement, sampling, and so forth - and several specific approaches to data-collection. Overall, then, the book is to be commended for tackling both the philosophical issues at stake in research design as well as the 'nuts and bolts' (or 'brass tacks') of actually doing research.

One of the book's touted selling-points is its focus on phases of research that precede data collection. That is, the book aims to train students not only in research methods, but also in the critical tasks of theorizing problems, generating research questions, and designing scientific inquiries - what the author refers to as 'thinking like a researcher.' This is certainly a welcome addition to a textbook on research design, and ought to help students to overcome some familiar stumbling blocks that seem to present themselves during graduate programs.

Because of its breadth, however, parts of the book can sometimes seem thin and underdeveloped. In particular, the chapters on data collection (specific research methods) are less detailed and comprehensive than other books manage to provide. It is hard to give a detailed 'how to' guide to either survey research, experiments, case studies, or interpretive methods in just 10 pages. As a result, instructors will almost certainly want to supplement this book with more detailed material, perhaps tailored to their specific discipline.

Even so, this book is an excellent backbone for an undergraduate or graduate class on research methods. It will have to be read in conjunction with discipline-specific guides to conducting research (and, most likely, alongside examples of good and bad research), but this does nothing to detract from the book's own value: it will certainly offer a valuable overview of key concepts, ideas, and problems in research design and data-collection, and will serve students throughout the duration of their studies and not just for one class.

This book is accurate, error-free, and as unbiased as it is possible to be in the social sciences. Of course, it is possible to imagine those who simply hold different views about what social science "is" or should be; some scholars might bristle at the notion that only knowledge produced according to the narrow strictures of the scientific method can be considered "scientific knowledge," for example, while others might balk at interpretivism being given parity of esteem with what they see as more rigorous methodological practices. But for the broad mainstream of the social sciences, there will be little in this book that stands out as unusual, controversial, or one-sided.

On the whole, the content of this book will remain relevant for a long time. After all, the basics of the scientific method and the fundamentals of research design seem unlikely to change in the foreseeable future. New and cutting-edge strategies of data collection and theory-testing do emerge, of course, but these are probably best delivered to students in the form of discipline-specific books or articles that could be assigned to complement this textbook, which deals more with foundations than it does with current debates.

The book is organized well and information is presented in a clear way. The prose is accessible and each chapter proceeds methodically.

This text is certainly consistent, and proceeds according to a methodical and logical structure. Key terms and concepts are introduced early on, and there are no 'surprises' in later chapters.

This book is organized into chapters, each of which could be used as the keystone reading for a given class session, and each chapter is broken down in easy-to-digest sections, making the book as accessible as possible. The fact that there are 16 chapters mean that the book could support 16 separate class sessions - that is, just enough to orient classroom discussion for an entire semester. That said, each module does not comprise sufficient material for a whole week; the chapters will need to be supplemented with extra reading material, especially in graduate seminars. It is unlikely that instructors will want to assign only part of a given chapter. Overall, the text reads well as a whole and in terms of its individual chapters.

The chapters for this book are organized into five sections: the introductory section, a section dealing with the basics of empirical research, sections on data collection and data analysis, and a final section that deals with ethics in research. This is a sensible and logical structure for the book, and nothing seems out of place. Again, the book is an accessible and smooth read; it will pose no challenges to an informed reader, and there will be nothing in the organization of the book that will be distracting or irritating.

As a single PDF, this book is easy to navigate.

I noticed no spelling or grammatical errors in this well-written book.

I can detect no culturally insensitive or offensive remarks in this book.

It is worth mentioning that this text ought to serve students well throughout their undergraduate studies, graduate careers, and beyond. It is a timeless - if necessarily limited - resource, and be returned to again and again.

Reviewed by Tamara Falicov, Associate Professor, University of Kansas on 8/21/16

The book is divided into sixteen chapters, which seemed a bit intimidating at first. I later realized that they are not necessarily very long chapters; it varies in terms of the topic. This makes the book quite comprehensive in that the book could be used for the length of the semester, one chapter per week. This is a useful model and one can add or subtract if needed. For example, the beginning chapter which discusses what science is and uses vocabulary from the hard or natural sciences may not necessarily be relevant in a social science course, but the author is being comprehensive by explaining the origins of science and the creation of the scientific method.The vocabulary in bold is extremely effective throughout the book.

The book is meticulously researched and I did not note any egregious statements or inaccuracies. There was one strange sentence when the author was trying to contrast a liberal to a conservative’s viewpoint on page 18 that made this reader feel a bit uncomfortable in how one ideological viewpoint was portrayed, but I’m not sure it was necessarily bias; perhaps just the writing was a bit heavy handed

The book makes sure of updated case examples, discusses how students utilize the internet for research, etc. The theories outlined here are the classic important debates, and the breadth of knowledge the author imparts is extremely comprehensive and up to date. this book could definitely stand on its own for many years before changes in the field might necessitate updating.

I found the textbook to be a refreshing read. The writing is very accessible and clear, but can be dense at times (though not in a problematic way—it means that with some of the more challenging material, the students will have to dig a little deeper to glean the information. The writing was very crisp, and to the point.

The book is written in a careful, consistent manner. As mentioned earlier, the vocabulary words in bold are consistent signposts, and there are citations (not too many, not too few) that help structure the book and provide a cogent framework. Sometimes there are summaries and bullet points, and other times there aren’t, so this is not exactly consistent, but it doesn’t detract from the overall work.

The chapters are excellent stand alone essays that could be used interchangeably. Some of them, such as the first chapter, is historical and philosophical, but not essential to understanding social science research methods. The second and third chapters are excellent for the researcher who is just starting out to formulate a research question. It helps them to think about the various theories and approaches available to them in terms of the angle, focus and methodology selected. The later chapters explain in greater detail various kinds of methods such as how to measure constructs, and scale reliability. These are higher order concepts which would be useful to graduate students—chapters 1-3 could not only work for graduate students, but also for upper division undergraduates.

The book was structured in a logical progression. There were no problems there. There was some repetition with various terms such as Occum’s razor, but this is because there is some overlap with concepts which I think is fine, given that some chapters may not be used in the course of a semester.

No problems with typeface, the diagrams and graphs are incredibly useful in breaking down more complex research methods.

There were no problems with syntax, grammar, spelling that I came across, except for a minor typo in chapter 9 in the table of contents.

I felt that the author was careful in his selection of case students to try to be inclusive and culturally sensitive. There was that one sentence that raised eyebrows about liberals versus democrats that I mentioned previously, but it wasn’t a major deal.

I found this book to be extremely useful and of high quality. I will to recommend it to a colleague who is teaching research methods next semester in a different department.

Reviewed by Yen-Chu Weng, Lecturer, University of Washington on 8/21/16

Dr. Bhattacherjee’s book, Social Science Research, is a good introductory textbook for upper-level undergraduate students and graduate students to learn about the research process. Whereas most research methods textbooks either focus on “research design” or on “data analysis”, this book covers the whole research process – from theories and conceptual frameworks to research design, data collection, and analysis. This book is structured as four modules and is very adaptable to instructors who want to teach any portions of the book.

Social science is a quite diverse field, including studies of socio-economic data, human behaviors, values, perceptions, and many others. Not only are the topics wide-ranging, but the research methods and the underlying philosophy of science also vary. Therefore, it is extremely difficult to write a textbook that includes everything. Dr. Bhattacherjee’s book is a nice overview of all these different methods commonly used in the social sciences. It aims for breadth, but not depth. Once could use this book as an entry to the field, but would need to seek additional resources for specific methods or analytical skills.

Based on my review of the book, the content is accurate, error-free and unbiased. However, better consistency with terminology often used in other related fields (such as statistics) would lessen students’ confusion with concepts.

Research methods are not time-sensitive topics and are not expected to change much in the near future. The inclusion of some cases or examples showcasing how social science research methods can be applied to current events or topics would help illustrate the relevance of this book (and social science research).

The book is very clear and accessible. It’s written in a way that is easy to understand. Important terminologies are bolded and these are good signposts for key concepts. A glossary summarizing definitions for the key terminologies would help students understand these key concepts. The book includes some helpful figures illustrating concepts in research design and statistics.

Overall, the book is very consistent.

The author, Dr. Bhattacherjee, structured the book following the research process – from theories, to research design, data collection, and analysis. Each module can be a standalone unit and is very adaptable to instructors who want to teach with either the whole book or individual modules. Although each module is mostly self-contained, it is impossible not to refer to other chapters since research is an iterative process. However, I do not expect this to be a huge problem for someone who wants to teach only a section of the book.

The fact that this book is structured as modules also makes it expandable. For those who want to teach only the philosophy of science or only the research design portion, they can add more details and in-depth discussion to these topics.

The book is well-organized and flows well with the research process. The chapters are clearly titled as well as the subheadings. Some numbering with the subheadings would help with navigation. In addition, a chapter summary/conclusion would also help with summarizing the main concepts of a chapter (some chapters do have a summary, but not all chapters).

The flow of the first module (Introduction to Research) is sometimes confusing – the book jumps between big ideas (scientific reasoning, conceptual framework) and specific details (variables, units of analysis) several times in the first four chapters. I thought that reorganizing the chapters as Ch1, Ch4, Ch3, Ch2 would flow better (from big ideas to specific details).

Since the book is organized by the research process, not by the type of research (qualitative vs. quantitative), Module 3 (Data Collection) and Module 4 (Data Analysis) cover both types of research. As a result, the flow/connection between each chapter are less clear. By reorganizing these two modules into “qualitative research methods and data analysis” and “quantitative research methods and data analysis”, not only would improve the flow of the book, but also better serve researchers who are interested in a particular type of research.

There are no major problems with the book’s interface. Each chapter is clearly titled. I would like to see the subheadings being numbered as well. If the PDF could have the Table of Contents on the sidebar, it would improve the navigation even more.

There are no grammatical errors noticed.

There are no culturally insensitive or offensive materials noticed. The few examples used in the book are very general and not controversial.

This book is a nice walk-through guide for researchers new to the field of social science research. One thing I would recommend adding is examples and cases. With more examples and cases, students would be able to put research methods into context and practice how they can apply the methods to their own research projects.

Reviewed by Dana Whippo, Assistant Professor of Political Science and Economics, Dickinson State University on 1/7/16

For its purpose, as introduced by the author, this is appropriately comprehensive. However, it is much more brief, more concise, than traditional research methods texts for undergraduates – which the text does not claim to be. It lays a sufficient foundation, with room and expectation for the professor to supplement with additional materials. Supplementing would be important if using this in an undergraduate classroom. I appreciate that the author emphasizes the process of research, and takes the time to address, in the first four chapters, the logic and process of research in a way that allows the text to be used in multiple disciplines. Indeed, this is one of the strengths of the book: that it can be used broadly within the social sciences. The text does not provide either an index or a glossary. This is more challenging when planning for its use in an undergraduate research methods class; however, I think that the strengths of this book outweigh the weaknesses.

I have not noticed any errors or bias. The only issue I’ve noticed, as indicated in other parts of the review, is depth. Doctoral students would bring in a sufficient foundation for reading this on their own; undergraduates will need scaffolding and additional resources to competently understand the complexity inherent in research.

The content does not read in a way that seems (either now or in the future) likely to read as dated or obsolete. The discussion of survey methodology and analysis programs will change with technology, but that should be easy to update. One of the book’s strengths is its focus on the foundation of research methods: the relationship between theory and observation, the understanding of science, and the logic that underlies the process of research.

The book is well-written and concise. Bearing in mind the author’s stated target audience of graduate and doctoral students, it is entirely reasonable that this would require additional work and instructor support (extra time and explanations for definitions and examples, for instance) when used in an undergraduate classroom.

The terminology is consistent throughout.

Faculty would be able to easily divide the text into smaller sections, which would be useful as those smaller reading sections could be combined with targeted supplementary materials.

The topics generally flow well as presented; the only exception is having the section on research ethics at the end. However, this chapter would be easy to assign earlier in the semester.

I did not have any problems with respect to interface issues.

I did not notice any grammatical errors that interfered with the reading process.

I did not notice any offensive comments or examples. The book is brief by design; it does not include the numerous examples that populate the traditional undergraduate research methods text. I did not find it offensive or insensitive.

Reviewed by Andrew Knight, Assistant Professor of Music Therapy, Colorado State University on 1/7/16

I have not seen a more comprehensive text for this topic area, and yet it retains a concision that I would have appreciated as a PhD student when I took courses in research methods. I think that the text may lend itself to several different types of courses. The early chapters can by used for more theoretical research courses, especially for new researchers and fundamentals of research courses. The later chapters can be used for "nuts and bolts" courses for addressing specific methodological issues. The appendices are an especially nice touch and added value for faculty to understand how the author uses this text and creates a syllabus to complement it.

There are very few typographical errors, and overall, the text is rigorously unbiased in its scientific method claims and explanations.

The overwhelming majority of the content in this text is classical understandings of research and methodologies that are essential to all graduate students, particularly in business and the social sciences. There is no indication that any of the content will suffer from claims that it is obsolete or irrelevant.

The clarity of the text is sound partly due to the concision of the book. Shorter chapters, easily navigable paragraphs, and other compositional devices make the text accessible to most levels of graduate students. The bolded words invite the reader to create a self-guided glossary, not any different than a textbook in an 8th grade student collection, which is helpful to counter the sometimes sophisticated nature of research theory.

No consistency issues noted.

The chapters have a nice flow to them, and can be "chunked" out for use in more beginner or more advanced courses. One preference of this reviewer would be to assign the ethics in research chapter earlier in the course calendar, and thus earlier in the textbook, so it is part of the foundational aspects of understanding social science inquiry. Meanwhile, the qualitative and two separate quantitative chapters play well together for students who will want to review them before exams or after the course is finished while they pursue a thesis/dissertation.

Again, I think the ethics chapter should be earlier, but that is simply a personal choice and can be altered by my syllabus. One issue that I wonder if graduate students might prefer is if they are not already 13 chapters into a text/course and only then are they getting to a basic concept such as measures of central tendency. Offering some of the nuts and bolts of research methods earlier in the text and tying them into the more theoretical concepts might help with clarity of flow for the typical graduate student.

No issues, nice charts and graphics throughout.

Very few noted.

This text is not insensitive in any way. As a matter of fact, pointing out historical issues in research ethics using some sensitive vignettes actually heightens the importance of research in everyday life.

I'm looking forward to adopting it for courses and using it for my own reflections on research!

Reviewed by Allison White, Assistant Professor, Colorado State University on 1/7/16

This text covers a wide array of topics relevant to social science research, including some that are not traditionally included but are welcome additions, such as a chapter dedicated to research ethics. A sample syllabus for a graduate course on research design is also offered at the end of the book, facilitating course development. The book is comprehensive in its treatment of the central components of research design and the different methodological strategies that researchers can leverage to investigate various research questions. Notably absent, however, is an index, glossary of terms, or questions for discussion, which are frequently included in textbooks devoted to research design.

The content is accurate and unbiased, which may be particularly important for texts on research design, as many fields within social science are intractably polarized between quantitative and qualitative approaches. The book goes a long way toward bridging that gap by treating the multitude of methodological orientations fairly and without obvious preference for one or another.

This book will stand the test of time due to its comprehensiveness and fair and balanced approach to research design. Both cutting-edge and classic approaches to research are discussed and the book may be easily updated as warranted by important developments in the social sciences.

The text is written clearly and accessibly, providing adequate context for most of the jargon and technical terminology that is covered. For this reason, it seems suitable for a variety of graduate-level courses, including research design survey courses and more advanced courses focusing on specific approaches.

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

The book neatly compartmentalizes the topics, making it easily divisible into smaller reading sections that can be assigned at different points within the course. The individual chapters stand on their own and do not require contextualization. Numerous sub-headings throughout each chapter flag the central themes.

The topics in the text are presented in a logical, clear fashion. The topics build productively throughout the textbook, beginning with the basic concepts of research design and culminating with different strategies to approach research.

The book's interface is seamless. Charts and images appear appropriately sized and undistorted and the text is free from navigation problems.

The text does not contain conspicuous grammatical errors.

The text and examples provided in it are not culturally insensitive or offensive in any way. Examples are drawn from universal theories rather than research that is culturally-specific.

Reviewed by Jim Hutchinson, Lecturer, University of Minnesota on 6/10/15

This text covers all the basic concepts expected in a book on social science research. However, it does so at a fairly superficial level. The author says this was intentional in order to provide coverage of essential topics and not distract students. As such, the book seems to do a good job introducing all the essential concepts for graduate research, but supplemental materials are likely needed depending on instructor or student needs.

The book seems to free of errors and bias.

Social science research isn't likely to change greatly so this text should remain relevant for some time and can easily be updated to accommodate new techniques as they arise.

The book is generally well-written and accessible. The writing is clear and there are sufficient examples to help students grasp concepts.

The text appears consistent with others in the field.

The text may be best used as an overview of the research process in social sciences rather than a reference. However, various chapters could also be used alone or as supplement to other materials and excluding chapters not relevant to a particular course should not cause any issues. The author even mentions excluding certain chapters that are actually full courses where he teaches.

The organization and sequence seems very logical.

I accessed the PDF version and did not experience any issues with text or graphics.

I think a good proofread would help. There are a number of places where extraneous words were left in (perhaps when rewriting and changing the structure of a sentence) or where words are not quite right. For example:

"...a researcher looking at the world through a “rational lens” will look for rational explanations of the problem such as inadequate technology or poor fit between technology and the task context where it is being utilized, while another research[er] looking at the same problem through a “social lens” may seek out social deficiencies..."

Such errors are not really problematic but they are a bit distracting at times.

I did not find the book to be insensitive or offensive. Examples used are fairly benign. For example, when discussing the tendency of lay people to view a scientific theory as mere speculation the author uses an example of teacher practice instead of a more charged example such as evolution.

Overall, this is a good book to introduce graduate (and even undergraduate) students to social science research. It is not comprehensive enough to be the only text students encounter, but it would be sufficient for say master's level programs that focus more on capstone or practical "informed by research" projects. Students planning to conduct original research, analyze data and interpret results will likely find this insufficient.

Reviewed by Paul Goren, Professor, University of Minnesota on 7/15/14

This text introduces social science doctoral students to the research process. It can be used in sociology, political science, education public health, and related disciplines. The book does an excellent job covering topics that are too often neglected in research methods classes. Standard texts devote most of their attention to different modes of data collection (e.g, lab experiments, field experiments, quasi-experiments, survey research, aggregate data collection, interpretive and case study methods, etc.). This book covers these materials but also devotes a lot of time to steps in the research process that precede data collection. These steps include formulating a research question, concept definition, theory elaboration, measurement (including reliability and validity) and sampling. There is also cursory coverage of descriptive statistics and inferential statistics (a chapter on each) as well as chapter on research ethics. In terms of coverage, then, the text can be described as comprehensive in terms of topics. In terms of depth of coverage of the topics, the text takes a minimalist approach. That is, the fundamentals of each topic are covered, but there is little discussion beyond the basics. Teachers looking for the perfect text that nails all the key points should look elsewhere or make heavy use of supplements. For instance, in the discussion on concepts, constructs, and variables, the text does not distinguish between latent variables, which are unobservable, and manifest variables, which are observable, as is common in the structural equation modeling tradition used in sociology and psychology. This is a minor omission and there are others one might quibble with. The bottom line is that most key topics in the research process are covered, but the coverage is not terribly deep.

From what I can tell, the book is accurate in terms of what it covers. There are some things that should probably be included in subsequent revisions.

The social science research process is unlikely to change in any signfiicant way for some time; therefore, I suspect the book will be relevant for years to come. The key will be ensuring that the latest research trends/improvements/refinements are added to the book. For instance, internet sampling techniques have come a long way over the past decade and there are now pollng firms that can admister online surveys to representative samples of the broader U.S. population. So long as the author keeps on these develops, this will serve as a useful introductory text for the foreseable future.

This text is extremely and unusually well-written and clear. This is one of the text's greatest selling points. No complaints on this score.

The book is very consistent from what I can see.

This book can work in a number of ways. A teacher can sample the germane chapters and incorporate them without difficulty in any research methods class.

The organization is fine. The book presents all the topics in an appropriate sequence.

The interface is fine. I didn't experience any problems.

I didn't see any errors, it looks fine.

The book is not culturally offensive.

Teachers looking for a text that they can use to introduce students to the research process and cover the foundational components of the research process should find this manuscript sufficient for their needs. Simple additions on slides or class room commentary can easily take care of the various omissions that pepper the text. Indeed, one could use this text in conjunction with discipline specific supplements quite effectively. For instance, in chapter 3 on the research process, the author devotes 5 paragraphs to common mistakes in the research process, such as pursuing trivial research questions or blind data mining. I can see how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to their students particular needs. More generally, I suspect that the text could be used in conjunction with germane discipline specific materials quite effectively in research methodology classes. The book is not perfect. I wish there was more discussion on field experiments in the experiment chapter. Other than a brief mention that these are relatively rare, there was nothing. These are indeed relatively rare but that seems to be changing in some fields (e.g. economic, political science), and I think more discussion of this technique is warranted. The chapter on case study methods would benefit from discussion on the historical and comparative methods that are used in various social science disciplines, as well as some discussion on case selection methods. The statistical coverage is very thin and should not serve as the primary source material in any class that covers statistics. For instance, the discussion on the empirical assessment of reliability (for items or scales) does not discuss in depth the assumptions that underlie the various methods nor the modifications that need to be made across different levels of measurement. To take another example, the author presents the formulae for the variance and standard deviation on p. 122 with the customary n-1 in the denominator. Students often ask me why we divide the mean squared deviation by n-1 instead of n, which is what we do for the mean. Professors will need to make sure that their slides include discussion of the degrees of freedom idea and perhaps some discussion on unbiasedness as well. In the inferential statistics chapter there's no discussion on desirable properties of estimators (unbiasedness and efficiency). This is an unfortunate oversight. These could be added very easily using simple graphs. One thing that's lacking is a chapter on statistical graphics. The book makes great use of graphics and other visual aids throughout the chapters, but I wish there as a standalone chapter that introduces simple plots for univariate and bivariate data. This can be supplemented easily enough, but the omission seems odd. Again, this book can serve as an compact introduction in a graduate research methodology class for students across the social sciences, but it would work best in conjunction with deeper and more discipline specific materials prepared by the professor.

Reviewed by Anika Leithner, Associate Professor, California Polytechnic State University on 7/15/14

This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. What I liked in particular is that the author includes information on the ENTIRE research process, including critical thinking and research ethics, in addition to the "nuts and bolts" of research such as operationalization, data collection, and data analysis. I also find it useful that the author includes sections on both qualitative and quantitative research, which is great for an introductory level course. In general, readers can expect to find information on theory- and hypothesis building, operationalization/measurements, sampling, research design, various data collection strategies (e.g. surveys, experiments, etc.), as well as data analysis. The primary reason I did not give this text 5 stars is that the author does not provide a great amount of detail for a lot of the book's sections. He explains in the preface that he purposefully chose to reduce the text to the basics in order to keep the text compact and clutter-free. In general, I tend to agree with this approach, as so many methodology textbooks seem to get lost in examples and case studies without clearly illustrating the research process as a whole. However, as I was reading through this book, I kept thinking that I would need to supplement multiple areas of this book with more information in order to make it truly accessible to my students. To be fair, I think that A) anyone who has taught methods before would be able to use the "bones" of this book to prepare students sufficiently well for class and then easily fill in the blanks, and B) it appears that this text was written primarily with graduate students in mind, whereas I most teach undergraduates. In all, I still think that this is a great free alternative to many textbooks out there, but if your teaching style depends on your text including a lot of explanation and examples (or even applications), then this is likely not the text for you. Finally, this book does NOT include an index or a glossary. Personally, I did not find this to be a problem, as the outline/table of contents is very useful, but perhaps students using the text could benefit from an index that would allow them to quickly look up what they need to know.

I did not detect any errors or any purposeful bias in this textbook! Some readers might find that the author's choice of terminology does not necessarily match what I would consider standard practices in the broader social sciences (e.g. the use of the term "mediating variables" instead of "intervening variables"), but it is always clear what the book is referring to and it shouldn't be too difficult to bridge this "terminology gap." Occasionally, I was a bit puzzled by a definition or an explanation. For instance, the author states that "control variables" are not pertinent to explaining the dependent variable, but need to be taken into consideration because they may have "some impact" on it. I'm assuming the author means that they are not pertinent to the hypothesis being tested (as opposed to them not being pertinent to the explanation of the dependent variable). This type of ambiguity does not occur very often in the textbook and it does not necessarily represent an error. It merely seems to be an issue of miscommunication. Overall, I very much liked this text for its accuracy.

Luckily, research methods do not change drastically in a short period of time, so I expect the longevity of this book to be very high. In my experience, the biggest factor that can make a research text outdated is the use of up-to-date examples and case studies. This text includes very few of either, so I think this text could be used for many years to come.

The book is very clear and accessible, probably largely due to its minimalist approach. Aside from the above-mentioned deviations from broader social sciences terminology on a few occasions, I did not encounter any problems with the jargon/technical terminology used. The only minor problem I noted (which made me I've a ranking of 4 as opposed to 5) was a certain amount of repetitiveness in the earlier chapters, specifically with regard to positivism/post-positivism and the discussion of theory/hypothesis creation and testing.

The book is very consistent. It has a clear outline that matches the natural research process and the author very consistently adhere to this outline. Chapters naturally flow from one another and are logical.

This book is very well organized and easily accessible due to its division into logical chapters and sub-sections. In addition, the author highlights important concepts in bold, making it even easier to follow along. I would have no problem assigning smaller reading sections throughout the quarter/semester.

As mentioned above, the text is very well organized and flows naturally/logically. It follows the research process from critical thinking, conceptualization, to operationalization/measurements, research design, data collection, and data analysis. Research ethics are discussed in an appendix/addendum.

There are no major problems with the book's interface. Occasionally, graphs and tables are not as crisp and visually appealing as they might be in an expensive textbook, but personally, the ability to assign an open source text to my students far outweighs any concerns I might have about the visual attractiveness of a book. This text is easy to read and quite user-friendly.

I detected no grammatical errors.

The text includes very few examples and it is hard to imagine how research methods in general could be offensive to anyone (unless it is the practice of science itself that offends them), but for completeness' sake, allow me to state that I found no instances of insensitivity or offense in this textbook.

This text covers all the basics of the research process. It does not contain a lot of the "bells and whistles" that the expensive traditional textbooks have (e.g. lots of examples, fancy graphs, text boxes with case studies and applications, etc.), but it certainly gets the job done. Personally, I appreciate the compact nature of this text and I would much rather fill in a few gaps on my end, if it means that I can assign my students an open textbook.

Reviewed by Brendan Watson, Assistant Professor, University of Minnesota on 7/15/14

See overall comments. read more

See overall comments.

Dr. Bhattacherjee's "Social Science Research: Principles, Methods, and Practices," is a comprehensive, but a bare-boned (and generic) introduction to social science research. In this case "generic" is actually a positive attribute: because the text covers social science research broadly, rather than sociology, psychology, etc. specifically, this text can easily be adapted to the needs of basic research methods courses in allied disciplines. (I teach an introductory quantitative research course for master's and Ph.D. students in a School of Journalism & Mass Communication). I describe the text as comprehensive, because if my students got a basic grasp of all of the concepts in the book, they'd be well positioned to continue on to more advanced research courses (though the text is less valuable as a reference than more comprehensive introductory texts). But while Dr. Bhattacherjee's introduction says that the book is bare-boned by design -- "I decided to focus only on essential concepts, and not fill pages with clutter that can divert the students' attention to less relevant or tangential issues" -- some topics deserve more attention. For example, Institutional Review Boards (IRB) receive only two short paragraphs, and there is no mention of the history of why such boards were deemed necessary and play an important role in the research process. I'd consider such knowledge essential for students, and this is the type of information I would like a text to focus on so that I can spend class time reviewing more complicated concepts students might have trouble grasping on their own. (Generally I found the writing to be approachable, and concepts to be well explained, though extensive examples are also part of the "clutter" omitted from this book). Another topic I would have liked to see developed further - and perhaps is especially important to the more digitally-savvy crowd interested in the open textbook movement - is the expanding role of the Internet and digital technologies in the research process itself, particularly in the era of "big data." The text, for example, mentions Internet surveys, but there is no conversation about tools one can use to build an Internet survey; how Internet surveys differ from traditional modes of surveying; or the practice of weighting Internet survey results to make them "representative" of the larger population. That said, I am balancing using this text versus a more comprehensive, but much more expensive, commercially produced text. Another thing that this book is missing are instructional resources that commercial publishers provide, but ultimately by using this text I can contribute to creating greater value for my students. However, it would have to be supplemented heavily with other materials, as well as lectures, which is not without a trade-off cost. It's certainly doable, but ultimately means a greater investment of my time, and I have to weigh investing my time in creating hands-on learning opportunities and providing students with thorough feedback on their work with the time I'd have to invest in using a text that is complete, but needs to be much more heavily supplemented with additional materials. Ideally, several faculty with similar teaching needs would team up to combine and adapt several open texts to their courses' needs. Adapting and supplementing this text for my purposes by myself, however, remains a steep, if not insurmountable task for a tenure-track professor. This text, however, is thorough enough to maintain my interested in trying to find a way to make it work.

About the book.

Part I. Main Body

Science and scientific research
Thinking like a researcher
The research process
Theories in scientific research
Research design
Measurement of constructs
Scale reliability and validity
Survey research
Experimental research
Case research
Interpretive research
Qualitative analysis
Quantitative analysis: Descriptive statistics
Quantitative analysis: Inferential statistics
Research ethics

Ancillary Material

This book is designed to introduce doctoral and postgraduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioural research, and can serve as a standalone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently being used as a research text at universities in 216 countries, across six continents and has been translated into seven different languages. To receive updates on this book, including the translated versions, please follow the author on Facebook or Twitter @Anol_B.

About the Contributors

Anol Bhattacherjee is a professor of information systems and Citigroup/Hidden River Fellow at the University of South Florida, USA. He is one of the top ten information systems researchers in the world, ranked eighth based on research published in the top two journals in the discipline, MIS Quarterly and Information Systems Research , over the last decade (2001-2010). In a research career spanning 15 years, Dr. Bhattacherjee has published over 50 refereed journal papers and two books that have received over 4,000 citations on Google Scholar. He also served on the editorial board of MIS Quarterly for four years and is frequently invited to present his research or build new research programs at universities all over the world. More information about Dr. Bhattacherjee can be obtained from his webpage at http://ab2020.weebly.com .

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189+ Best Social Science Research Paper Topics For Students

Post author By Pooja Barman
October 23, 2023

Social Science Research Paper Topics can be intriguing, insightful, and engaging, offering students an opportunity to explore a wide range of subjects that impact our society. Are you looking for the most interesting and good topics for a sociology research paper?

If yes, in this article, we will explore what Social Science Research Paper Topics are, provide guidance on how to choose and find them, and discuss why they are beneficial for students.

Additionally, we’ll present a comprehensive list of research paper topics across various social science fields.

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Table of Contents

What Are Social Science Research Paper Topics

Social Science Research Paper Topics are subjects, questions, or themes within the realm of social sciences that students investigate and write about in research papers. These topics cover a broad spectrum of disciplines, including sociology, psychology, anthropology, economics, political science, and more.

They aim to shed light on various aspects of human behavior, society, and culture, offering valuable insights and understanding.

How to Choose and Find Social Science Research Paper Topics

Selecting an engaging and relevant social science research paper topic is crucial for a successful paper. Here are some tips on how to choose and find the right topic:

1. Identify Your Interests

Start by considering your personal interests within the social sciences. What subjects or issues captivate your attention? Choosing a topic you’re passionate about will make the research and writing process more enjoyable.

2. Review Course Material

Reflect on what you’ve learned in your social science courses. Often, your coursework can spark ideas for research topics based on your studies and readings.

3. Current Events and Trends

Stay informed about current events and societal trends. These can provide inspiration for research topics that are both timely and relevant.

4. Consult with Professors

Seek guidance from your professors or advisors. They can offer suggestions and help refine your topic ideas.

5. Consider Feasibility

Ensure that your chosen topic is manageable within the scope of your assignment. You should be able to find sufficient research material and complete the project within the given timeframe.

6. Narrow or Broaden Your Focus

Depending on the assignment’s length and requirements, you may need to narrow down a broad topic or expand on a more specific aspect of a larger subject.

Now, let’s dive into a comprehensive list of Social Science Research Paper Topics across various fields:

Sociology Research Paper Topics

Income Inequality and Social Mobility
The Impact of Immigration on Host Societies
Gender Roles and Stereotypes in Society
Social Isolation in the Digital Age
Social Media’s Influence on Political Movements
Social Media and Self-esteem: Impacts on Mental Health
Gun Control Policies and Their Effects on Society
The Sociology of Protests and Social Movements
The Role of Religion in Social Cohesion
Cultural Appropriation and Its Social Implications

Psychology Research Paper Topics

The Psychology of Resilience in Adversity
Cognitive Behavioral Therapy for Anxiety Disorders
Effects of Childhood Trauma on Adult Mental Health
Cross-Cultural Differences in Psychological Disorders
The Psychology of Prejudice and Discrimination
Positive Psychology and Well-being
The Impact of Technology on Cognitive Abilities
Child Development and Attachment Theory
The Psychology of Prejudice in Online Communities
Understanding and Addressing Teenage Depression

Anthropology Research Paper Topics

Cultural Relativism and Ethical Dilemmas
Indigenous Knowledge and Sustainability
Human-Environment Interactions in Archaeology
Anthropological Perspectives on Global Health
Cultural Change and Adaptation in the Modern World
Urban Anthropology and the Study of City Life
Ethical Dilemmas in Anthropological Research
Indigenous Knowledge and Sustainable Agriculture
Anthropology of Food and Cultural Significance
Archaeological Methods and Discoveries

Economics Research Paper Topics

The Economic Impact of Natural Disasters
Minimum Wage Policies and Their Consequences
Behavioral Economics and Consumer Decision-Making
The Gig Economy and Labor Market Trends
The Economics of Healthcare and Insurance
Global Economic Recession: Causes and Impacts
Economic Consequences of the COVID-19 Pandemic
Economic Inequality and Social Unrest
Behavioral Economics and Decision-Making in Investment

Political Science Research Paper Topics

International Diplomacy and Conflict Resolution
Political Polarization and Its Effects on Governance
Comparative Analysis of Political Systems
Global Governance and International Organizations
Political Propaganda and Media Manipulation
Women in Politics: Representation and Challenges
Political Extremism and Counterterrorism Policies
The Role of Soft Power in International Relations
Political Populism and Its Rise in Contemporary Politics
Environmental Policies and Political Will

Social Science Education Research Paper Topics

Inclusive Education and Special Needs Programs
Homeschooling: Trends and Outcomes
The Impact of Standardized Testing on Students
Teacher Training and Professional Development
Education Funding and Equity
The Impact of Technology in Classroom Learning
Education and Socioeconomic Achievement Gap
Teacher-Student Relationships and Academic Performance
School Bullying Prevention and Interventions

Environmental Social Science Research Paper Topics

Urbanization and Urban Planning for Sustainability
The Role of Wetlands in Ecosystem Health
Environmental Ethics and Conservation
Environmental Justice and Marginalized Communities
Renewable Energy Policies and Implementation
Ecotourism and Sustainable Tourism Practices
Soil Erosion and Agricultural Sustainability
Wildlife Conservation and Biodiversity Preservation
Environmental Education and its Role in Society
Sustainable Urban Planning and Green Cities

History-Social Science Research Paper Topics

The Historical Roots of Colonialism
Decolonization Movements in the 20th Century
The Impact of the Cold War on Global Politics
Historical Perspectives on Women’s Rights
The Cultural Significance of Historical Artifacts
The Impact of the Renaissance on Art and Culture
Historical Perspectives on the American Civil Rights Movement
The Decline of Ancient Civilizations: Causes and Lessons
Historical Analysis of Ancient Trade Routes
Impact of Colonialism on Indigenous Peoples

Social Work Research Paper Topics

Social Work in Crisis Intervention and Trauma Counseling
Substance Abuse Treatment in Vulnerable Populations
Child Protective Services and Family Welfare
The Role of Social Workers in Healthcare
Human Rights and Social Justice Advocacy
Trauma-Informed Social Work Practice
Homelessness and Social Services Interventions
Social Work in Correctional Facilities
Child Welfare and Family Reunification
Human Rights and Advocacy in Social Work

Communication Research Paper Topics

Crisis Communication in the Social Media Age
The Impact of Fake News on Public Perception
Visual Communication and its Influence
Cross-Cultural Communication Challenges
The Rhetoric of Political Speeches
Digital Media and the Future of Journalism
Intercultural Communication in a Globalized World
Communication Technology and its Impact on Relationships
Visual Communication and its Persuasive Power
The Art of Public Speaking and Rhetoric

Criminology Research Paper Topics

Cybersecurity and the Role of Law Enforcement
Criminal Behavior and Psychological Profiles
Recidivism and Rehabilitation Programs
White-Collar Crime and Corporate Responsibility
Policing Strategies and Community Relations
Juvenile Justice and Rehabilitation Programs
Cybersecurity and Law Enforcement Challenges
Criminal Profiling and Offender Characteristics
Hate Crimes and their Motivations
The Effectiveness of Restorative Justice Programs

Gender Studies Research Paper Topics

Toxic Masculinity in Popular Culture
The Impact of #MeToo Movement
Intersections of Gender and Race
Transgender Rights and Healthcare Access
The Influence of Gender in Language and Media
Women’s Reproductive Rights and Policies
Men’s Mental Health and Societal Expectations
Gendered Violence and Prevention Strategies
Gender Roles in Fairy Tales and Popular Culture
The Role of Gender in Language and Linguistics

Social Policy Research Paper Topics

Drug Policy and Harm Reduction Strategies
Universal Basic Income and Poverty Alleviation
Maternity and Paternity Leave Policies
Aging Population and Social Security
Immigration and Asylum Policies
Universal Basic Income and Economic Equality
Housing Policies and Affordable Housing Initiatives
Youth and Social Services Programs
Immigration and Family Reunification Policies
Disability Rights and Social Inclusion

Health Science Research Paper Topics

Healthcare Disparities in Underserved Communities
Nutrition and Public Health Interventions
The Opioid Epidemic and Prescription Drug Abuse
Mental Health Services in Rural Areas
Aging and Long-Term Care Services
Mental Health Stigma in Healthcare
The Impact of Social Determinants on Health Disparities
Healthcare Access and Rural Communities
Health Communication in Public Health Campaigns
Healthcare Systems in Developing Countries

Family Studies Research Paper Topics

The Impact of Divorce Mediation on Children
Foster Care and Adoption Policies
Sibling Relationships and Birth Order Effects
Interethnic and Intercultural Marriages
The Role of Grandparents in Child-Rearing
The Effect of Divorce on Sibling Relationships
Parental Involvement and Child Development
Foster Care and Child Welfare Reforms
Domestic Violence and Support Services
Aging Parents and Caregiver Stress

Globalization and Development Research Paper Topics

The Role of Non-Governmental Organizations (NGOs)
Humanitarian Aid and International Crisis Response
Cultural Exchange Programs and Diplomacy
Global Supply Chain and Labor Conditions
Sustainable Tourism and Cultural Preservation
The Role of Multinational Corporations in Developing Economies
Indigenous Rights and Sustainable Development
Microfinance and Poverty Alleviation
Fair Trade and Ethical Consumerism
Global Health Partnerships and Disease Prevention

Social Justice Research Paper Topics

Environmental Racism and its Implications
Disability Rights and Inclusion
LGBTQ+ Refugees and Asylum Seekers
Juvenile Justice and Restorative Practices
Mass Incarceration and Prison Reform
LGBTQ+ Rights and Global Advocacy
Refugee Rights and Resettlement Challenges
Disability Rights and Access to Healthcare
Criminal Justice Reform and Social Equity
Indigenous Land Rights and Environmental Justice

Sociology of Religion Research Paper Topics

Religious Fundamentalism in Contemporary Society
Religion and Healthcare Decision-Making
Interfaith Dialogue and Understanding
Cults and Their Social Impact
Religion and Ethics in Bioengineering
Religious Pluralism and Interfaith Dialogue
Religious Radicalism and Terrorism
Religion’s Influence on Political Policies
The Role of Religion in Environmental Ethics
Secularism and Non-religious Worldviews

Social Impact of Technology Research Paper Topics

Online Privacy and Digital Surveillance
Artificial Intelligence and Its Ethical Challenges
E-Government and Online Civic Engagement
Social Media Activism and Its Limitations
Technology and Sustainable Development Goals (SDGs)
Ethical Implications of Artificial Intelligence
The Digital Divide and Technological Inequities
Social Media Activism and Online Movements
Cybersecurity and Data Privacy Concerns
Virtual Reality and Its Applications in Education

Social Movements and Activism Research Paper Topics

Black Panther Party and its Legacy
Disability Rights Movements
Global Youth Activism and Climate Change
The Arab Spring and Political Change
Indigenous Rights Movements in Latin America
Youth-Led Movements and Their Impact on Social Change
Women’s Suffrage and the Fight for Voting Rights
Environmental Activism and Conservation Efforts
Indigenous Rights Movements in Asia

Why Social Science Research Paper Topics Are Beneficial for Students

Social Science Research Paper Topics offer several advantages for students:

Critical Thinking : Researching and writing about social science topics fosters critical thinking skills. It encourages students to analyze, interpret, and evaluate information and arguments.
Understanding Society : Social science research topics help students better understand the complexities of human society, culture, and behavior.
Research Skills : Students develop valuable research skills, including finding and assessing sources, conducting surveys or interviews, and drawing meaningful conclusions.
Communication Skills : Writing research papers hones students’ communication skills, including the ability to express complex ideas clearly and persuasively.
Awareness of Social Issues : Exploring social science topics can raise awareness of pressing social issues and encourage students to engage with them more deeply.
Preparation for Future Careers : Many careers in fields like sociology, psychology, and political science require strong research and analytical skills. Engaging in social science research prepares students for these roles.

Social Science Research Paper Topics provide students with an opportunity to explore, analyze, and contribute to our understanding of human society and its complexities. By following the guidance on selecting topics and recognizing their benefits, students can embark on research projects that are not only academically fulfilling but also socially relevant and impactful.

Whether you choose a topic from sociology, psychology, anthropology, economics, political science, or any other social science field. With this extensive list of Social Science Research Paper Topics, students have a wide range of subjects to choose from, spanning sociology, psychology, anthropology, economics, political science, and more.

These topics offer an opportunity to delve into critical societal issues, analyze their implications, and contribute to a deeper understanding of human behavior and society’s complexities.

Frequently Asked Questions

What is an example of a social science research question.

What are the sources of social inequality, and how does it relate to political institutions and social structures?

How do you write a good social science research paper?

The information should be detailed enough for someone to replicate the study, but it should also be concise.

What is social science research essay?

Social Science Research is the activity of gathering, analysing and interpreting information for a variety of social, economic, educational and political purposes.

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100 Best Social Science Research Topics

March 23, 2024 by Stephen Adebisi

Social science is one of those field of studies that takes human socio and physical interaction into consideration, hence, students mostly find it challenging selecting their research topic from the thousands of topics that exist.

Also, The study of people, their interactions with one another, their environments, and the societies they create is the broad domain of social science, as such there are thousands of research topics in this field.

Furthermore, Choosing essay or research topics can be particularly difficult for many students since there are lots of research areas to look into, yet doing so might be the difference between getting a good mark and getting a bad one.

Hence, in this copy, you will learn who social science researchers are and some of the best research topics in social sciences. You will also find out where you can find social science research jobs.

Who are Social Science Researchers?

The masters of social science research are social science researchers. They spend their days planning, running, and conducting research in fields like environment, health care, population structure, social services, and employment.

Programs of enquiry are created and established by social scientists. They use a variety of research methods, including focus groups, surveys, and interviews, and then they use statistical methods and software to record and analyze the findings.

They might then be required to write summaries, contribute to research articles, and put together oral or poster presentations.

Social scientists may be employed by academic institutions, independent research organizations, local governments, the government, health authorities, or market research companies.

You may also consider How To Write A Research Paper Thesis Statement

There are countless social science study topics for college students, and there is no way they could all be covered. Students don’t need to go through as much trouble choosing the perfect topic when they can take advantage of their surroundings. Despite these advantages, a lot of academics still struggle with coming up with social science research subjects for university students.

A full list of social science research topics is provided below, broken down into categories. The groups comprise:

Anthropology
Linguistics

#1. Culture

Below are some social science research topics on culture.

1. Loss of cultural variety worldwide as a result of tradition-breaking and urbanization
2. Conditions for effective cross-cultural communication
3. Approaches to lessen culture shock
4. Western societies and the ethics of cultural appropriation
5. Aztec architectural legacy
6. Culture of the Amazon tribes as a topic
7. Empires and cultural absorption are related
8. The causes and patterns of contemporary cultural integration
9. Language extinction has cultural and historical significance
10.The determinants of one culture’s supremacy over another

#2. Political

Below are some social science research topics on political.

11. Why is the US confined to a two-party structure?
12. Election systems that are most representational
13. Requirements for the establishment of authoritarianism.
14. The causes of the present global decline in democracy indexes, according to Freedom House
15. Cycles and routes taken by an authoritarian government.
16. According to surveys, people in Western nations now place less significance on democracy
17. The topic of civil disobedience is current.
18. Social media’s function in contemporary protests
19. Control of the media is a crucial component in maintaining the survival of authoritarian and populist administrations
20. Companies and agencies roles in black PR elections

Below are some social science research topics on gender.

21. Tribal societies and societies based on matriarchy (e.g. Tibet)
22. Men’s social roles should be redefined; egalitarian societies
23. The mass media, particularly the entertainment sector, is a potent weapon for “exporting” gender equality in traditional patriarchal nations
24. When is it acceptable to recruit more women than males and when is it not?
25. Egalitarian societies vs. the evolution of families.
26. Does the occupation affect which gender is more able to handle stress in the workplace?
27. Comparing and contrasting the worldviews of women and men
28. Social network size variations across genders.
29. Differences in suicide attempt rates (women somewhat outnumber men here) and completion rates (men massively outnumber women here) among the US’s genders
30. For each gender, a definition of happiness.

#4. Religion

Below are some social science research topics on religion.

31. Numerous religions share similar mythical traditions (e.g. birth from a virgin, trinity, resurrection, 12 disciples, good-evil duality)
32. The impact of Egyptian religion on later-founding religions
33. Impacts on a society’s values and way of life of Buddhism vs. Christianity
34. The effects of Buddhism on a society’s economy
35. Religions’ influence as unifying influences in contemporary cultures is waning
36. What kind of religious philosophy (and what are the ramifications for society and people) is most closely related to self-sufficiency?
37. Islam’s teachings on jihad have been misunderstood and taken in many different ways
38. Cross-cultural correlation between religiosity and conservatism
39. Methods to encourage interreligious discussion
40. Investigation of the relationship between a society’s level of religiosity and its level of economic development

#5. Anthropology

Below are some social science research topics on anthropology.

41. Early human societies’ reactions to fire mastery
42. What can Neanderthal DNA traces tell us about these ancient people – H human interactions?
43. Human settlements was first discussed
44. The ability to understand abstract notions as the ultimate reason for Homo sapiens’ dominance of the planet (according to Yuval Noah Harari)
45. Was the switch from hunter-gatherer to agricultural techniques correlated with a higher standard of living?
46. Ancient cultures vs. funeral traditions
47. What may early communal life be inferred from cave drawings?
48. Numerous ancient nations’ marriage rituals
49. Body modification activities are unique cultural qualities among tribes
50. Language’s early effects on the effectiveness of human cooperation

#6. Linguistics

Below are some social science research topics on linguistics.

51. What can words that are very similar across languages—words like “mother,” “man,” “hear,” and “spit”—teach us about our shared linguistic ancestry?
52. How can linguistics be used to examine human migration and cross-cultural interactions?
53. Indo-European linguistic origins are commonly proven
54. What effects does sentence word order have on how linguistic groups interact?
55. Across several European languages, grammar rules are similar
56. What do our “core” vocabulary reveal about us and our cultures?
57. How neologisms from the English language relating to technology spread to other languages
58. English neologisms are the subject of French “protectionism.”
59. Words like “email,” “smartphone,” and “hobby” that are widely used as a sign of globalization
60. Indigenous cultures’ loss of language identity has social repercussions

#7. Economic

Below are some social science research topics on economic.

61. Trade protectionism within the framework of global trade agreements.
62. Mexican corn growers’ exposure to NAFTA
63. How will civilizations handle the switch from fossil fuels to alternative energy sources?
64. In the era of low-cost carriers, tourism is evolving
65. Topic of human race and relative economic power
66. When will the various resources’ reserves be depleted?
67. Which method should be used for taxing multinational corporations?
68. Offshore jurisdictions as a motivator for global corruption
69. Economic harm that will be caused by global warming
70. Global nations face the issue of national debt

Below are some social science research topics on law.

71. Age at which a person becomes a criminal
72. An example of Singapore’s stringent legislation
73. Accusation that youth crime is a serious issue in the US
74. Tort law subject of battery
74. Situations that exempt someone from legal duty
76. How justified is the death penalty?
77. Is it time to create laws that account for self-driving vehicles?
78. Laws that govern the usage of drones when someone’s privacy is violated
79. How vigorously should legislation to combat pollution be put into practice?
80. Should the general public be prohibited from owning guns?

#9. Conflict

Below are some social science research topics on conflict.

81. Techniques for negotiations when parties have divergent opinions
82. Anatomy of a contentious issue
83. Conflict kinds and suitable responses
84. How may a fight be stopped in its tracks?
85. When you have an edge or leverage, there are fair and unfair negotiation norms
86. Why does the scientific community’s unanimity no longer matter, anti-vaxxers?
87. A crucial instrument for resuming stopped conversations is compromise
88. The most serious internal conflict in a state is civil war
89. An analysis of the American Civil War as a struggle
90. Denial of climate change in the US

#10. Sociology

Below are some social science research topics on sociology.

91. Is there still a caste system in India?
92. When might the feminist movement’s objectives be deemed successful?
93. Comparing and contrasting youth cultures from throughout the world
94. Consumption as a necessary economic practice and a scourge of contemporary civilization
95. Dynamics, requirements, contributing variables, etc. of social movements
96. How is social media changing how many people develop their sense of self-worth?
97. Due to carefully controlled and biased content, social media has depressing consequences
98. What is the media’s portrayal of people with disabilities like?
99. Convictions associated with the subject of poverty
100. Most common parenting philosophies in various social classes

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Social Science Research Jobs

The social sciences, which include sociology, social psychology, human geography, political science, social anthropology, and education, offer employment opportunities in social science research. Project development and execution fall under the purview of social researchers. They must have the imagination to devise methods for gathering data on their themes or topics and for precisely measuring the outcomes of those methods.

Political science occupations that entail social science research frequently require determining how and who exactly is impacted by various public policies. Learn how people live and act in society and in various social groups by working in anthropology.

In Education

In the field of education, a social scientist would be asked to investigate various educational practices or policies. Census work and data interpretation are examples of professions in the topic of human geography, which is another area where social science research jobs can be found.

It is obvious that social science researchers are interested in a wide range of topics. Gender research, unemployment, and public health can all be included in social science research positions. Simply said, social science study covers a wide range of topics that have to do with how people interact or are impacted by many parts of life, such as legislation.

A social science researcher should prepare to work with data, or statistics, which are typically derived through techniques like surveys. Along with focus groups, interviews, and field observations, surveys are a different method of collecting data.

Researchers employ a variety of research techniques, including qualitative and quantitative research. Analyzing numbers and statistics are key components of quantitative research, whereas experiences and definitions are key components of qualitative research.

In Research Centers And Organizations

Social science research centers and organizations, which are based all over the world, frequently hire social science researchers.

The Arab Center for Applied Social Research in Israel, the Center for the Advanced Study of Communities and Information in the United States, the Institute for Social Research in Germany, the Matrix Knowledge Group in the United Kingdom, and the Economic and Social Research Council in the United Kingdom are some of the larger institutions.

Colleges, Universities, Non profit Organizations And Private Entities

Colleges, universities, non-profit organizations, and privately sponsored entities often employ social science researchers. Researchers and research assistants in social sciences are employed by the majority of significant universities. Additionally, there are openings for social science research analysts to work for the US federal government.

The demand for social science researchers continues to be high because laws, populations, and demographics are all constantly changing. Typically, a high school diploma is required for employment in social science research, and college graduation is frequently required for higher paying professions.

College students can choose from an endless variety of social science topics. Select a topic or two from the several categories above and get started if you are at a loss for words or simply do not know where to begin.

FAQs On Social Science Research Topics

The Social Science Research Council, a nonprofit organization that is independent and global, mobilizes knowledge needed for the good of society by assisting academics around the world, fostering cross-disciplinary research, and establishing connections between scholars and citizens and policymakers.

What incentives can we offer people to take care of their health? How do societies develop robust, workable institutions like governments? In what ways can humanity’s collective knowledge be increased? How can the “talent gap” in America be closed between whites and blacks? In order to make the greatest decisions, how can we combine the information that different people have? How can we comprehend the ability for knowledge production and expression in humans? Why are there still so many women who make less money than men? The “social” becomes “biological” and how and why? What defenses can we put in place to withstand “black swans,” which are uncommon occurrences with disastrous results? Why does social behavior—in particular, civil violence—either continue through time or abruptly shift?

The significance of group therapy for kids in foster care Effects of clinical depression in teenage girls Lack of child support and its effects on child care in America An examination of depression and the stigma attached to it ADHD in foster homes and its effects on children The effects of constant movement on orphaned young children’s lives Addressing the PTSD that exists naturally in the lives of medical veterans The social exclusion of kids with autism Addressing the stigma associated with disability Disability and how it affects the life of middle-aged parents

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Writing Survey Questions

Perhaps the most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the public. Accurate random sampling will be wasted if the information gathered is built on a shaky foundation of ambiguous or biased questions. Creating good measures involves both writing good questions and organizing them to form the questionnaire.

Questionnaire design is a multistage process that requires attention to many details at once. Designing the questionnaire is complicated because surveys can ask about topics in varying degrees of detail, questions can be asked in different ways, and questions asked earlier in a survey may influence how people respond to later questions. Researchers are also often interested in measuring change over time and therefore must be attentive to how opinions or behaviors have been measured in prior surveys.

Surveyors may conduct pilot tests or focus groups in the early stages of questionnaire development in order to better understand how people think about an issue or comprehend a question. Pretesting a survey is an essential step in the questionnaire design process to evaluate how people respond to the overall questionnaire and specific questions, especially when questions are being introduced for the first time.

For many years, surveyors approached questionnaire design as an art, but substantial research over the past forty years has demonstrated that there is a lot of science involved in crafting a good survey questionnaire. Here, we discuss the pitfalls and best practices of designing questionnaires.

Question development

There are several steps involved in developing a survey questionnaire. The first is identifying what topics will be covered in the survey. For Pew Research Center surveys, this involves thinking about what is happening in our nation and the world and what will be relevant to the public, policymakers and the media. We also track opinion on a variety of issues over time so we often ensure that we update these trends on a regular basis to better understand whether people’s opinions are changing.

At Pew Research Center, questionnaire development is a collaborative and iterative process where staff meet to discuss drafts of the questionnaire several times over the course of its development. We frequently test new survey questions ahead of time through qualitative research methods such as focus groups , cognitive interviews, pretesting (often using an online, opt-in sample ), or a combination of these approaches. Researchers use insights from this testing to refine questions before they are asked in a production survey, such as on the ATP.

Measuring change over time

Many surveyors want to track changes over time in people’s attitudes, opinions and behaviors. To measure change, questions are asked at two or more points in time. A cross-sectional design surveys different people in the same population at multiple points in time. A panel, such as the ATP, surveys the same people over time. However, it is common for the set of people in survey panels to change over time as new panelists are added and some prior panelists drop out. Many of the questions in Pew Research Center surveys have been asked in prior polls. Asking the same questions at different points in time allows us to report on changes in the overall views of the general public (or a subset of the public, such as registered voters, men or Black Americans), or what we call “trending the data”.

When measuring change over time, it is important to use the same question wording and to be sensitive to where the question is asked in the questionnaire to maintain a similar context as when the question was asked previously (see question wording and question order for further information). All of our survey reports include a topline questionnaire that provides the exact question wording and sequencing, along with results from the current survey and previous surveys in which we asked the question.

The Center’s transition from conducting U.S. surveys by live telephone interviewing to an online panel (around 2014 to 2020) complicated some opinion trends, but not others. Opinion trends that ask about sensitive topics (e.g., personal finances or attending religious services ) or that elicited volunteered answers (e.g., “neither” or “don’t know”) over the phone tended to show larger differences than other trends when shifting from phone polls to the online ATP. The Center adopted several strategies for coping with changes to data trends that may be related to this change in methodology. If there is evidence suggesting that a change in a trend stems from switching from phone to online measurement, Center reports flag that possibility for readers to try to head off confusion or erroneous conclusions.

Open- and closed-ended questions

One of the most significant decisions that can affect how people answer questions is whether the question is posed as an open-ended question, where respondents provide a response in their own words, or a closed-ended question, where they are asked to choose from a list of answer choices.

For example, in a poll conducted after the 2008 presidential election, people responded very differently to two versions of the question: “What one issue mattered most to you in deciding how you voted for president?” One was closed-ended and the other open-ended. In the closed-ended version, respondents were provided five options and could volunteer an option not on the list.

When explicitly offered the economy as a response, more than half of respondents (58%) chose this answer; only 35% of those who responded to the open-ended version volunteered the economy. Moreover, among those asked the closed-ended version, fewer than one-in-ten (8%) provided a response other than the five they were read. By contrast, fully 43% of those asked the open-ended version provided a response not listed in the closed-ended version of the question. All of the other issues were chosen at least slightly more often when explicitly offered in the closed-ended version than in the open-ended version. (Also see “High Marks for the Campaign, a High Bar for Obama” for more information.)

Researchers will sometimes conduct a pilot study using open-ended questions to discover which answers are most common. They will then develop closed-ended questions based off that pilot study that include the most common responses as answer choices. In this way, the questions may better reflect what the public is thinking, how they view a particular issue, or bring certain issues to light that the researchers may not have been aware of.

When asking closed-ended questions, the choice of options provided, how each option is described, the number of response options offered, and the order in which options are read can all influence how people respond. One example of the impact of how categories are defined can be found in a Pew Research Center poll conducted in January 2002. When half of the sample was asked whether it was “more important for President Bush to focus on domestic policy or foreign policy,” 52% chose domestic policy while only 34% said foreign policy. When the category “foreign policy” was narrowed to a specific aspect – “the war on terrorism” – far more people chose it; only 33% chose domestic policy while 52% chose the war on terrorism.

In most circumstances, the number of answer choices should be kept to a relatively small number – just four or perhaps five at most – especially in telephone surveys. Psychological research indicates that people have a hard time keeping more than this number of choices in mind at one time. When the question is asking about an objective fact and/or demographics, such as the religious affiliation of the respondent, more categories can be used. In fact, they are encouraged to ensure inclusivity. For example, Pew Research Center’s standard religion questions include more than 12 different categories, beginning with the most common affiliations (Protestant and Catholic). Most respondents have no trouble with this question because they can expect to see their religious group within that list in a self-administered survey.

In addition to the number and choice of response options offered, the order of answer categories can influence how people respond to closed-ended questions. Research suggests that in telephone surveys respondents more frequently choose items heard later in a list (a “recency effect”), and in self-administered surveys, they tend to choose items at the top of the list (a “primacy” effect).

Because of concerns about the effects of category order on responses to closed-ended questions, many sets of response options in Pew Research Center’s surveys are programmed to be randomized to ensure that the options are not asked in the same order for each respondent. Rotating or randomizing means that questions or items in a list are not asked in the same order to each respondent. Answers to questions are sometimes affected by questions that precede them. By presenting questions in a different order to each respondent, we ensure that each question gets asked in the same context as every other question the same number of times (e.g., first, last or any position in between). This does not eliminate the potential impact of previous questions on the current question, but it does ensure that this bias is spread randomly across all of the questions or items in the list. For instance, in the example discussed above about what issue mattered most in people’s vote, the order of the five issues in the closed-ended version of the question was randomized so that no one issue appeared early or late in the list for all respondents. Randomization of response items does not eliminate order effects, but it does ensure that this type of bias is spread randomly.

Questions with ordinal response categories – those with an underlying order (e.g., excellent, good, only fair, poor OR very favorable, mostly favorable, mostly unfavorable, very unfavorable) – are generally not randomized because the order of the categories conveys important information to help respondents answer the question. Generally, these types of scales should be presented in order so respondents can easily place their responses along the continuum, but the order can be reversed for some respondents. For example, in one of Pew Research Center’s questions about abortion, half of the sample is asked whether abortion should be “legal in all cases, legal in most cases, illegal in most cases, illegal in all cases,” while the other half of the sample is asked the same question with the response categories read in reverse order, starting with “illegal in all cases.” Again, reversing the order does not eliminate the recency effect but distributes it randomly across the population.

Question wording

The choice of words and phrases in a question is critical in expressing the meaning and intent of the question to the respondent and ensuring that all respondents interpret the question the same way. Even small wording differences can substantially affect the answers people provide.

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An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. However, when asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule even if it meant that U.S. forces might suffer thousands of casualties, ” responses were dramatically different; only 43% said they favored military action, while 48% said they opposed it. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.

There has been a substantial amount of research to gauge the impact of different ways of asking questions and how to minimize differences in the way respondents interpret what is being asked. The issues related to question wording are more numerous than can be treated adequately in this short space, but below are a few of the important things to consider:

First, it is important to ask questions that are clear and specific and that each respondent will be able to answer. If a question is open-ended, it should be evident to respondents that they can answer in their own words and what type of response they should provide (an issue or problem, a month, number of days, etc.). Closed-ended questions should include all reasonable responses (i.e., the list of options is exhaustive) and the response categories should not overlap (i.e., response options should be mutually exclusive). Further, it is important to discern when it is best to use forced-choice close-ended questions (often denoted with a radio button in online surveys) versus “select-all-that-apply” lists (or check-all boxes). A 2019 Center study found that forced-choice questions tend to yield more accurate responses, especially for sensitive questions. Based on that research, the Center generally avoids using select-all-that-apply questions.

It is also important to ask only one question at a time. Questions that ask respondents to evaluate more than one concept (known as double-barreled questions) – such as “How much confidence do you have in President Obama to handle domestic and foreign policy?” – are difficult for respondents to answer and often lead to responses that are difficult to interpret. In this example, it would be more effective to ask two separate questions, one about domestic policy and another about foreign policy.

In general, questions that use simple and concrete language are more easily understood by respondents. It is especially important to consider the education level of the survey population when thinking about how easy it will be for respondents to interpret and answer a question. Double negatives (e.g., do you favor or oppose not allowing gays and lesbians to legally marry) or unfamiliar abbreviations or jargon (e.g., ANWR instead of Arctic National Wildlife Refuge) can result in respondent confusion and should be avoided.

Similarly, it is important to consider whether certain words may be viewed as biased or potentially offensive to some respondents, as well as the emotional reaction that some words may provoke. For example, in a 2005 Pew Research Center survey, 51% of respondents said they favored “making it legal for doctors to give terminally ill patients the means to end their lives,” but only 44% said they favored “making it legal for doctors to assist terminally ill patients in committing suicide.” Although both versions of the question are asking about the same thing, the reaction of respondents was different. In another example, respondents have reacted differently to questions using the word “welfare” as opposed to the more generic “assistance to the poor.” Several experiments have shown that there is much greater public support for expanding “assistance to the poor” than for expanding “welfare.”

We often write two versions of a question and ask half of the survey sample one version of the question and the other half the second version. Thus, we say we have two forms of the questionnaire. Respondents are assigned randomly to receive either form, so we can assume that the two groups of respondents are essentially identical. On questions where two versions are used, significant differences in the answers between the two forms tell us that the difference is a result of the way we worded the two versions.

One of the most common formats used in survey questions is the “agree-disagree” format. In this type of question, respondents are asked whether they agree or disagree with a particular statement. Research has shown that, compared with the better educated and better informed, less educated and less informed respondents have a greater tendency to agree with such statements. This is sometimes called an “acquiescence bias” (since some kinds of respondents are more likely to acquiesce to the assertion than are others). This behavior is even more pronounced when there’s an interviewer present, rather than when the survey is self-administered. A better practice is to offer respondents a choice between alternative statements. A Pew Research Center experiment with one of its routinely asked values questions illustrates the difference that question format can make. Not only does the forced choice format yield a very different result overall from the agree-disagree format, but the pattern of answers between respondents with more or less formal education also tends to be very different.

One other challenge in developing questionnaires is what is called “social desirability bias.” People have a natural tendency to want to be accepted and liked, and this may lead people to provide inaccurate answers to questions that deal with sensitive subjects. Research has shown that respondents understate alcohol and drug use, tax evasion and racial bias. They also may overstate church attendance, charitable contributions and the likelihood that they will vote in an election. Researchers attempt to account for this potential bias in crafting questions about these topics. For instance, when Pew Research Center surveys ask about past voting behavior, it is important to note that circumstances may have prevented the respondent from voting: “In the 2012 presidential election between Barack Obama and Mitt Romney, did things come up that kept you from voting, or did you happen to vote?” The choice of response options can also make it easier for people to be honest. For example, a question about church attendance might include three of six response options that indicate infrequent attendance. Research has also shown that social desirability bias can be greater when an interviewer is present (e.g., telephone and face-to-face surveys) than when respondents complete the survey themselves (e.g., paper and web surveys).

Lastly, because slight modifications in question wording can affect responses, identical question wording should be used when the intention is to compare results to those from earlier surveys. Similarly, because question wording and responses can vary based on the mode used to survey respondents, researchers should carefully evaluate the likely effects on trend measurements if a different survey mode will be used to assess change in opinion over time.

Question order

Once the survey questions are developed, particular attention should be paid to how they are ordered in the questionnaire. Surveyors must be attentive to how questions early in a questionnaire may have unintended effects on how respondents answer subsequent questions. Researchers have demonstrated that the order in which questions are asked can influence how people respond; earlier questions can unintentionally provide context for the questions that follow (these effects are called “order effects”).

One kind of order effect can be seen in responses to open-ended questions. Pew Research Center surveys generally ask open-ended questions about national problems, opinions about leaders and similar topics near the beginning of the questionnaire. If closed-ended questions that relate to the topic are placed before the open-ended question, respondents are much more likely to mention concepts or considerations raised in those earlier questions when responding to the open-ended question.

For closed-ended opinion questions, there are two main types of order effects: contrast effects ( where the order results in greater differences in responses), and assimilation effects (where responses are more similar as a result of their order).

An example of a contrast effect can be seen in a Pew Research Center poll conducted in October 2003, a dozen years before same-sex marriage was legalized in the U.S. That poll found that people were more likely to favor allowing gays and lesbians to enter into legal agreements that give them the same rights as married couples when this question was asked after one about whether they favored or opposed allowing gays and lesbians to marry (45% favored legal agreements when asked after the marriage question, but 37% favored legal agreements without the immediate preceding context of a question about same-sex marriage). Responses to the question about same-sex marriage, meanwhile, were not significantly affected by its placement before or after the legal agreements question.

Another experiment embedded in a December 2008 Pew Research Center poll also resulted in a contrast effect. When people were asked “All in all, are you satisfied or dissatisfied with the way things are going in this country today?” immediately after having been asked “Do you approve or disapprove of the way George W. Bush is handling his job as president?”; 88% said they were dissatisfied, compared with only 78% without the context of the prior question.

Responses to presidential approval remained relatively unchanged whether national satisfaction was asked before or after it. A similar finding occurred in December 2004 when both satisfaction and presidential approval were much higher (57% were dissatisfied when Bush approval was asked first vs. 51% when general satisfaction was asked first).

Several studies also have shown that asking a more specific question before a more general question (e.g., asking about happiness with one’s marriage before asking about one’s overall happiness) can result in a contrast effect. Although some exceptions have been found, people tend to avoid redundancy by excluding the more specific question from the general rating.

Assimilation effects occur when responses to two questions are more consistent or closer together because of their placement in the questionnaire. We found an example of an assimilation effect in a Pew Research Center poll conducted in November 2008 when we asked whether Republican leaders should work with Obama or stand up to him on important issues and whether Democratic leaders should work with Republican leaders or stand up to them on important issues. People were more likely to say that Republican leaders should work with Obama when the question was preceded by the one asking what Democratic leaders should do in working with Republican leaders (81% vs. 66%). However, when people were first asked about Republican leaders working with Obama, fewer said that Democratic leaders should work with Republican leaders (71% vs. 82%).

The order questions are asked is of particular importance when tracking trends over time. As a result, care should be taken to ensure that the context is similar each time a question is asked. Modifying the context of the question could call into question any observed changes over time (see measuring change over time for more information).

A questionnaire, like a conversation, should be grouped by topic and unfold in a logical order. It is often helpful to begin the survey with simple questions that respondents will find interesting and engaging. Throughout the survey, an effort should be made to keep the survey interesting and not overburden respondents with several difficult questions right after one another. Demographic questions such as income, education or age should not be asked near the beginning of a survey unless they are needed to determine eligibility for the survey or for routing respondents through particular sections of the questionnaire. Even then, it is best to precede such items with more interesting and engaging questions. One virtue of survey panels like the ATP is that demographic questions usually only need to be asked once a year, not in each survey.

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Q-and-A with Kathryn Thompson

What We Owe One Another, in a Community, During Challenging Times

Q-and-a with kathryn thompson ..

‘You Know You’re in a Good Place When You’re at Peace’

Kathryn thompson, who joined sph in september as an assistant professor of community health sciences, discusses the challenges of launching a career in academic research, and why she feels bu was the right place for her., michael saunders.

Just a few months into navigating her first role as an early-stage investigator, Kathryn Thompson is discovering the double-edged sword of being an independent researcher.

“You’re new and you’re in a space where you’re building up a team, but a lot of the weight and the pressure of some of these projects are still on your shoulders,” Thompson said, acknowledging the responsibility of doing most of her own data analysis and literature reviews, while finishing manuscripts for existing research and exploring avenues for future studies. “I’m still trying to find the balance,” she said with a short laugh.

Thompson graduated in May 2023 with her PhD in health services research from the Brown University School of Public Health. After a restorative summer off, she arrived at SPH in September as an assistant professor of community health sciences with a cross-disciplinary appointment in health policy and management.

She was born in a small town in Mississippi and grew up in central Florida, both areas where differences in maternal health outcomes are starkly defined by both race and income. In an interview with Brown University last spring, she noted the untimely and preventable death of an aunt in rural Mississippi as one of the catalysts prompting her undergraduate study in health sciences at the University of Central Florida, where she also earned a master’s in health services administration.

She was recently selected for the HIV Prevention Trial Network (HPTN) Scholar Program, a prestigious mentorship program for early-career scientists interested in HIV research. C arlos Rodriguez-Diaz , professor and chair of the Department of Community Health Sciences , has centered HIV prevention in his own research portfolio and will be one of Thompson’s mentors in the program, along with Danielle Haley , an assistant professor of community health sciences. Haley previously worked on HPTN 064 , a study designed to estimate the overall new HIV infection rate in women at risk for HIV in the US. In 2012, Haley’s HPTN research team found that HIV rates for Black women in parts of the US were significantly higher than previously estimated.

Over the 18 months of her HPTN program, which starts June 1, Thompson says that her mentors can help her hone the research interests that she first cultivated at UCF and expanded in her time at Brown. “Given my background and experiences, I gravitate towards datasets and research projects that focus on women and maternal health, particularly those living in high-poverty areas.”

with Kathryn Thompson, assistant professor of community health sciences

How will the work conducted as part of the HPTN Scholar Program affect some of the community-focused research you had previously planned?

This program will be parallel to the community-focused research I had previously planned, and it gives me a chance to take a deeper dive into some skills that I haven’t yet acquired. This program allows me the opportunity to explore mixed methods—how you tie a quantitative and a qualitative piece together, and how they can inform each other to allow you to make certain inferences and further understand a research problem.

With my background, I’m quantitatively trained. I have interest in assessing disparities among Medicaid populations, Black pregnant persons, and persons living with HIV. So, how do I take what I’ve learned and connect it with where I want my research to go in the future? I believe you can conduct high-level analyses and generate statistics all day, but how does that relate to the communities we care about and what’s actually happening on the ground?

That is the connection that I would like to make. I think that it is important that we get into those communities. We need speak to individuals and add their perspectives. For individuals that are in Medicaid, we should be asking how do you perceive your care? How is your Medicaid program performing for you? Is it meeting your needs as an enrollee? Are you connected with the resources that Medicaid states that it provides for its beneficiaries? These are some of the questions I would like to ask and answer.

It seems as if you’re hoping to build a bridge between the systems-level approach and the things that affect people on a more granular, individual level.

Yes, I am hoping to build that bridge and be very intentional. I am hoping to leverage my dual appointment in order to do so. Currently, my primary appointment is in community health sciences (CHS) and I’m also in health policy and management (HLPM).

Yes, I do want to take a systems approach, to ultimately affect the individual. I am interested in Medicaid, for instance, because Medicaid funds nearly half the births in the entire United States, and 66 percent of births for Black pregnant persons. There are essentially 50 different Medicaid programs because each state Medicaid program is unique. I believe, with Medicaid, we have this unique ability to use Medicaid as a tool that can be flexible and individually tailored to the population it serves. You can enact a policy, but are these policies doing what they’re intended to do? Do we see the results of these policies reflected in the communities?

For example, we can have policies that intend to expand resources for beneficiaries to access housing, to be less food insecure, or to provide transportation to be able to access healthcare services. But are [state Medicaid programs] connecting individuals with these resources? How are they connecting them to these resources? And in return, is it improving health equity and are we able to positively impact disparity gaps? These are the questions I am interested in and for me, I need what I can learn from my colleagues in HLPM and CHS to reach my goal.

Did the genesis of this approach to research start during your time at Brown?

Yes, it did. I loved my program at Brown. There was so much I wanted to do during my time there, but I did not get the chance to. When entering the job market my advisor said, “Given what you are interested in, these are the type of questions you can ask as an independent researcher, as an early-stage investigator.” This advice was important as I was contemplating whether academia or industry would be the ideal setting for exploring these questions.

I ultimately decided to continue my research career in academia because I wanted to drive my own research agenda. The challenge now is to become a more intentional researcher by asking deep, more insightful questions. As told by a mentor of mine, you can ask 1,000 questions in public health, but not every question is worth asking!

What have you learned here at BUSPH in terms of how to build a career? What kind of guidance have you gotten from both advisors and peers?

So far, I have been given great advice. BUSPH is a treasure trove of knowledge, and every question I’ve posed has been met with remarkable kindness and understanding. I have received a lot of “We’re there too. We’re right there with you. And when you figure out the answers let us all know. Hah.”

The transition has been rewarding, albeit challenging, as I’ve shifted from the mindset of a PhD candidate to a faculty member. This role is highly self-driven—you control your schedule and your time, making it crucial to be strategic and productive. Much of the advice I received emphasized the importance of planning ahead. It’s vital to map out where you see yourself in the next one, two, or three years and to set specific goals you aim to achieve within those timeframes.

So, starting last fall, my plan included initiating the process to submit a K01 developmental award application within the next year. Additionally, despite being at BUSPH, there are many colleagues I haven’t met yet, so part of my plan involves reaching out to expand my network, find opportunities for collaboration, and forge meaningful relationships.

I also have ongoing projects from my time at Brown that need to be finalized and published. Lastly, I’m in the process of identifying funding opportunities to apply for future projects. Balancing all these elements is still a work in progress!

Some of the most valuable advice I received was to meticulously document insights from everyone. I asked questions such as, “How did you navigate your first year?” and “What was your approach and what did you learn from it?” I also asked about how they organized their schedules and managed their time. I’ve received excellent guidance from colleagues in CHS and HLPM, as well as from my mentors across the country.

Have the folks at the Maternal and Child Health Center of Excellence come knocking on your door yet?

One of my primary mentors is Dr. Lois McCloskey , the director, who is absolutely outstanding. Having her as a connection has been incredibly valuable to me personally and professionally. I am currently working with her and I have spoken with her about the Maternal and Child Health Center of Excellence , mainly about the opportunities of how I can be involved in the future. I also aspire to collaborate with another mentor I greatly admire, Dr. Yvette Cozier , and contribute to the Black Women’s Health Study . Currently, much of my work at BUSPH is associated with the Medicaid Policy Lab .

I am eager to learn from those around me and engage in meaningful collaborations. I anticipate making mistakes, but through these, I will discover better ways to approach and accomplish tasks, whatever they may be.

What was the defining thing that brought you to BUSPH and reinforced that this was the place for you?

To be honest, it was the people and conducting/participating in work that I could be proud of. BUSPH is rich in resources and renowned as a top R1 institution, producing exceptional research. However, I believe that truly great research thrives in environments that nurture creativity, critical thinking, and collaboration—and BUSPH excels in providing such an environment. The ability to work interdisciplinarily, collaborate across departments, and connect with diverse individuals is a valuable resource that often goes underappreciated.

For instance, when I chose to go to Brown, I felt completely at peace with my decision and thoroughly enjoyed my time there. Similarly, when I decided to join the BUSPH faculty, I felt a strong sense of belonging, as if this was exactly where I was meant to be. BU and BUSPH offer incredible resources like the Medicaid Policy Lab, the Center for Anti-Racist Research, the Maternal and Child Health Center of Excellence, and the Black Women’s Health Study. For me and the plans that I have, they are all fantastic opportunities, but the value of any position is deeply influenced by the environment and the people. If you don’t enjoy your surroundings or the people you work with, it begs the question: is it truly worth it?

I genuinely like the people I work with, the work they do, and the environment we share—it enriches me both personally and as a health services researcher. The right environment is crucial; if it were less conducive to my growth, achieving my goals would be significantly more challenging. I often say you know you’re in the right place when you feel at peace.

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A Peek Inside the Brains of ‘Super-Agers’

New research explores why some octogenarians have exceptional memories.

Close up of a grey haired, wrinkled older woman’s eye.

By Dana G. Smith

When it comes to aging, we tend to assume that cognition gets worse as we get older. Our thoughts may slow down or become confused, or we may start to forget things, like the name of our high school English teacher or what we meant to buy at the grocery store.

But that’s not the case for everyone.

For a little over a decade, scientists have been studying a subset of people they call “super-agers.” These individuals are age 80 and up, but they have the memory ability of a person 20 to 30 years younger.

Most research on aging and memory focuses on the other side of the equation — people who develop dementia in their later years. But, “if we’re constantly talking about what’s going wrong in aging, it’s not capturing the full spectrum of what’s happening in the older adult population,” said Emily Rogalski, a professor of neurology at the University of Chicago, who published one of the first studies on super-agers in 2012.

A paper published Monday in the Journal of Neuroscience helps shed light on what’s so special about the brains of super-agers. The biggest takeaway, in combination with a companion study that came out last year on the same group of individuals, is that their brains have less atrophy than their peers’ do.

The research was conducted on 119 octogenarians from Spain: 64 super-agers and 55 older adults with normal memory abilities for their age. The participants completed multiple tests assessing their memory, motor and verbal skills; underwent brain scans and blood draws; and answered questions about their lifestyle and behaviors.

The scientists found that the super-agers had more volume in areas of the brain important for memory, most notably the hippocampus and entorhinal cortex. They also had better preserved connectivity between regions in the front of the brain that are involved in cognition. Both the super-agers and the control group showed minimal signs of Alzheimer’s disease in their brains.

“By having two groups that have low levels of Alzheimer’s markers, but striking cognitive differences and striking differences in their brain, then we’re really speaking to a resistance to age-related decline,” said Dr. Bryan Strange, a professor of clinical neuroscience at the Polytechnic University of Madrid, who led the studies.

These findings are backed up by Dr. Rogalski’s research , initially conducted when she was at Northwestern University, which showed that super-agers’ brains looked more like 50- or 60-year-olds’ brains than their 80-year-old peers. When followed over several years, the super-agers’ brains atrophied at a slower rate than average.

No precise numbers exist on how many super-agers there are among us, but Dr. Rogalski said they’re “relatively rare,” noting that “far less than 10 percent” of the people she sees end up meeting the criteria.

But when you meet a super-ager, you know it, Dr. Strange said. “They are really quite energetic people, you can see. Motivated, on the ball, elderly individuals.”

Experts don’t know how someone becomes a super-ager, though there were a few differences in health and lifestyle behaviors between the two groups in the Spanish study. Most notably, the super-agers had slightly better physical health, both in terms of blood pressure and glucose metabolism, and they performed better on a test of mobility . The super-agers didn’t report doing more exercise at their current age than the typical older adults, but they were more active in middle age. They also reported better mental health .

But overall, Dr. Strange said, there were a lot of similarities between the super-agers and the regular agers. “There are a lot of things that are not particularly striking about them,” he said. And, he added, “we see some surprising omissions, things that you would expect to be associated with super-agers that weren’t really there.” For example, there were no differences between the groups in terms of their diets, the amount of sleep they got, their professional backgrounds or their alcohol and tobacco use.

The behaviors of some of the Chicago super-agers were similarly a surprise. Some exercised regularly, but some never had; some stuck to a Mediterranean diet, others subsisted off TV dinners; and a few of them still smoked cigarettes. However, one consistency among the group was that they tended to have strong social relationships , Dr. Rogalski said.

“In an ideal world, you’d find out that, like, all the super-agers, you know, ate six tomatoes every day and that was the key,” said Tessa Harrison, an assistant project scientist at the University of California, Berkeley, who collaborated with Dr. Rogalski on the first Chicago super-ager study.

Instead, Dr. Harrison continued, super-agers probably have “some sort of lucky predisposition or some resistance mechanism in the brain that’s on the molecular level that we don’t understand yet,” possibly related to their genes.

While there isn’t a recipe for becoming a super-ager, scientists do know that, in general , eating healthily, staying physically active, getting enough sleep and maintaining social connections are important for healthy brain aging.

Dana G. Smith is a Times reporter covering personal health, particularly aging and brain health. More about Dana G. Smith

A Guide to Aging Well

Looking to grow old gracefully we can help..

The “car key conversation,” when it’s time for an aging driver to hit the brakes, can be painful for families to navigate . Experts say there are ways to have it with empathy and care.

Calorie restriction and intermittent fasting both increase longevity in animals, aging experts say. Here’s what that means for you .

Researchers are investigating how our biology changes as we grow older — and whether there are ways to stop it .

You need more than strength to age well — you also need power. Here’s how to measure how much power you have and here’s how to increase yours .

Ignore the hyperbaric chambers and infrared light: These are the evidence-backed secrets to aging well .

Your body’s need for fuel shifts as you get older. Your eating habits should shift , too.

People who think positively about getting older often live longer, healthier lives. These tips can help you reconsider your perspective .

Social-media break has huge impact on young women's body image, study finds

Psychology prof says online exposure to idealized images creates 'infinite' opportunities for comparison.

There's a large and growing body of evidence pointing to potentially negative impacts of social media on mental health, from its addictive nature to disruptions in sleep patterns to effects on body image. Now, a new study coming out of York University's Faculty of Health found young women who took a social media break for as little as one week had a significant boost in self-esteem and body image -- particularly those most vulnerable to thin-ideal internalization.

"The statistician inside me was excited -- we don't often see effect sizes this large in my area of psychology research because human behaviour is complicated and there's lots of variability," says Psychology Professor Jennifer Mills, co-author of the paper. "We hope this study can be used to help protect young people and influence social media companies to give users more agency in how they interact with these platforms."

The paper, out this week in the journal Body Image , is thought to be the first to look specifically at social-media breaks and body image. Mills, whose lab has been on the forefront of this kind of research, collaborated on the paper with graduate researcher Lindsay Samson and undergraduate Olivia Smith, both students at York. They expected that there might be recruitment challenges, but it turns out there was enthusiasm for taking a social media pause among the 66 first-year female undergraduates who participated. Half were instructed to continue their social media as per usual, while the other half were given instructions to refrain from Instagram, Facebook, Twitter, and TikTok and other social media use for one week. They conducted baseline surveys before the experiment, and tested the participants again after the week was over.

"There's natural variability in how people feel about their bodies and about themselves in general, so we took that into account statistically, and even after that there were still significant differences between the groups after one week," says Mills, who is also the director of clinical training for the graduate psychology program.

The differences in the social media landscape are remarkable compared to when Mills started researching eating disorders and the effects of media, like magazines aimed at women.

"Back then, you could only spend so many minutes or hours looking at fashion and beauty magazines and they only came out once a month. There was a finite amount of content that you would be exposed to. With social media it's infinite. It's always new and novel, which triggers our brain's reward system that makes us want more and more of something."

Mills says the improvements found in this study might be explained both by women spending far less time engaging in behaviours known to have a detrimental effect, such as comparisons with others, but they may have also replaced social media with healthier behaviours.

"If we're spending more time in real life, socializing with friends, getting sleep, getting outdoors, getting exercise, there could be secondary behaviours that fill the void left by social media. Future research will try to disentangle that."

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Materials provided by York University . Note: Content may be edited for style and length.

Journal Reference :

Olivia E. Smith, Jennifer S. Mills, Lindsay Samson. Out of the loop: Taking a one-week break from social media leads to better self-esteem and body image among young women . Body Image , 2024; 49: 101715 DOI: 10.1016/j.bodyim.2024.101715

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Morphogens in the wiring of the nervous system, serving vulnerable and marginalized populations in social and educational contexts, active and healthy aging and quality of life: interventions and outlook for the future.

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Water and Carbon Dynamics, Ecosystem Stability of Forest and Grassland in Response to Climate Change

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Think Better with Mario Small

May 03, 2024
Think Better Series
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Video Transcript

On Wednesday, May 1, 2024, social scientist Mario Small (Columbia University) joined Chicago Booth's Nick Epley to explore who we turn to when navigating difficult times. One might assume we rely most on close relationships, but Small's research finds that we often confide in more casual acquaintances with whom we have less-complicated relationships.

This event was part of the Think Better speaker series hosted by the Roman Family Center for Decision Research.

A full recap and transcript are forthcoming.

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Music and Health: What You Need To Know

.header_greentext{color:green!important;font-size:24px!important;font-weight:500!important;}.header_bluetext{color:blue!important;font-size:18px!important;font-weight:500!important;}.header_redtext{color:red!important;font-size:28px!important;font-weight:500!important;}.header_darkred{color:#803d2f!important;font-size:28px!important;font-weight:500!important;}.header_purpletext{color:purple!important;font-size:31px!important;font-weight:500!important;}.header_yellowtext{color:yellow!important;font-size:20px!important;font-weight:500!important;}.header_blacktext{color:black!important;font-size:22px!important;font-weight:500!important;}.header_whitetext{color:white!important;font-size:22px!important;font-weight:500!important;}.header_darkred{color:#803d2f!important;}.Green_Header{color:green!important;font-size:24px!important;font-weight:500!important;}.Blue_Header{color:blue!important;font-size:18px!important;font-weight:500!important;}.Red_Header{color:red!important;font-size:28px!important;font-weight:500!important;}.Purple_Header{color:purple!important;font-size:31px!important;font-weight:500!important;}.Yellow_Header{color:yellow!important;font-size:20px!important;font-weight:500!important;}.Black_Header{color:black!important;font-size:22px!important;font-weight:500!important;}.White_Header{color:white!important;font-size:22px!important;font-weight:500!important;} Can music be good for you?

Yes, according to a growing body of research. Listening to or making music affects the brain in ways that may help promote health and manage disease symptoms.

Performing or listening to music activates a variety of structures in the brain that are involved in thinking, sensation, movement, and emotion. These brain effects may have physical and psychological benefits. For example, music causes the release of brain chemicals (neurotransmitters and hormones) that can evoke emotional reactions, memories, and feelings and promote social bonds. Music can even affect the structure of the brain. Certain structures in the brain have been found to be larger in musicians than nonmusicians, with particularly noticeable changes in people who started their musical training at an early age.

Increasing evidence suggests that music-based interventions may be helpful for health conditions that occur during childhood, adulthood, or aging. However, because much of the research on music-based interventions is preliminary, few definite conclusions about their effects have been reached. Many reports on the potential benefits of music-based interventions come from observations of individuals or small groups of people. Evidence of this type is valuable for suggesting new ideas, but carefully designed, scientifically rigorous studies of larger numbers of people are needed to provide stronger evidence on whether music-based interventions are effective for specific purposes.

.header_greentext{color:green!important;font-size:24px!important;font-weight:500!important;}.header_bluetext{color:blue!important;font-size:18px!important;font-weight:500!important;}.header_redtext{color:red!important;font-size:28px!important;font-weight:500!important;}.header_darkred{color:#803d2f!important;font-size:28px!important;font-weight:500!important;}.header_purpletext{color:purple!important;font-size:31px!important;font-weight:500!important;}.header_yellowtext{color:yellow!important;font-size:20px!important;font-weight:500!important;}.header_blacktext{color:black!important;font-size:22px!important;font-weight:500!important;}.header_whitetext{color:white!important;font-size:22px!important;font-weight:500!important;}.header_darkred{color:#803d2f!important;}.Green_Header{color:green!important;font-size:24px!important;font-weight:500!important;}.Blue_Header{color:blue!important;font-size:18px!important;font-weight:500!important;}.Red_Header{color:red!important;font-size:28px!important;font-weight:500!important;}.Purple_Header{color:purple!important;font-size:31px!important;font-weight:500!important;}.Yellow_Header{color:yellow!important;font-size:20px!important;font-weight:500!important;}.Black_Header{color:black!important;font-size:22px!important;font-weight:500!important;}.White_Header{color:white!important;font-size:22px!important;font-weight:500!important;} What is music therapy?

Music therapy is a health profession in which music is used within a therapeutic relationship to address physical, emotional, cognitive, and social needs. The term “music therapy” is not a description of a specific type of intervention. Instead, it indicates the education, training, and credentials of the therapist who is delivering the intervention.

Music therapy may involve a variety of different activities, including music improvisation, music listening, song writing, music performance, and learning through music. Music therapists may work in many different settings, such as hospitals, outpatient clinics, nursing homes, senior centers, rehabilitation facilities, or schools.

Some of the music-based interventions described in this fact sheet fit the definition of music therapy, but others do not. For example, music-based interventions that involve listening to recorded music are often delivered by health professionals other than music therapists (such as nurses), and therefore do not fit the definition of music therapy.

You can learn more about music therapy on the website of the American Music Therapy Association .

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In general, research studies of music-based interventions do not show any negative effects. However, listening to music at too high a volume can contribute to noise-induced hearing loss. You can find out about this type of hearing loss on the National Institute on Deafness and Other Communication Disorders website .

In addition, because music can be associated with strong memories or emotional reactions, some people may be distressed by exposure to specific pieces or types of music. Extensive playing of musical instruments can lead to pain and injury. Music-based interventions that involve exercise or other types of movement could also lead to injury if appropriate safety precautions are not taken.

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The preliminary research that has been done so far suggests that music-based interventions may be helpful for anxiety, depressive symptoms, and pain associated with a variety of health conditions, as well as for some other symptoms associated with dementia, multiple sclerosis, Parkinson’s disease, and other conditions.

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As mentioned in other sections of this fact sheet, there’s evidence that music-based interventions may help to relieve pain associated with specific health conditions. The two review articles listed below describe evidence indicating that music may be helpful for pain more generally. Newer research continues to find evidence that music may be helpful for pain from a variety of causes, but not every study has shown a beneficial effect.

A 2016 review looked at 97 studies (9,184 participants) of music-based interventions for acute or chronic pain associated with a variety of health problems and medical procedures. The overall evidence suggested that music-based interventions may have beneficial effects on both pain intensity and emotional distress from pain and may lead to decreased use of pain-relieving medicines.
A 2017 review of 14 randomized trials (1,178 participants) of music-based interventions for various types of chronic pain found that the interventions reduced self-reported chronic pain and associated depressive symptoms, with a greater effect when the music was chosen by the participant rather than the researcher. The study participants had a variety of conditions that can cause chronic pain, including cancer, fibromyalgia, multiple sclerosis, or osteoarthritis, and most of the interventions involved listening to recorded music.
Many but not all newer studies of music-based interventions for pain have had promising results. For example, in recent studies, music-based interventions were helpful for pain associated with childbirth, cancer chemotherapy, a procedure in which shock waves are used to break up kidney stones, retrieval of eggs for in vitro fertilization, treatment of nose fractures, and sickle cell disease. However, music didn’t seem to be helpful for reducing moderate pain further after use of a lidocaine spray for loop electrosurgical excision (a gynecological procedure), and the results of studies on pain during cystoscopy (a procedure in which a tube is inserted into the bladder) and pain during colonoscopy were inconsistent.

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Music-based interventions have been evaluated for their effects on anxiety in a variety of disease conditions and health care settings. Some examples are given in this section, and others are discussed in the sections on specific health conditions. Most studies have had promising results, except for studies on anxiety associated with dental care.

A 2013 review of 26 studies (2,051 participants) showed that listening to recorded music significantly reduced anxiety in people who were waiting to have surgery. However, there was potential for bias in most of the studies because the investigators who performed the studies knew which participants had listened to music.
A 2016 review of 17 studies (1,381 participants) that evaluated the effect of music-based interventions on anxiety in adults with cancer suggested that the interventions may have a large anxiety-reducing effect. However, there was a high risk of bias in the studies.
A 2015 review of 5 studies (290 participants) in people who were having dialysis treatments suggested that listening to music reduced anxiety. However, these studies have limitations because of their small size and high risk of bias.
A 2018 review concluded that it’s unclear whether listening to music is helpful for dental anxiety. Some studies have suggested that listening to music as a distraction may not be adequate to reduce anxiety in children or highly anxious adults who are having dental care. More active types of music-based interventions (for example, a music-assisted relaxation technique that’s taught to the patient in advance) might be helpful in dental settings but have not been evaluated in formal studies.

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It’s uncertain whether music-based interventions are helpful for people with ASD.

A 2021 review of 22 studies (850 participants) on music therapy for children with ASD was unable to reach any definite conclusions on whether adding music therapy to their care is beneficial, although some studies had promising results. For example, some studies of educational music therapy (involving techniques such as musical games) showed possible benefits on the children’s speech, and some studies of improvisational music therapy (in which children produce music) showed possible benefits on social functioning.
One particularly notable study of music therapy for children with ASD (which was included in the review described above) was a multinational trial involving 364 children from 9 countries. It is the largest study completed so far, and its design was especially rigorous. In this study, the severity of symptoms related to difficulties in social communication did not differ between children who received music therapy along with standard care and those who received standard care alone.

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Preliminary evidence suggests that music-based interventions may be helpful for several types of distress in people with cancer.

A 2021 review of randomized controlled trials (studies in which participants were randomly assigned to a music-based intervention group or a control group), which included 81 trials and 5,576 participants, concluded that in adults with cancer, music interventions may have a large anxiety-reducing effect, a moderately strong beneficial effect on depression, a moderate pain-reducing effect, and a large effect on the quality of life. Most of the trials had a high risk of bias, so their results need to be interpreted with caution. Only seven of the studies included in this review involved children. Two of these studies suggested a beneficial effect on anxiety; no other conclusions could be reached from the small amount of evidence available.
A 2021 review of 11 studies (491 participants) on music interventions for children and adolescents with cancer, which included some studies that were less rigorous than a randomized controlled trial, found evidence suggesting that music-based interventions may decrease anxiety, perceived pain, and depression symptoms and improve state of mind, self-esteem, and quality of life.

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A 2021 systematic review of 12 studies (812 participants) showed that music-based interventions were helpful for shortness of breath, anxiety, and sleep quality in adults with COPD but were not helpful for depression. Because the studies were brief (several days to 12 months) and because researchers measured effects in different ways in different studies, there is some uncertainty about the conclusions.

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Much research is being done on the potential benefits of music-based interventions for people with cognitive impairment or various types of dementia, such as Alzheimer’s disease. Limited evidence suggests that music-based interventions may improve emotional well-being, behavioral challenges, and quality of life in people with these conditions. Whether the interventions have benefits for cognitive functioning is unclear; effects might depend on the population studied or the type of intervention used.

A 2018 review evaluated 22 studies (1,097 participants) of music-based interventions for people with dementia who were living in institutions. Some of the interventions were receptive (listening to music), some were active (singing, playing instruments, moving to music, etc.), and some were a combination of the two. The evidence from these studies indicated that music-based interventions probably reduce depressive symptoms and improve overall behavioral challenges. They may also improve emotional well-being and quality of life and reduce anxiety. However, the interventions may have little or no effect on agitation, aggression, or cognitive function.
A 2021 review looked at 21 studies (1,472 participants) of people with either mild cognitive impairment or mild or moderate dementia; some of the people studied were living in institutions, but others were living in the community. All the music interventions were active; studies that only involved listening to music were not included. Nine of the studies (495 participants) were included in a quantitative analysis of effects on cognitive functioning; this analysis indicated that the music-based interventions had a small beneficial effect. There was also some evidence for beneficial effects on mood and quality of life.

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A 2017 review looked at 9 studies (421 participants) of music-based interventions in adults or adolescents with depression. There was moderate-quality evidence that adding music-based interventions to usual treatment improved depression symptoms when compared with usual treatment alone. Music-based interventions also helped decrease anxiety levels and improve functioning of people with depression (for example, their ability to maintain involvement in work, activities, and relationships).

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A 2020 systematic review of 7 studies (334 participants) found evidence that music-based interventions were beneficial for pain, depression, and quality of life in people with fibromyalgia. However, the amount of research was limited, and the quality of the research was low.

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A 2021 review of music-based interventions for people with multiple sclerosis (10 trials, 429 participants) found consistent evidence that the interventions were beneficial for coordination, balance, some aspects of gait and walking, emotional status, and pain, but no effect was observed for mental fatigability or memory.

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Researchers are evaluating the potential benefits of several types of music-based interventions for Parkinson’s disease symptoms.

Rhythmic auditory stimulation. Rhythmic auditory stimulation uses pulsed sounds (such as those produced by a metronome) to help people synchronize their movements to the rhythm of the sounds. This technique is used to help people with Parkinson’s disease improve their ability to walk. A 2021 analysis of 5 studies (209 total participants) showed significant improvements in gait speed and stride length in people with Parkinson’s disease who participated in rhythmic auditory stimulation. However, the quality of evidence was low, and the number of studies and participants was small.
Music-based movement therapy. Music-based movement therapy combines physical activities such as dance or rhythmic exercises with music. Therapies that involve physical activity have been shown to be helpful for a variety of Parkinson’s disease symptoms. Adding music to the therapy might have additional benefits by providing auditory cues for movement and making the activities more enjoyable. A 2021 analysis of 17 studies (598 participants) of music-based movement therapy showed evidence of improvements in motor function, balance, freezing of gait, walking speed, and mental health but not gait cadence, stride length, or quality of life.
Singing. The potential benefits of singing for people with Parkinson’s disease have been studied primarily in terms of effects on speech. In a 2016 review of 7 studies (102 participants), 5 studies found some evidence of a beneficial effect on speech.

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Music-based interventions are widely used in neonatal intensive care units. However, evidence for physiological benefits for newborn infants is limited.

In a 2020 review of 16 studies (826 infants), 12 of the studies found some evidence of benefits on physiological outcomes (such as heart rate or oxygen saturation), but several of the studies included only small numbers of infants, and the intervention methods used varied from one study to another. The reviewers concluded that the current data are insufficient to confirm physiological benefits. No harmful effects of music-based interventions were seen in the studies included in this review.

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Music-based interventions have been evaluated as adjunct treatments (additions to usual treatment) for people with schizophrenia. A 2020 review of 18 studies (1,212 participants) indicated that adjunct music-based interventions may improve a group of schizophrenia symptoms known as “negative symptoms,” such as reduced emotion and self-neglect, as well as depression symptoms and quality of life. However, music-based interventions did not reduce “positive symptoms,” such as hallucinations and delusions. The quality of the evidence was low.

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Listening to music may improve sleep quality in people with insomnia.

A 2022 review looked at 13 studies (1,007 participants) that examined the effect of listening to recorded music in people with insomnia. The studies suggested music had no effect on insomnia severity compared to no treatment or treatment as usual. Moderate-certainty evidence did suggest, however, that listening to music has a beneficial effect on subjective sleep quality. The studies also provided low-certainty evidence that listening to music might help improve the speed of falling asleep, the length of time spent sleeping, and the amount of time a person is asleep compared to the total time spent in bed.
It’s common for older people to have trouble sleeping. A 2021 review looked at 16 studies of music-based interventions for sleep in older adults (812 participants); 11 studies evaluated music listening, and the other 5 evaluated more complex interventions. The results were mixed, with some studies suggesting that the music interventions were helpful, while others did not.

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Music-based interventions, particularly music therapy, may be helpful for improving physical and psychological markers associated with stress, according to two related reviews.

In a 2020 review with 104 studies (9,617 participants), investigators looked at the effects of a variety of music-based interventions on measures associated with stress, including both physical measures (heart rate, blood pressure, and levels of stress-related hormones) and psychological measures (anxiety, nervousness, restlessness, and feelings of worry). The music-based interventions had a small-to-medium sized beneficial effect on the physical measures and a medium-to-large beneficial effect on the psychological measures.
A second review looked at 47 studies (2,747 participants) of music therapy (excluding other music-based interventions) and found an overall medium-to-large beneficial effect on stress-related outcomes. The effects were greater than those seen in the larger review. The investigators who performed the review suggested that the opportunity for music therapists to tailor interventions to the needs of individual patients might account for the difference.

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Music-based interventions may be helpful in the rehabilitation of people who have had a stroke. A 2019 review of 27 studies (730 participants) found positive effects on physical status (upper-limb activity, various aspects of walking, balance), cognition (paying attention, communication), and mood. In particular, rhythmic auditory stimulation (which involves the use of a metronome combined with physical activities) had beneficial effects on gait and balance, and receptive music therapy (which involves listening to music while performing another task) was helpful for mood and some aspects of cognitive function.

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Tinnitus is the symptom that people often describe as “ringing in the ears,” although it can also sound like roaring, clicking, hissing, or buzzing. It can be caused by noise-induced hearing loss, blockage of the ear canal by earwax, ear or sinus infections, or other health conditions, or by starting or stopping various medications. Sometimes, tinnitus has no obvious cause.

Sound therapies. Various types of sounds, including music, have been used to try to mask tinnitus. However, according to a 2019 review of studies conducted up to that time, the effects of these sound therapies are modest; few people achieve complete remission of tinnitus from sound therapies.
Notched music therapy. A specific type of music therapy called “notched” music therapy has been suggested as a possible way to reduce the severity of tinnitus. Notched music therapy involves listening to music that has been modified to remove sounds close in frequency to the frequency of the tinnitus sound perceived by the patient. Two recent studies that compared notched music with conventional music did not find notched music to be more helpful in reducing the symptoms or impact of tinnitus. However, some earlier studies suggested that the loudness of tinnitus sounds could be reduced with notched music therapy.

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NIH and the John F. Kennedy Center for the Performing Arts, in association with the National Endowment for the Arts, are sponsoring an initiative called Sound Health to increase understanding of music’s effect on the brain and the potential clinical applications. The first Sound Health research projects began in 2019. Some projects are investigating music’s mechanism of action in the brain and how music may be applied to treat symptoms of disorders such as Parkinson’s disease, stroke, and chronic pain. Others are looking at the effects of music on children’s developing brains.

Topics of NCCIH-supported studies within the Sound Health initiative include:

The effects of music-based interventions on neurodevelopment and pain response in preterm infants
Using self-generated rhythmic cues to enhance gait in people with Parkinson’s disease
The impact of singing interventions on markers of cardiovascular health in older people with cardiovascular disease

In collaboration with the Foundation for the NIH and the Renée Fleming Foundation, NIH has developed a toolkit for rigorous, reproducible, well-powered music-based interventions for brain disorders of aging, such as Alzheimer’s disease, Parkinson’s disease, and stroke. Three workshops were held in 2021 to gather input from experts in a variety of relevant fields, and a request for information was issued to get stakeholder feedback. The toolkit , which was released in 2023, will be pilot tested in demonstration projects. NCCIH is playing a lead role in this effort.

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Nccih clearinghouse.

The NCCIH Clearinghouse provides information on NCCIH and complementary and integrative health approaches, including publications and searches of Federal databases of scientific and medical literature. The Clearinghouse does not provide medical advice, treatment recommendations, or referrals to practitioners.

Toll-free in the U.S.: 1-888-644-6226

Telecommunications relay service (TRS): 7-1-1

Website: https://www.nccih.nih.gov

Email: [email protected] (link sends email)

Know the Science

NCCIH and the National Institutes of Health (NIH) provide tools to help you understand the basics and terminology of scientific research so you can make well-informed decisions about your health. Know the Science features a variety of materials, including interactive modules, quizzes, and videos, as well as links to informative content from Federal resources designed to help consumers make sense of health information.

Explaining How Research Works (NIH)

Know the Science: How To Make Sense of a Scientific Journal Article

Understanding Clinical Studies (NIH)

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Aalbers S, Fusar-Poli L, Freeman RE, et al. Music therapy for depression . Cochrane Database of Systematic Reviews. 2017;(11):CD004517. Accessed at cochranelibrary.com on October 29, 2021.
Bieleninik Ł, Geretsegger M, Mössler K, et al. Effects of improvisational music therapy vs enhanced standard care on symptom severity among children with autism spectrum disorder. The TIME—a randomized clinical trial . JAMA. 2017;318(6):525-535.
Bradt J, Dileo C, Magill L, et al. Music interventions for improving psychological and physical outcomes in cancer patients . Cochrane Database of Systematic Reviews. 2016;(8):CD006911. Accessed at cochranelibrary.com on October 29, 2021.
Bradt J, Dileo C, Shim M. Music interventions for preoperative anxiety . Cochrane Database of Systematic Reviews. 2013;(6):CD006908. Accessed at cochranelibrary.com on October 29, 2021.
Burrai F, Apuzzo L, Zanotti R. Effectiveness of rhythmic auditory stimulation on gait in Parkinson disease: a systematic review and meta-analysis . Holistic Nursing Practice. June 11, 2021. [Epub ahead of print].
Cheever T, Taylor A, Finkelstein R, et al. NIH/Kennedy Center workshop on music and the brain: finding harmony . Neuron. 2018;97(6):1214-1218.
Collins FS, Fleming R. Sound health: an NIH-Kennedy Center initiative to explore music and the mind . JAMA. 2017;317(24):2470-2471.
de Witte M, da Silva Pinho A, Stams G-J, et al. Music therapy for stress reduction: a systematic review and meta-analysis . Health Psychology Review. 2022;16(1):134-159.
de Witte M, Spruit A, van Hooren S, et al. Effects of music interventions on stress-related outcomes: a systematic review and two meta-analyses . Health Psychology Review. 2020;14(2):294-324.
Dorris JL, Neely S, Terhorst L, et al. Effects of music participation for mild cognitive impairment and dementia: a systematic review and meta-analysis . Journal of the American Geriatrics Society. 2021;69(9):2659-2667.
Foroushani SM, Herman CA, Wiseman CA, et al. Evaluating physiologic outcomes of music interventions in the neonatal intensive care unit: a systematic review . Journal of Perinatology. 2020;40(12):1770-1779.
Garza-Villareal EA, Pando V, Vuust P, et al. Music-induced analgesia in chronic pain conditions: a systematic review and meta-analysis . Pain Physician. 2017;20(7):597-610.
Jespersen KV, Pando-Naude V, Koenig J, et al. Listening to music for insomnia in adults . Cochrane Database of Systematic Reviews. 2022;(8):CD010459. Accessed at cochranelibrary.com on September 8, 2022.
Lee JH. The effects of music on pain: a meta-analysis . Journal of Music Therapy. 2016;53(4):430-477.
van der Steen JT, Smaling HJ, van der Wouden JC, et al. Music-based therapeutic interventions for people with dementia . Cochrane Database of Systematic Reviews. 2018;(7):CD003447. Accessed at cochranelibrary.com on October 29, 2021.

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Atipas S, Therdphaothai J, Suvansit K, et al. A randomized, controlled trial of notched music therapy for tinnitus patients. Journal of International Advanced Otology. 2021;17(3):221-227.
Barnish J, Atkinson RA, Barran SM, et al. Potential benefit of singing for people with Parkinson’s disease: a systematic review. Journal of Parkinson’s Disease. 2016;6(3):473-484.
Bird HA. Overuse syndrome in musicians. Clinical Rheumatology. 2013;32(4):475-479.
Bradt J, Teague A. Music interventions for dental anxiety. Oral Diseases. 2018;24(3):300-306.
Brancatisano O, Baird A, Thompson WF. Why is music therapeutic for neurological disorders? The therapeutic music capacities model. Neuroscience and Biobehavioral Reviews. 2020;112:600-615.
Buglione A, Saccone G, Mas M, et al. Effect of music on labor and delivery in nulliparous singleton pregnancies: a randomized clinical trial. Archives of Gynecology and Obstetrics. 2020;310(3):693-698.
Burrai F, Magavern EF, Micheluzzi V, et al. Effectiveness of music to improve anxiety in hemodialysis patients. A systematic review and meta-analysis. Holistic Nursing Practice. 2020;34(6):324-333.
Cakmak O, Cimen S, Tarhan H, et al. Listening to music during shock wave lithotripsy decreases anxiety, pain, and dissatisfaction. A randomized controlled study. Wiener Klinische Wochenscrift. 2017;129(19-20):687-691.
Ç elebi D, Y ı lmaz E, Ş ahin ST, et al. The effect of music therapy during colonoscopy on pain, anxiety and patient comfort: a randomized controlled trial. Complementary Therapies in Clinical Practice. 2020;38:101084.
Chantawong N, Charoenkwan K. Effects of music listening during loop electrosurgical excision procedure on pain and anxiety: a randomized trial. Journal of Lower Genital Tract Disease. 2017;21(4):307-310.
Cheung CWC, Yee AWW, Chan PS, et al. The impact of music therapy on pain and stress reduction during oocyte retrieval—a randomized controlled trial. Reproductive Biomedicine Online. 2018;37(2):145-152.
Çift A, Benlioğlu C. Effect of different musical types on patient’s relaxation, anxiety and pain perception during shock wave lithotripsy: a randomized controlled study. Urology Journal. 2020;17(1):19-23.
Gonz á lez-Mart í n-Moreno M, Garrido-Ardila EM, Jim é nez-Palomares M, et al. Music-based interventions in paediatric and adolescents oncology patients: a systematic review. Children. 2021;8(2):73.
Huang J, Yuan X, Zhang N, et al. Music therapy in adults with COPD. Respiratory Care. 2021;66(3):501-509.
Jia R, Liang D, Yu J, et al. The effectiveness of adjunct music therapy for patients with schizophrenia: a meta-analysis. Psychiatry Research. 2020;293:113464.
Ko SY, Leung DYP, Wong EML. Effects of easy listening music intervention on satisfaction, anxiety, and pain in patients undergoing colonoscopy: a pilot randomized controlled trial. Clinical Interventions in Aging. 2019;14:977-986.
Koelsch S. A neuroscientific perspective on music therapy. Annals of the New York Academy of Sciences. 2009;1169:374-384.
Le Perf G, Donguy A-L, Thebault G. Nuanced effects of music interventions on rehabilitation outcomes after stroke: a systematic review. Topics in Stroke Rehabilitation. 2019;26(6):473-484.
Lopes J, Keppers II. Music-based therapy in rehabilitation of people with multiple sclerosis: a systematic review of clinical trials. Arquivos de Neuro-psiquiatria. 2021;79(6):527-535.
Mayer-Benarous H, Benarous X, Vonthron F, et al. Music therapy for children with autistic spectrum disorder and/or other neurodevelopmental disorders: a systematic review. Frontiers in Psychiatry. 2021;12:643234.
McClintock G, Wong E, Mancuso P, et al. Music during flexible cystoscopy for pain and anxiety – a patient-blinded randomized control trial. BJU International. 2021;128 Suppl 1:27-32.
Mumm J-N, Eismann L, Rodler S, et al. Listening to music during outpatient cystoscopy reduces pain and anxiety and increases satisfaction: results from a prospective randomized study. Urologia Internationalis . 2021;105(9-10):792-798.
Ortega A, Gauna F, Munoz D, et al. Music therapy for pain and anxiety management in nasal bone fracture reduction: randomized controlled clinical trial. Otolaryngology—Head and Neck Surgery. 2019;161(4):613-619.
Perković R, Dević K, Hrkać A, et al. Relationship between education of pregnant women and listening to classical music with the experience of pain in childbirth and the occurrence of psychological symptoms in puerperium. Psychiatria Danubina. 2021;33(Suppl 13):260-270.
Petrovsky DV, Ramesh P, McPhillips MV, et al. Effects of music interventions on sleep in older adults: a systematic review. Geriatric Nursing. 2021;42(4):869-879.
Pienkowski M. Rationale and efficacy of sound therapies for tinnitus and hyperacusis. Neuroscience. 2019;407:120-134.
Piromchai P, Chompunut S, Kasemsiri P, et al. A three-arm, single-blind, randomized controlled trial examining the effects of notched music therapy, conventional music therapy, and counseling on tinnitus. Otology & Neurotology. 2021;42(2):335-340.
Robb SL, Hanson-Abromeit D, May L, et al. Reporting quality of music intervention research in healthcare: a systematic review. Complementary Therapies in Medicine. 2018;38:24-41.
Rodgers-Melnick SN, Matthie N, Jenerette C, et al. The effects of a single electronic music improvisation session on the pain of adults with sickle cell disease: a mixed methods pilot study. Journal of Music Therapy. 2018;55(2):156-185.
Silverman MJ, Gooding LF, Yinger O. It’s…complicated: a theoretical model of music-induced harm. Journal of Music Therapy. 2020;57(3):251-281.
Speranza L, Pulcrano S, Perrone-Capano C, et al. Music affects functional brain connectivity and is effective in the treatment of neurological disorders. Reviews in the Neurosciences. March 24, 2022. [Epub ahead of print].
Tang H, Chen L, Wang Y, et al. The efficacy of music therapy to relieve pain, anxiety, and promote sleep quality, in patients with small cell lung cancer receiving platinum-based chemotherapy. Supportive Care in Cancer. 2021;29(12):7299-7306.
Wang M, Yi G, Gao H, et al. Music-based interventions to improve fibromyalgia syndrome: a meta-analysis. Explore. 2020;16(6):357-362.
Wolff AL, Ling DI, Casey EK, et al. Feasibility and impact of a musculoskeletal health for musicians (MHM) program for musician students: a randomized controlled pilot study. Journal of Hand Therapy. 2021:34(2):159-165.
Zhou Z, Zhou R, Wei W, et al. Effects of music-based movement therapy on motor function, balance, gait, mental health, and quality of life for patients with Parkinson’s disease: a systematic review and meta-analysis. Clinical Rehabilitation. 2021;35(7):937-951.

Acknowledgments

NCCIH thanks Wen Chen, Ph.D., Emmeline Edwards, Ph.D., and David Shurtleff, Ph.D., NCCIH, for their review of this fact sheet.

This publication is not copyrighted and is in the public domain. Duplication is encouraged.

NCCIH has provided this material for your information. It is not intended to substitute for the medical expertise and advice of your health care provider(s). We encourage you to discuss any decisions about treatment or care with your health care provider. The mention of any product, service, or therapy is not an endorsement by NCCIH.

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Top social science questions
In order to be socially relevant, social research has to be problem-driven. I think, the most pressing problems of today are (1) sustainability transition, incl. natural resource governance, ... Top ten social science questions (Nature 470, 18-19 (2011) doi:10.1038/470018a): 1. How can we induce people to look after their health?
PDF What Makes a Good Research Question?
In essence, the research question that guides the sciences and social sciences should do the following three things:2. 1) Post a problem. 2) Shape the problem into a testable hypothesis. 3) Report the results of the tested hypothesis. There are two types of data that can help shape research questions in the sciences and social sciences ...
10 Research Question Examples to Guide your Research Project
The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.
8.2 Writing a good research question
In sum, a good research question generally has the following features: It is written in the form of a question. It is clearly written. It is not answerable with a simple "yes" or "no". It has more than one plausible answer. It considers relationships among multiple variables. It is specific and clear about the concepts it addresses.
PDF RESEARCH QUESTIONS
Evaluating the quality of published social research requires evaluating research questions; yet before this can happen, the questions leading the research must be identified. An important skill in reading and evaluating research is the ability to identify research questions. Because a research question is simply that—a question—it would seem
The Research Problem/Question
Bryman, Alan. "The Research Question in Social Research: What is its Role?" International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. "Competing Paradigms in Qualitative Research." ... A general rule of thumb in the social sciences is that a good research problem is one that would ...
Writing Strong Research Questions
A good research question is essential to guide your research paper, dissertation, or thesis. All research questions should be: Focused on a single problem or issue. Researchable using primary and/or secondary sources. Feasible to answer within the timeframe and practical constraints. Specific enough to answer thoroughly.
9. Writing your research question
Writing a good research question is an art and a science. It is a science because you have to make sure it is clear, concise, and well-developed. It is an art because often your language needs "wordsmithing" to perfect and clarify the meaning. This is an exciting part of the research process; however, it can also be one of the most stressful.
Research Question
A research question pinpoints exactly what you want to discover in your work.A good research question is essential to guide your research paper. All research questions should be: Focused on a single problem or issue; Researchable using primary and/or secondary sources; Feasible to answer within the timeframe and practical constraints; Specific enough to answer thoroughly
8: Creating and refining a research question
Once this process is completed, you'll be ready to start answering your question. 8.1: Empirical versus ethical questions. 8.2: Writing a good research question. 8.3: Quantitative research questions. 8.4: Qualitative research questions. 8.5: Feasibility and importance. 8.6: Matching question and design. This chapter discusses or mentions the ...
3.3 Developing a Researchable Research Question
Research Methods for the Social Sciences: An Introduction. Chapter 3: Developing a Research Question. ... A good research question also has some specific characteristics: It is generally written in the form of a question. It is well-focused. It cannot be answered with a simple yes or no.
8.2: Writing a good research question
A good research question is also one that is well-focused. A well-focused question helps you tune out irrelevant information and not try to answer everything about the world all at once. ... Social work research questions must contain a target population. Her study would be very different if she were to conduct it on older adults or newly ...
8.3: Quantitative research questions
A good research question should also be specific and clear about the concepts it addresses. ... social work research demands that you examine the literature on the topic and refine your question over time to be more specific and clear before you begin your study. ... We also acknowledge previous National Science Foundation support under grant ...
Research Questions & Hypotheses
An inadequately formulated research question can negatively impact study design, potentially leading to ineffective outcomes and affecting publication prospects. Checklist: Good research questions for social science projects (Panke, 2018) Research Hypotheses Present the researcher's predictions based on specific statements
Finding a Researchable Question
Typically, they include a final section that identifies remaining questions or future directions research might take. Among the databases for finding literature reviews, we recommend you start with: Annual Reviews offers authoritative syntheses of the primary research literature in 46 academic fields, including anthropology, economics, law ...
High-impact research questions, by discipline
About these research questions. People frequently ask us what high-impact research in different disciplines might look like. This might be because they're already working in a field and want to shift their research in a more impactful direction. Or maybe they're thinking of pursuing an academic research career and they aren't sure which ...
Social Science Research: Principles, Methods and Practices
This book covers all the important topics in social science research and is approachable regardless of discipline and course level (high school, undergraduate, graduate, and even post-graduate). ... Social Science Research, is a good introductory textbook for upper-level undergraduate students and graduate students to learn about the research ...
189+ Best Social Science Research Paper Topics For Students
Social Science Research Paper Topics are subjects, questions, or themes within the realm of social sciences that students investigate and write about in research papers. These topics cover a broad spectrum of disciplines, including sociology, psychology, anthropology, economics, political science, and more.
3.3 Refining your question
8.2 Writing a good research question. 8.3 Quantitative research questions. 8.4 Qualitative research questions. 8.6 Matching question and design. ... Although the PICO method is used primarily in the health sciences, it can also be useful for narrowing/refining a research question in the social sciences. A way to formulate an answerable question ...
The Research Question in Social Research: What is its Role?
His main research interests lie in research methodology, leadership studies, organizational analysis, the process of Disneyization and theme parks. He is author or co‐author of many books, and a co‐editor of The SAGE Encyclopedia of Social Science Research (Sage, 2003) and the Handbook of Data Analysis (Sage, 2004).
Formulation of Research Question
Abstract. Formulation of research question (RQ) is an essentiality before starting any research. It aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. It is, therefore, pertinent to formulate a good RQ. The present paper aims to discuss the process of formulation of RQ with stepwise ...
32 Research Questions for Social Studies Projects
Social Studies Projects: Focusing Student Research. Give students just one targeted set of research questions (history, physical geography, human geography, government, or economics) or arm them with the whole list. Either way, these research questions for social studies will help guide their research for that next paper, presentation, or project.
100 Best Social Science Research Topics in 2023
19. Control of the media is a crucial component in maintaining the survival of authoritarian and populist administrations. 20. Companies and agencies roles in black PR elections. #3. Gender. Below are some social science research topics on gender. 21. Tribal societies and societies based on matriarchy (e.g. Tibet)
Writing Survey Questions
Creating good measures involves both writing good questions and organizing them to form the questionnaire. ... It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts ...
Q-and-A with Kathryn Thompson
Just a few months into navigating her first role as an early-stage investigator, Kathryn Thompson is discovering the double-edged sword of being an independent researcher. "You're new and you're in a space where you're building up a team, but a lot of the weight and the pressure of some of these projects are still on your shoulders," Thompson said, acknowledging the responsibility of ...
A Peek Inside the Brains of 'Super-Agers'
The research was conducted on 119 octogenarians from Spain: 64 super-agers and 55 older adults with normal memory abilities for their age. The participants completed multiple tests assessing their ...
Social-media break has huge impact on young women's body ...
Social-media break has huge impact on young women's body image, study finds Psychology prof says online exposure to idealized images creates 'infinite' opportunities for comparison
Frontiers ebook releases: April 2024
Download the top ebook releases from this month. All ebooks are free to download, share, and distribute.
Think Better with Mario Small
On Wednesday, May 1, 2024, social scientist Mario Small (Columbia University) joined Chicago Booth's Nick Epley to explore who we turn to when navigating difficult times. One might assume we rely most on close relationships, but Small's research finds that we often confide in more casual acquaintances with whom we have less-complicated ...
Music and Health: What You Need To Know
Annals of the New York Academy of Sciences. 2009;1169:374-384. Le Perf G, Donguy A-L, Thebault G. Nuanced effects of music interventions on rehabilitation outcomes after stroke: a systematic review. Topics in Stroke Rehabilitation. 2019;26(6):473-484. Lopes J, Keppers II. Music-based therapy in rehabilitation of people with multiple sclerosis ...

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Organizing Your Social Sciences Research Paper

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Structure and Writing Style

9 9. Writing your research question

9.1 Empirical vs. ethical questions

Empirical vs. ethical questions

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9.2 Characteristics of a good research question

9.3 Quantitative research questions

Quantitative descriptive questions

Quantitative explanatory questions

Making it more specific

Quantitative exploratory questions

9.4 Qualitative research questions

9.5 Evaluating and updating your research questions

Feasibility and importance

Matching your research question and study design

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Research Questions & Hypotheses

Research Questions

Checklist: Good research questions for social science projects (Panke, 2018)

Research Hypotheses

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189+ Best Social Science Research Paper Topics For Students

What Are Social Science Research Paper Topics

How to Choose and Find Social Science Research Paper Topics

1. Identify Your Interests

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4. Consult with Professors

5. Consider Feasibility

6. Narrow or Broaden Your Focus

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