research methods for social work chegg

Graduate research methods in social work

(2 reviews)

Matt DeCarlo, La Salle University

Cory Cummings, Nazareth University

Kate Agnelli, Virginia Commonwealth University

Copyright Year: 2021

ISBN 13: 9781949373219

Publisher: Open Social Work Education

Language: English

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Reviewed by Laura Montero, Full-time Lecturer and Course Lead, Metropolitan State University of Denver on 12/23/23

Graduate Research Methods in Social Work by DeCarlo, et al., is a comprehensive and well-structured guide that serves as an invaluable resource for graduate students delving into the intricate world of social work research. The book is divided... read more

Comprehensiveness rating: 4 see less

Graduate Research Methods in Social Work by DeCarlo, et al., is a comprehensive and well-structured guide that serves as an invaluable resource for graduate students delving into the intricate world of social work research. The book is divided into five distinct parts, each carefully curated to provide a step-by-step approach to mastering research methods in the field. Topics covered include an intro to basic research concepts, conceptualization, quantitative & qualitative approaches, as well as research in practice. At 800+ pages, however, the text could be received by students as a bit overwhelming.

Content Accuracy rating: 5

Content appears consistent and reliable when compared to similar textbooks in this topic.

Relevance/Longevity rating: 5

The book's well-structured content begins with fundamental concepts, such as the scientific method and evidence-based practice, guiding readers through the initiation of research projects with attention to ethical considerations. It seamlessly transitions to detailed explorations of both quantitative and qualitative methods, covering topics like sampling, measurement, survey design, and various qualitative data collection approaches. Throughout, the authors emphasize ethical responsibilities, cultural respectfulness, and critical thinking. These are crucial concepts we cover in social work and I was pleased to see these being integrated throughout.

Clarity rating: 5

The level of the language used is appropriate for graduate-level study.

Consistency rating: 5

Book appears to be consistent in the tone and terminology used.

Modularity rating: 4

The images and videos included, help to break up large text blocks.

Organization/Structure/Flow rating: 5

Topics covered are well-organized and comprehensive. I appreciate the thorough preamble the authors include to situate the role of the social worker within a research context.

Interface rating: 4

When downloaded as a pdf, the book does not begin until page 30+ so it may be a bit difficult to scroll so long for students in order to access the content for which they are searching. Also, making the Table of Contents clickable, would help in navigating this very long textbook.

Grammatical Errors rating: 5

I did not find any grammatical errors or typos in the pages reviewed.

Cultural Relevance rating: 5

I appreciate the efforts made to integrate diverse perspectives, voices, and images into the text. The discussion around ethics and cultural considerations in research was nuanced and comprehensive as well.

Overall, the content of the book aligns with established principles of social work research, providing accurate and up-to-date information in a format that is accessible to graduate students and educators in the field.

Reviewed by Elisa Maroney, Professor, Western Oregon University on 1/2/22

With well over 800 pages, this text is beyond comprehensive! read more

Comprehensiveness rating: 5 see less

With well over 800 pages, this text is beyond comprehensive!

I perused the entire text, but my focus was on "Part 4: Using qualitative methods." This section seems accurate.

As mentioned above, my primary focus was on the qualitative methods section. This section is relevant to the students I teach in interpreting studies (not a social sciences discipline).

This book is well-written and clear.

Navigating this text is easy, because the formatting is consistent

Modularity rating: 5

My favorite part of this text is that I can be easily customized, so that I can use the sections on qualitative methods.

The text is well-organized and easy to find and link to related sections in the book.

Interface rating: 5

There are no distracting or confusing features. The book is long; being able to customize makes it easier to navigate.

I did not notice grammatical errors.

The authors offer resources for Afrocentricity for social work practice (among others, including those related to Feminist and Queer methodologies). These are relevant to the field of interpreting studies.

I look forward to adopting this text in my qualitative methods course for graduate students in interpreting studies.

Table of Contents

• 1. Science and social work
• 2. Starting your research project
• 3. Searching the literature
• 4. Critical information literacy
• 5. Writing your literature review
• 6. Research ethics
• 7. Theory and paradigm
• 8. Reasoning and causality
• 9. Writing your research question
• 10. Quantitative sampling
• 11. Quantitative measurement
• 12. Survey design
• 13. Experimental design
• 14. Univariate analysis
• 15. Bivariate analysis
• 16. Reporting quantitative results
• 17. Qualitative data and sampling
• 18. Qualitative data collection
• 19. A survey of approaches to qualitative data analysis
• 20. Quality in qualitative studies: Rigor in research design
• 21. Qualitative research dissemination
• 22. A survey of qualitative designs
• 23. Program evaluation
• 24. Sharing and consuming research

Ancillary Material

About the book.

We designed our book to help graduate social work students through every step of the research process, from conceptualization to dissemination. Our textbook centers cultural humility, information literacy, pragmatism, and an equal emphasis on quantitative and qualitative methods. It includes extensive content on literature reviews, cultural bias and respectfulness, and qualitative methods, in contrast to traditionally used commercial textbooks in social work research.  

Our author team spans across academic, public, and nonprofit social work research. We love research, and we endeavored through our book to make research more engaging, less painful, and easier to understand. Our textbook exercises direct students to apply content as they are reading the book to an original research project. By breaking it down step-by-step, writing in approachable language, as well as using stories from our life, practice, and research experience, our textbook helps professors overcome students’ research methods anxiety and antipathy.  

If you decide to adopt our resource, we ask that you complete this short  Adopter’s Survey  that helps us keep track of our community impact. You can also contact  [email protected]  for a student workbook, homework assignments, slideshows, a draft bank of quiz questions, and a course calendar. 

About the Contributors

Matt DeCarlo , PhD, MSW is an assistant professor in the Department of Social Work at La Salle University. He is the co-founder of Open Social Work (formerly Open Social Work Education), a collaborative project focusing on open education, open science, and open access in social work and higher education. His first open textbook, Scientific Inquiry in Social Work, was the first developed for social work education, and is now in use in over 60 campuses, mostly in the United States. He is a former OER Research Fellow with the OpenEd Group. Prior to his work in OER, Dr. DeCarlo received his PhD from Virginia Commonwealth University and has published on disability policy.

Cory Cummings , Ph.D., LCSW is an assistant professor in the Department of Social Work at Nazareth University. He has practice experience in community mental health, including clinical practice and administration. In addition, Dr. Cummings has volunteered at safety net mental health services agencies and provided support services for individuals and families affected by HIV. In his current position, Dr. Cummings teaches in the BSW program and MSW programs; specifically in the Clinical Practice with Children and Families concentration. Courses that he teaches include research, social work practice, and clinical field seminar. His scholarship focuses on promoting health equity for individuals experiencing symptoms of severe mental illness and improving opportunities to increase quality of life. Dr. Cummings received his PhD from Virginia Commonwealth University.

Kate Agnelli , MSW, is an adjunct professor at VCU’s School of Social Work, teaching masters-level classes on research methods, public policy, and social justice. She also works as a senior legislative analyst with the Joint Legislative Audit and Review Commission (JLARC), a policy research organization reporting to the Virginia General Assembly. Before working for JLARC, Ms. Agnelli worked for several years in government and nonprofit research and program evaluation. In addition, she has several publications in peer-reviewed journals, has presented at national social work conferences, and has served as a reviewer for Social Work Education. She received her MSW from Virginia Commonwealth University.

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In This Article Expand or collapse the "in this article" section Social Work Research Methods

Introduction.

• History of Social Work Research Methods
• Feasibility Issues Influencing the Research Process
• Measurement Methods
• Existing Scales
• Group Experimental and Quasi-Experimental Designs for Evaluating Outcome
• Single-System Designs for Evaluating Outcome
• Program Evaluation
• Surveys and Sampling
• Introductory Statistics Texts
• Advanced Aspects of Inferential Statistics
• Qualitative Research Methods
• Qualitative Data Analysis
• Historical Research Methods
• Meta-Analysis and Systematic Reviews
• Research Ethics
• Culturally Competent Research Methods
• Teaching Social Work Research Methods

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• Community-Based Participatory Research
• Economic Evaluation
• Evidence-based Social Work Practice
• Evidence-based Social Work Practice: Finding Evidence
• Evidence-based Social Work Practice: Issues, Controversies, and Debates
• Experimental and Quasi-Experimental Designs
• Impact of Emerging Technology in Social Work Practice
• Implementation Science and Practice
• Interviewing
• Measurement, Scales, and Indices
• Meta-analysis
• Occupational Social Work
• Postmodernism and Social Work
• Qualitative Research
• Research, Best Practices, and Evidence-based Group Work
• Social Intervention Research
• Social Work Profession
• Systematic Review Methods
• Technology for Social Work Interventions

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Forthcoming articles expand or collapse the "forthcoming articles" section.

• Child Welfare Effectiveness
• Rare and Orphan Diseases and Social Work Practice
• Unaccompanied Immigrant and Refugee Children
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Social Work Research Methods by Allen Rubin LAST REVIEWED: 14 December 2009 LAST MODIFIED: 14 December 2009 DOI: 10.1093/obo/9780195389678-0008

Social work research means conducting an investigation in accordance with the scientific method. The aim of social work research is to build the social work knowledge base in order to solve practical problems in social work practice or social policy. Investigating phenomena in accordance with the scientific method requires maximal adherence to empirical principles, such as basing conclusions on observations that have been gathered in a systematic, comprehensive, and objective fashion. The resources in this entry discuss how to do that as well as how to utilize and teach research methods in social work. Other professions and disciplines commonly produce applied research that can guide social policy or social work practice. Yet no commonly accepted distinction exists at this time between social work research methods and research methods in allied fields relevant to social work. Consequently useful references pertaining to research methods in allied fields that can be applied to social work research are included in this entry.

This section includes basic textbooks that are used in courses on social work research methods. Considerable variation exists between textbooks on the broad topic of social work research methods. Some are comprehensive and delve into topics deeply and at a more advanced level than others. That variation is due in part to the different needs of instructors at the undergraduate and graduate levels of social work education. Most instructors at the undergraduate level prefer shorter and relatively simplified texts; however, some instructors teaching introductory master’s courses on research prefer such texts too. The texts in this section that might best fit their preferences are by Yegidis and Weinbach 2009 and Rubin and Babbie 2007 . The remaining books might fit the needs of instructors at both levels who prefer a more comprehensive and deeper coverage of research methods. Among them Rubin and Babbie 2008 is perhaps the most extensive and is often used at the doctoral level as well as the master’s and undergraduate levels. Also extensive are Drake and Jonson-Reid 2007 , Grinnell and Unrau 2007 , Kreuger and Neuman 2006 , and Thyer 2001 . What distinguishes Drake and Jonson-Reid 2007 is its heavy inclusion of statistical and Statistical Package for the Social Sciences (SPSS) content integrated with each chapter. Grinnell and Unrau 2007 and Thyer 2001 are unique in that they are edited volumes with different authors for each chapter. Kreuger and Neuman 2006 takes Neuman’s social sciences research text and adapts it to social work. The Practitioner’s Guide to Using Research for Evidence-based Practice ( Rubin 2007 ) emphasizes the critical appraisal of research, covering basic research methods content in a relatively simplified format for instructors who want to teach research methods as part of the evidence-based practice process instead of with the aim of teaching students how to produce research.

Drake, Brett, and Melissa Jonson-Reid. 2007. Social work research methods: From conceptualization to dissemination . Boston: Allyn and Bacon.

This introductory text is distinguished by its use of many evidence-based practice examples and its heavy coverage of statistical and computer analysis of data.

Grinnell, Richard M., and Yvonne A. Unrau, eds. 2007. Social work research and evaluation: Quantitative and qualitative approaches . 8th ed. New York: Oxford Univ. Press.

Contains chapters written by different authors, each focusing on a comprehensive range of social work research topics.

Kreuger, Larry W., and W. Lawrence Neuman. 2006. Social work research methods: Qualitative and quantitative applications . Boston: Pearson, Allyn, and Bacon.

An adaptation to social work of Neuman's social sciences research methods text. Its framework emphasizes comparing quantitative and qualitative approaches. Despite its title, quantitative methods receive more attention than qualitative methods, although it does contain considerable qualitative content.

Rubin, Allen. 2007. Practitioner’s guide to using research for evidence-based practice . Hoboken, NJ: Wiley.

This text focuses on understanding quantitative and qualitative research methods and designs for the purpose of appraising research as part of the evidence-based practice process. It also includes chapters on instruments for assessment and monitoring practice outcomes. It can be used at the graduate or undergraduate level.

Rubin, Allen, and Earl R. Babbie. 2007. Essential research methods for social work . Belmont, CA: Thomson Brooks Cole.

This is a shorter and less advanced version of Rubin and Babbie 2008 . It can be used for research methods courses at the undergraduate or master's levels of social work education.

Rubin, Allen, and Earl R. Babbie. Research Methods for Social Work . 6th ed. Belmont, CA: Thomson Brooks Cole, 2008.

This comprehensive text focuses on producing quantitative and qualitative research as well as utilizing such research as part of the evidence-based practice process. It is widely used for teaching research methods courses at the undergraduate, master’s, and doctoral levels of social work education.

Thyer, Bruce A., ed. 2001 The handbook of social work research methods . Thousand Oaks, CA: Sage.

This comprehensive compendium includes twenty-nine chapters written by esteemed leaders in social work research. It covers quantitative and qualitative methods as well as general issues.

Yegidis, Bonnie L., and Robert W. Weinbach. 2009. Research methods for social workers . 6th ed. Boston: Allyn and Bacon.

This introductory paperback text covers a broad range of social work research methods and does so in a briefer fashion than most lengthier, hardcover introductory research methods texts.

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Part 1: Introduction to research

2. Starting your research project

Chapter outline.

• Choosing a research topic (10 minute read)
• Your research proposal (14 minute read)
• Practical and ethical considerations (14 minute read)
• Raw data (10 minute read)
• Critical considerations (5 minute read)

Content warning: Examples in this chapter discuss substance use disorders, mental health disorders and therapies, obesity, poverty, gun violence, gang violence, school discipline, racism and hate groups, domestic violence, trauma and triggers, incarceration, child neglect and abuse, bullying, self-harm and suicide, racial discrimination in housing, burnout in helping professions, and sex trafficking of indigenous women.

2.1 Choosing a research topic

Learning objectives.

Learners will be able to…

• Brainstorm topics you may want to investigate as part of a research project
• Explore your feelings and existing knowledge about the topic
• Develop a working question

Research methods is a unique class in that you get to decide what you want to learn about. Perhaps you came to your MSW program with a specific issue you were passionate about. In my MSW program, I wanted to learn about the best interventions to use with people who have substance use disorders. This was in line with my future career plans, which included working in a clinical setting with clients with co-occurring mental health and substance use issues. I suggest you start by thinking about your future practice goals and create a research project that addresses a topic that represents an area of social work you are passionate about.

For those of you without a specific direction, don’t worry. Many people enter their MSW program without an exact topic in mind they want to study. Throughout the program, you will be exposed to different populations, theories, practice interventions, and policies that will spark your interest. Think back to papers you enjoyed researching and writing in other classes. You may want to continue studying the same topic. Research methods will enable you to gain a deeper, more nuanced understanding of a topic or issue. If you haven’t found an interesting topic yet, here are some other suggestions for seeking inspiration for a research project:

• If you already have practice experience in social work through employment, an internship, or volunteer work, think about practice issues you noticed in the placement. Do you have any idea of how to better address client needs? Do you need to learn more about existing interventions or the programs that fund your agency? Use this class as an opportunity to engage with your previous field experience in greater detail. Begin with “what” and “why” questions and then expand on those. For example, what are the most effective methods of treating severe depression among a specific population? Or why are people receiving food assistance more likely to be obese? 
• You could also a sk a professor at your school about possible topics. Read departmental information on faculty research interests, which may surprise you. Most departmental websites post the curriculum vitae (CV) of faculty, which lists their publications, credentials, and interests. For those of you interested in doctoral study, this process is particularly important. Students often pick schools based on professors they want to learn from or research initiatives they want to join. 

Once you have a potential idea, start reading! A simple web search should bring you some basic information about your topic. News articles can reveal new or controversial information. You may also want to identify and browse academic journals related to your research interests. Faculty and librarians can help you identify relevant journals in your field and specific areas of interest. We’ll also review more detailed strategies for searching the literature in Chapter 3. As you read, look for what’s missing. These may be “gaps in the literature” that you might explore in your own study.

It’s a good idea to keep it simple when you’re starting your project. Choose a topic that can be easily defined and explored. Your study cannot focus on everything that is important about your topic. A study on gun violence might address only one system, for example schools, while only briefly mentioning other systems that impact gun violence. That doesn’t mean it’s a bad study! Every study presents only a small picture of a larger, more complex and multifaceted issue. The sooner you can arrive at something specific and clear that you want to study, the better off your project will be.

Writing a working question

There are lots of great research topics. Perhaps your topic is a client population—for example, youth who identify as LGBTQ+ or visitors to a local health clinic. In other cases, your topic may be a social problem, such as gang violence, or a social policy or program, such as zero-tolerance policies in schools. Alternately, maybe there are interventions such as dialectical behavioral therapy or applied behavior analysis that interest you.

Whatever your topic idea, begin to think about it in terms of a question. What do you really want to know about the topic? As a warm-up exercise, try dropping a possible topic idea into one of the blank spaces below. The questions may help bring your subject into sharper focus and bring you closer towards developing your topic.

• What does ___ mean?
• What are the causes of ___?
• What are the consequences of ___?
• What are the component parts of ___?
• How does ___ impact ___?
• What is it like to experience ___?
• What is the relationship between _____ and the outcome of ____?
• What case can be made for or against ___?
• What are the risk/protective factors for ___?
• How do people think about ___?

Take a minute right now and write down a question you want to answer. Even if it doesn’t seem perfect, it is important to start somewhere. Make sure your research topic is relevant to social work. You’d be surprised how much of the world that encompasses. It’s not just research on mental health treatment or child welfare services. Social workers can study things like the pollution of irrigation systems and entrepreneurship in women, among other topics. The only requirement is your research must inform action to fight social problems faced by target populations.

Because research is an iterative process , one that you will revise over and over, your question will continue to evolve. As you progress through this textbook, you’ll learn how to refine your question and include the necessary components for proper qualitative and quantitative research questions. Your question will also likely change as you engage with the literature on your topic. You will learn new and important concepts that may shift your focus or clarify your original ideas. Trust that a strong question will emerge from this process. A good researcher must be comfortable with altering their question as a result of scientific inquiry.

Very often, our students will email us in the first few weeks of class and ask if they have a good research topic. We love student emails! But just to reassure you if you’re about to send a panicked email to your professor, as long as you are interested in dedicating a semester or two learning about your topic, it will make a good research topic. That’s why we would advise you to focus on how much you like this topic, so that three months from now you are still motivated to complete your project. Your project should have meaning to you.

How do you feel about your topic?

Now that you have an idea of what you might want to study, it’s time to consider what you think and feel about that topic. Your motivation for choosing a topic does not have to be objective. Because social work is a value-based profession, scholars often find themselves motivated to conduct research that furthers social justice or fights oppression. Just because you think a policy is wrong or a group is being marginalized, for example, does not mean that your research will be biased. It means you must understand what you feel, why you feel that way, and what would cause you to feel differently about your topic.

Start by asking yourself how you feel about your topic. Sometimes the best topics to research are those about which you feel strongly. What better way to stay engaged with your research project than to study something you are passionate about? However, you must be able to accept that people may have a different perspective, and you must represent their viewpoints fairly in the research report you produce. If you feel prepared to accept all findings, even those that may be unflattering or distinct from your personal perspective, then perhaps you should begin your research project by intentionally studying a topic about which you have strong feelings.

Kathleen Blee (2002) [1] has taken this route in her research. Blee studies groups whose racist ideologies may be different than her own. You can listen to her lecture Women in Organized Racism that details some of her findings. Her scientific research is so impactful because she was willing to report her findings and observations honestly, even those contrary to her beliefs and feelings. If you believe that you may have personal difficulty sharing findings with which you disagree, then you may want to study a different topic. Knowing your own hot-button issues is an important part of self-knowledge and reflection in social work, and there is nothing wrong with avoiding topics that are likely to cause you unnecessary stress.

Social workers often use personal experience as a starting point to identify topics of interest. As we’ve discussed here, personal experience can be a powerful motivator to learn more about a topic. However, social work researchers should be mindful of their own mental health during the research process. A social worker who has experienced a mental health crisis or traumatic event should approach researching related topics cautiously. There is no need to trigger yourself or jeopardize your mental health for a research project. For example, a student who has just experienced domestic violence may want to know about Eye Movement Desensitization and Reprocessing (EMDR) therapy. While the student might gain some knowledge about potential treatments for domestic violence, they will likely have to read through many stories and reports about domestic violence as part of the research process. Unless the student’s trauma has been processed in therapy, conducting a research project on this topic may negatively impact the student’s mental health.

What do you think about your topic?

Once you figure out what you feel about your topic, consider what you think about it. There are many ways we know what we know. Perhaps your mother told you something is so. Perhaps it came to you in a dream. Perhaps you took a class last semester and learned something about your topic there. Or you may have read something about your topic in your local newspaper. We discussed the strengths and weaknesses associated with some of these different sources of knowledge in Chapter 1 , and we’ll talk about other scientific sources of knowledge in Chapter 3 and Chapter 4 . For now, take some time to think of everything you know about your topic. Thinking about what you already know will help you identify any biases you may have, and it will help as you begin to frame a question about your topic.

You might consider creating a concept map, just to get your thoughts and ideas on paper and beginning to organize them. Consider this video from the University of Guelph Library ( CC-BY-NC-SA 4.0 ).

Key Takeaways

• You should pick a topic for your research proposal that you are interested in, since you will be working with it for several months.
• Investigate your own feelings and thoughts about a topic, and make sure you can be objective and fair in your investigation.
• Research projects are guided by a working question that develops and changes as you learn more about your topic.

Just as a reminder, exercises are designed to help you create your individual research proposal. We designed these activities to break down your proposal into small but manageable chunks. We suggest completing each exercise so you can apply what you are learning to your individual research project, as the exercises in each section and each chapter build on one another.

If you haven’t done so already, you can create a document in a word processor on your computer or in a written notebook with your answers to each exercise.

Brainstorm at least 4-5 topics of interest to you and pick the one you think is the most promising for a research project.

• For your chosen topic, outline what you currently know about the topic and your feelings towards the topic. Make sure you are able to be objective and fair in your research.
• Formulate at least one working question to guide your inquiry. It is common for topics to change and develop over the first few weeks of a project, but think of your working question as a place to start. Use the 10 examples we provided in this chapter if you need some help getting started.

2.2 Your research proposal

• Describe the stages of a research project
• Define your target population and describe how your study will impact that population
• Identify the aim of your study
• Classify your project as descriptive, exploratory, explanatory, or evaluative

Most research methods courses are designed to help students propose a research project. But what is a research project? Figure 2.1 indicates the steps of the research project. Right now, we are in the top right corner, using your informal observations from your practice experience and lived experience to form a working draft of your research question. In the next three chapters, you’ll learn how to find and evaluate scholarly literature on your topic. After thoroughly evaluating the literature, you’ll conceptualize an empirical study based on a research question you create. In many courses, students will have to carry out these designs and make a contribution to the research literature in their topic area.

The subtitle of this book is “a project-based approach” because the authors’ courses use this approach. In an introductory research methods course, students often have to create a research proposal followed by a more advanced research class in which they conduct quantitative and qualitative data analysis. The research proposal , is a document produced by researchers that reviews the literature relevant to their topic and describes the methods they will use to conduct their study. Part 1 of this textbook is designed to help you with your literature review. Parts 2-4 are designed to help you figure out which methods you will use in your study.

Parts 3 and 4 should also help you conduct the study you propose to do, analyze your data (though you will probably need additional resources for that), and share it as part of the body of social science literature on your topic. Check with your professor on whether you are required to carry out the project you propose to do in your research proposal. Some of you may only need to propose a hypothetical project. But for those of you who need to actually carry out your project from start to finish, this book is designed to help you find a reasonable and practical project for you to complete, moving through all of the steps in Figure 2.1.

A research proposal is focused on a question. Right now, this is your working question from Section 2.1. If you haven’t created one yet, this is a good time to pause and complete the exercises from section 2.1. [2] It is likely you will revise your working question many times as you read more literature about your topic. Consider yourself in the cycle between (re)creating your research question and reviewing the research literature for Part 1 of the textbook.

Student research proposals

Student research projects are a big undertaking, but they are well within your capability as a graduate student. Let’s start with the research proposal. Think about the research proposal as a communication device. You are telling the reader (your professor, usually) everything they need to know in order to understand your topic and the research study you plan to do. You are also demonstrating to the reader that you are competent and informed enough to conduct the study.

You can think of a research proposal like creating a recipe. If you are a chef trying to cook a new dish from scratch, you would probably start by looking at other recipes. You might cook a few of them and come up with ideas about how to create your own version of the dish. Writing your recipe is a process of trial and error, and you will likely revise your proposal many times over the course of the semester. This textbook and its exercises designed to get you working on your project little by little, so that by the time you turn in your final research proposal, you’ll be confident it represents the best way to answer your question. Of course, like with any time I cook, you never quite know how it will turn out. What matters for scientists in the end isn’t whether your data proves your ideas right or wrong or whether your data collection doesn’t work as planned or goes off perfectly. Instead, what matters is that you report your results (warts and all) as honestly and openly as possible to inform others engaged in scholarly inquiry.

Is writing a research proposal a useful skill for a social worker? On one hand, you probably won’t be writing research proposals for a living. But the same structure of a research proposal (literature review + methods) is used in grant applications. Writing grant proposals is often a part of practice, particularly in agency-based and policy practice. Instead of finding a gap in the literature to study, practitioners write grant proposals describing a program they will use to address an issue in their community, as well as the research methods they will use to evaluate whether it worked (see Chapter 23 for more details). Similarly, a policy advocate or public administrator might sketch out a proposed program and its evaluation as part of a proposal. Proposal writing may differ somewhat in practice, but the general idea is the same.

Focusing your project

Based on your work in Section 2.1, you should have a working question—a place to start. Think about what you hope to accomplish with your study. This is the aim of your research project. Often, social work researchers begin with a target population in mind. As you will recall from section 1.4, social work research is research for action . Social workers engage in research to help people. Think about your working question. Why do you want to answer it? What impact would answering your question have?

In my MSW program, I began my research by looking at ways to intervene with people who have substance use disorders. My foundation year placement was in an inpatient drug treatment facility that used 12-step facilitation as its primary treatment modality. I observed that this approach differed significantly from others I had been exposed to, especially the idea of powerlessness over drugs and drug use. My working question started as “what are the alternatives to 12-step treatment for people with substance use issues and are they more effective?”  The aim of my project was to determine whether different treatment approaches might be more effective, and I suspected that self-determination and powerlessness were important.

It’s important to note that my working question contained a target population —people with substance use disorders. A target population is the group of people that will benefit the most. I envisioned I would help the field of social work to think through how to better meet clients where they were at, specific to the problem of substance use. I was studying to be a clinical social worker, so naturally, I formulated a micro-level question. Yet, the question also has implications for meso- and macro-level practice. If other treatment methods are more effective than 12-step facilitation, then we should direct more public money towards providing more effective therapies for people who use substances. We may also need to train the substance use professionals to use new treatment methodologies.

Think about your working question.

• Is it more oriented towards micro-, meso-, or macro-level practice?
• What implications would answering your question have at each level of the ecosystem?

Asking yourself whether your project is more micro, meso, or macro is a good check to see if your project is well-focused. A project that seems like it could be all of those might have too many components or try to study too much. Consider identifying one ecosystemic level your project will focus on, and you can interpret and contextualize your findings at the other levels of analysis.

Exploration, description, and explanation

Social science is a big place. Looking at the various empirical studies in the literature, there is a lot of diversity—from focus groups with clients and families to multivariate statistical analysis of large population surveys conducted online. Ultimately, all of social science can be described as one of three basic types of research studies. As you develop your research question, consider which of the following types of research studies fits best with what you want to learn about your topic. In subsequent chapters, we will use these broad frameworks to help craft your study’s final research question and choose quantitative and qualitative research methods to answer it.

Exploratory research

Researchers conducting  exploratory research are typically at the early stages of examining their topics. Exploratory research projects are carried out to test the feasibility of conducting a more extensive study and to figure out the “lay of the land” with respect to the particular topic. Usually, very little prior research has been conducted on this topic. For this reason, a researcher may wish to do some exploratory work to learn what method to use in collecting data, how best to approach research subjects, or even what sorts of questions are reasonable to ask.

Often, student projects begin as exploratory research. Because students don’t know as much about the topic area yet, their working questions can be general and vague. That’s a great place to start! An exploratory question is great for delving into the literature and learning more about your topic. For example, the question “what are common social work interventions for parents who neglect their children?” is a good place to start when looking at articles and textbooks to understand what interventions are commonly used with this population. However, it is important for a student research project to progress beyond exploration unless the topic truly has very little existing research. 

In my classes, I often read papers where students say there is not a lot of literature on a topic, but a quick search of library databases shows a deep body of literature on the topic. The skills you develop in Chapter 3 and Chapter 4 should assist you with finding relevant research, and working with a librarian can definitely help with finding information for your research project. That said, there are a few students each year who pick a topic for which there is in fact little existing research. Perhaps, if you were looking at child neglect interventions for parents who identify as transgender or parents who are refugees from the Syrian civil war, less would be known about child neglect for those specific populations. In that case, an exploratory design would make sense as there is little, if any, literature about your specific topic.

Descriptive research

Another purpose of a research project is to describe or define a particular phenomenon. This is called descriptive research . For example, researchers at the Princeton Review conduct descriptive research each year when they set out to provide students and their parents with information about colleges and universities around the United States. They describe the social life at a school, the cost of admission, and student-to-faculty ratios (to name just a few of the categories reported). If our topic were child neglect, we might seek to know the number of people arrested for child neglect in our community and whether they are more likely to have other problems, such as poverty, mental health issues, or substance use.

Social workers often rely on descriptive research to tell them about their service area. Keeping track of the number of parents receiving child neglect interventions, their demographic makeup (e.g., race, sex, age), and length of time in care are excellent examples of descriptive research. On a more macro-level, the Centers for Disease Control provides a remarkable amount of descriptive research on mental and physical health conditions. In fact, descriptive research has many useful applications, and you probably rely on such findings without realizing you are reading descriptive research.

Explanatory research

Lastly, social work researchers often aim to explain why particular phenomena operate in the way that they do. Research that answers “why” questions is referred to as explanatory research . Asking “why” means the researcher is trying to identify cause-and-effect relationships in their topic. For example, explanatory research may try to identify risk and protective factors for parents who neglect their children. Explanatory research may attempt to understand how religious affiliation impacts views on immigration. All explanatory research tries to study cause-and-effect relationships between two or more variables . A specific offshoot of explanatory research that comes up often is evaluation research , which investigates the impact of an intervention, program, or policy on a group of people. Evaluation research is commonly practiced in agency-based social work settings, and Chapter 23 discusses some of the basics for conducting a program evaluation.

There are numerous examples of explanatory social scientific investigations. For example, Dominique Simons and Sandy Wurtele (2010) [3] sought to understand whether receiving corporal punishment from parents led children to turn to violence in solving their interpersonal conflicts with other children. In their study of 102 families with children between the ages of 3 and 7, the authors found that experiencing frequent spanking did in fact result in children being more likely to accept aggressive problem-solving techniques. Another example of explanatory research can be seen in Robert Faris and Diane Felmlee’s (2011) [4] research study on the connections between popularity and bullying. From their study of 8th, 9th, and 10th graders in nineteen North Carolina schools, they found that aggression increased as adolescents’ popularity increased. [5]

• Think back to your working question from section 2.1. Which type of research—exploratory, descriptive, or explanatory—best describes your working question?
• Try writing a question about your topic that fits with each type of research.

Important things are more rewarding to do

Another consideration in starting a research project is whether the question is important enough to answer. For the researcher, answering the question should be important enough to put in the effort and time required to complete a research project. As we discussed in section 2.1, you should choose a topic that is important to you—one you wouldn’t mind learning about for at least a few months, if not a few years. Time is your most precious resource as a student. Make sure you dedicate it to topics and projects you consider genuinely important.

Your research question should also be contribute to the larger expanse of research in that area. For example, if your research question is “does cognitive behavioral therapy (CBT) effectively treat depression?” you are a few decades late to be asking that question. Hundreds of scientists have published articles demonstrating its effectiveness in treating depression. However, a student interested in learning more about CBT can still find new areas to research. Perhaps there is a new population—for example, older adults in a nursing home—or a new problem—like mobile phone addiction—for which there is little research on the impact of CBT.

Your research project should contribute something new to social science. It should address a gap in what we know and what is written in the literature. This can seem intimidating for students whose projects involve learning a totally new topic. How could I add something new when other researchers have studied this for decades? Trust us, by thoroughly reviewing the existing literature, you can find new and unresolved research questions to answer. Google Scholar’s motto at the bottom of their search page is “stand on the shoulders of giants.” Social science research rests on the work of previous scholars, and builds off of what they discovered to learn more about the social world. Ensure that your question will bring our scientific understanding of your topic to new heights.

Finally, your research question should be of import to the social world. Social workers conduct research on behalf of individuals, groups, and communities to promote change as part of their mission to advance human rights and further social and economic justice. Your research should matter to the people you are trying to help. Your research project should aim to improve the lives of people in your target population by helping the world understand their needs more holistically.

Research projects, obviously, do not need to address all aspects of a problem. As social workers, our goal in enacting social justice isn’t to accomplish it all in one semester (or even one lifetime). Our goal is to move the world in the right direction and make small, incremental progress. We encourage all students to think about how they will make their work accessible and relevant to the broader public and use their results to promote change. 

• Research exists in a cycle. Your research project will follow this cycle, beginning from reading literature (where you are now), to proposing a study, to completing a research project, and finally, to publishing the results.
• Social work researchers should identify a target population and understand how their project will impact them.
• Research projects can be exploratory, descriptive, evaluative, or a combination therein. While you are likely still exploring your topic, you may settle on another type of research, particularly if your topic has been previously addressed extensively in the literature.
• Your research project should be important to you, fill a gap or address a controversy in the scientific literature, and make a difference for your target population and broader society.
• State why your working question is an important one to answer, keeping in mind that your statement should address the scientific literature, target population, and the social world.

2.3 Practical and ethical considerations

• Identify potential stakeholders and gatekeepers
• Differentiate between raw data and the results of scientific studies
• Evaluate whether you can feasibly complete your project

Are you interested in better understanding the day-to-day experiences of maximum security prisoners? This sounds fascinating, but unless you plan to commit a crime that lands you in a maximum security prison, gaining access to that particular population would be difficult for a graduate student project. While the topics about which social work questions can be asked may seem limitless, there are limits to which aspects of topics we can study or at least to the ways we can study them. This is particularly true for student research projects.

Feasibility refers to whether you can practically conduct the study you plan to do, given the resources and ethical obligations you have. In this section, we assume that you will have to actually conduct the research project that you write about in your research proposal. It’s a good time to check with your professor about your program’s expectations for student research projects. For students who do not have to carry out their projects, feasibility is less of a concern because, well, you don’t actually have to carry out your project. Instead, you’ll propose a project that could work in theory. However, for students who have to carry out the projects in their research proposals, feasibility is incredibly important. In this section, we will review the important practical and ethical considerations student researchers should start thinking about from the beginning of a research project.

Access, consent, and ethical obligations

One of the most important feasibility issues is gaining access to your target population. For example, let’s say you wanted to better understand middle-school students who engaged in self-harm behaviors. That is a topic of social importance, so why might it make for a difficult student project? Let’s say you proposed to identify students from a local middle school and interview them about self-harm. Methodologically, that sounds great since you are getting data from those with the most knowledge about the topic, the students themselves. But practically, that sounds challenging. Think about the ethical obligations a social work practitioner has to adolescents who are engaging in self-harm (e.g., competence, respect). In research, we are similarly concerned mostly with the benefits and harms of what you propose to do as well as the openness and honesty with which you share your project publicly.

Gatekeepers

If you were the principal at your local middle school, would you allow an MSW student to interview kids in your schools about self-harm? What if the results of the study showed that self-harm was a big problem that your school was not addressing? What if the researcher’s interviews themselves caused an increase in self-harming behaviors among the children? The principal in this situation is a gatekeeper . Gatekeepers are the individuals or organizations who control access to the population you want to study. The school board would also likely need to give consent for the research to take place at their institution. Gatekeepers must weigh their ethical questions because they have a responsibility to protect the safety of the people at their organization, just as you have an ethical obligation to protect the people in your research study.

For student projects, it can be a challenge to get consent from gatekeepers to conduct your research project. As a result, students often conduct research projects at their place of employment or field work, as they have established trust with gatekeepers in those locations. I’m still doubtful an MSW student interning at the middle school would be able to get consent for this study, but they probably have a better chance than a researcher with no relationship to the school. In the case where the population (children who self-harm) are too vulnerable, student researchers may collect data from people who have secondary knowledge about the topic. For example, the principal may be more willing to let you talk to teachers or staff, rather than children. I commonly see student projects that focus on studying practitioners rather than clients for this reason.

Stakeholders

In some cases, researchers and gatekeepers partner on a research project. When this happens, the gatekeepers become stakeholders . Stakeholders are individuals or groups who have an interest in the outcome of the study you conduct. As you think about your project, consider whether there are formal advisory groups or boards (like a school board) or advocacy organizations who already serve or work with your target population. Approach them as experts an ask for their review of your study to see if there are any perspectives or details you missed that would make your project stronger.

There are many advantages to partnering with stakeholders to complete a research project together. Continuing with our example on self-harm in schools, in order to obtain access to interview children at a middle school, you will have to consider other stakeholders’ goals. School administrators also want to help students struggling with self-harm, so they may want to use the results to form new programs. But they may also need to avoid scandal and panic if the results show high levels of self-harm. Most likely, they want to provide support to students without making the problem worse. By bringing in school administrators as stakeholders, you can better understand what the school is currently doing to address the issue and get an informed perspective on your project’s questions. Negotiating the boundaries of a stakeholder relationship requires strong meso-level practice skills.

Of course, partnering with administrators probably sounds quite a bit easier than bringing on board the next group of stakeholders—parents. It’s not ethical to ask children to participate in a study without their parents’ consent. We will review the parameters of parental and child consent in Chapter 5 . Parents may be understandably skeptical of a researcher who wants to talk to their child about self-harm, and they may fear potential harms to the child and family from your study. Would you let a researcher you didn’t know interview your children about a very sensitive issue?

Social work research must often satisfy multiple stakeholders. This is especially true if a researcher receives a grant to support the project, as the funder has goals it wants to accomplish by funding the research project. Your MSW program and university are also stakeholders in your project. When you conduct research, it reflects on your school. If you discover something of great importance, your school looks good. If you harm someone, they may be liable. Your university likely has opportunities for you to share your research with the campus community, and may have incentives or grant programs for student researchers. Your school also provides you with support through instruction and access to resources like the library and data analysis software.

Target population

So far, we’ve talked about access in terms of gatekeepers and stakeholders. Let’s assume all of those people agree that your study should proceed. But what about the people in the target population? They are the most important stakeholder of all! Think about the children in our proposed study on self-harm. How open do you think they would be to talking to you about such a sensitive issue? Would they consent to talk to you at all?

Maybe you are thinking about simply asking clients on your caseload. As we talked about before, leveraging existing relationships created through field work can help with accessing your target population. However, they introduce other ethical issues for researchers. Asking clients on your caseload or at your agency to participate in your project creates a dual relationship between you and your client. What if you learn something in the research project that you want to share with your clinical team? More importantly, would your client feel uncomfortable if they do not consent to your study? Social workers have power over clients, and any dual relationship would require strict supervision in the rare case it was allowed.

Resources and scope

Let’s assume everyone consented to your project and you have adequately addressed any ethical issues with gatekeepers, stakeholders, and your target population. That means everything is ready to go, right? Not quite yet. As a researcher, you will need to carry out the study you propose to do. Depending on how big or how small your proposed project is, you’ll need a little or a lot of resources. Generally, student projects should err on the side of small and simple. We will discuss the limitations of this advice in section 2.5.

One thing that all projects need is raw data . It’s extremely important to note that raw data is not just the information you read in journal articles and books. Every year, I get at least one student research proposal that simply proposes to read articles. It’s a very understandable mistake to make. Most graduate school assignments are simply to read about a topic and write a paper. A research project involves doing the same kind of research that the authors of journal articles do when they conduct quantitative or qualitative studies. Raw data can come in may forms. Very often in social science research, raw data includes the responses to a survey or transcripts of interviews and focus groups, but raw data can also include experimental results, diary entries, art, or other data points that social scientists use in analyzing the world.

As the above examples illustrate, some social work researchers do not collect raw data of their own, but instead use secondary data analysis to analyze raw data that has been shared by other researchers . One common source of raw data in student projects from their internship or employer. By looking at client charts or data from previous grant reports or program evaluations, you can use raw data already collected by your agency to answer your research question. You can also use data that was not gathered by a scientist but is publicly available. For example, you might analyze blog entries, movies, YouTube videos, songs, or other pieces of media. Whether a researcher should use secondary data or collect their own raw data is an important choice which we will discuss in greater detail in section 2.4. Nevertheless, without raw data there can be no research project. Reading the literature about your topic is only the first step in a research project.

Time is a student’s most precious resource. MSW students are overworked and underpaid, so it is important to be upfront with yourself about the time needed to answer your question. Every hour spent on your research project is not spent doing other things. Make sure that your proposal won’t require you to spend years collecting and analyzing data. Think realistically about the timeline for this research project. If you propose to interview fifty mental health professionals in their offices in your community about your topic, make sure you can dedicate fifty hours to conduct those interviews, account for travel time, and think about how long it will take to transcribe and analyze those interviews.

• What is reasonable for you to do over this semester and potentially another semester of advanced research methods?
• How many hours each week can you dedicate to this project considering what you have to do for other MSW courses, your internship and job, as well as family or social responsibilities?

In many cases, focusing your working question on something simple, specific, and clear can help avoid time issues in research projects. Another thing that can delay a research project is receiving approval from the i nstitutional review board (IRB), the research ethics committee at your university. If your study may cause harm to people who participate in it, you may have to formally propose your study to the IRB and get their approval before gathering your data. A well-prepared study is likely to gain IRB approval with minimal revisions needed, but the process can take weeks to complete and must be done before data collection can begin. We will address the ethical obligations of researchers in greater detail in Chapter 5 .

Most research projects cost some amount of money, but for student projects, most of that money is already paid. You paid for access to a university library that provides you with all of the journals, books, and other sources you might need. You paid for a computer for homework and may use your car to drive to go to class or collect your data. You paid for this class. You are not expected to spend any additional money on your student research project.

However, it is always worth looking to see if there are grant opportunities to support student research in your school or program. Often, these will cover small expenses like travel or incentives for people who participate in the study. Alternately, you could use university grant funds to travel to academic conferences to present on your findings and network with other students, practitioners, and researchers. Chapter 24 reviews academic conferences relevant to social work practice and education with a focus on the United States.

Knowledge, competence, and skills

Another student resource is knowledge. By engaging with the literature on your topic and learning the content in your research methods class, you will learn how to study your topic using social scientific research methods. The core social work value of competence is key here. Here’s an example from my work on one of my former university’s research ethics board. A student from the design department wanted to study suicide by talking to college students in a suicide prevention campus group. While meeting with the student researcher, someone on the board asked what she would do if one of the students in her study disclosed that they were currently suicidal. The researcher responded that she never considered that possibility, and that she envisioned a more “fun” discussion. We hope this example set off alarm bells for you, as it did for the review board.

Clearly, researchers need to know enough about their target population in order to conduct ethical research. Because students usually have little experience in the research world, their projects should pose fewer potential risks to participants. That means posing few, if any, questions about sensitive issues, such as trauma. A common way around this challenge is by collecting data from less vulnerable populations such as practitioners or administrators who have second-hand knowledge of target populations based on professional relationships.

Knowledge and the social work value of ethical competence go hand in hand. We see the issue of competence often in student projects if their question is about whether an intervention, for example dialectical behavioral therapy (DBT), is effective. A student would have to be certified in DBT in order to gather raw data by practicing it with clients and tracking their progress. That’s well outside the scope of practice competency for an MSW student and better suited to a licensed practitioner. It would be more ethical and feasible for a student researcher to analyze secondary data from a practitioner certified to use DBT or analyze raw data from another researcher’s study.

If your working question asks about which interventions are effective for a problem, don’t panic. Often questions about effectiveness are good places to start, but the project will have to shift in order be workable for a student. Perhaps the student would like to learn more about the cost of getting trained in DBT, which aspects of it practitioners find the most useful, whether insurance companies will reimburse for it, or other topics that require fewer resources to answer. In the process of investigating a smaller project like this, you will learn about the effectiveness of DBT by reading the scholarly literature but the actual research project will be smaller and more feasible to conduct as a student.

Another idea to keep in mind is the level of data collection and analysis skills you will gain during your MSW program. Most MSW programs will seek to give you the basics of quantitative and qualitative research. However, there are limits to what your courses will cover just as there are limits to what we could include in this textbook. If you feel your project may require specific education on data collection or analysis techniques, it’s important to reach out to your professor to see if it is feasible for you to gain that knowledge before conducting your study. For example, you may need to take an advanced statistics course or an independent study on community-engaged research in order to competently complete your project.

In summary, here are a few questions you should ask yourself about your project to make sure it’s feasible. While we present them early on in the research process (we’re only in Chapter 2), these are certainly questions you should ask yourself throughout the proposal writing process. We will revisit feasibility again in Chapter 9 when we work on finalizing your research question.

• Do you have access to the data you need or can you collect the data you need?
• Will you be able to get consent from stakeholders, gatekeepers, and your target population?
• Does your project pose risk to individuals through direct harm, dual relationships, or breaches in confidentiality?
• Are you competent enough to complete the study?
• Do you have the resources and time needed to carry out the project?
• People will have to say “yes” to your research project. Evaluate whether your project might have gatekeepers or potential stakeholders. They may control access to data or potential participants.
• Researchers need raw data such as survey responses, interview transcripts, or client charts. Your research project must involve more than looking at the analyses conducted by other researchers, as the literature review is only the first step of a research project.
• Make sure you have enough resources (time, money, and knowledge) to complete your research project during your MSW program.

Think about how you might answer your question by collecting your own data.

• Identify any gatekeepers and stakeholders you might need to contact.
• Do you think it is likely you will get access to the people or records you need for your study?

Describe any potential harm that could come to people who participate in your study.

• Would the benefits of your study outweigh the risks?

2.4 Raw data

• Identify potential sources of available data
• Weigh the challenges and benefits of collecting your own data

In our previous section, we addressed some of the challenges researchers face in collecting and analyzing raw data. Just as a reminder, raw data are unprocessed, unanalyzed data that researchers analyze using social science research methods. It is not just the statistics or qualitative themes in journal articles. It is the actual data from which those statistical outputs or themes are derived (e.g., interview transcripts or survey responses).

There are two approaches to getting raw data. First, students can analyze data that are publicly available or from agency records. Using secondary data like this can make projects more feasible, but you may not find existing data that are useful for answering your working question. For that reason, many students gather their own raw data. As we discussed in the previous section, potential harms that come from addressing sensitive topics mean that surveys and interviews of practitioners or other less-vulnerable populations may be the most feasible and ethical way to approach data collection.

Using secondary data

Within the agency setting, there are two main sources of raw data. One option is to examine client charts. For example, if you wanted to know if substance use was related to parental reunification for youth in foster care, you could look at client files and compare how long it took for families with differing levels of substance use to be reunified. You will have to negotiate with the agency the degree to which your analysis can be public. Agencies may be okay with you using client files for a class project but less comfortable with you presenting your findings at a city council meeting. When analyzing data from your agency, you will have to manage a stakeholder relationship.

Another great example from my class this year was a student who used existing program evaluations at their agency as raw data in her student research project. If you are practicing at a grant funded agency, administrators and clinicians are likely producing data for grant reporting. Your agency may consent to have you look at the raw data and run your own analysis. Larger agencies may also conduct internal research—for example, surveying employees or clients about new initiatives. These, too, can be good sources of available data. Generally, if your agency has already collected the data, you can ask to use them. Again, it is important to be clear on the boundaries and expectations of your agency. And don’t be angry if they say no!

Some agencies, usually government agencies, publish their data in formal reports. You could take a look at some of the websites for county or state agencies to see if there are any publicly available data relevant to your research topic. As an example, perhaps there are annual reports from the state department of education that show how seclusion and restraint is disproportionately applied to Black children with disabilities , as students found in Virginia. In my class last year, one student matched public data from our city’s map of criminal incidents with historically redlined neighborhoods. For this project, she is using publicly available data from Mapping Inequality , which digitized historical records of redlined housing communities and the Roanoke, VA crime mapping webpage . By matching historical data on housing redlining with current crime records, she is testing whether redlining still impacts crime to this day.

Not all public data are easily accessible, though. The student in the previous example was lucky that scholars had digitized the records of how Virginia cities were redlined by race. Sources of historical data are often located in physical archives, rather than digital archives. If your project uses historical data in an archive, it would require you to physically go to the archive in order to review the data. Unless you have a travel budget, you may be limited to the archival data in your local libraries and government offices. Similarly, government data may have to be requested from an agency, which can take time. If the data are particularly sensitive or if the department would have to dedicate a lot of time to your request, you may have to file a Freedom of Information Act request. This process can be time-consuming, and in some cases, it will add financial cost to your study.

Another source of secondary data is shared by researchers as part of the publication and review process. There is a growing trend in research to publicly share data so others can verify your results and attempt to replicate your study. In more recent articles, you may notice links to data provided by the researcher. Often, these have been de-identified by eliminating some information that could lead to violations of confidentiality. You can browse through the data repositories in Table 2.1 to find raw data to analyze. Make sure that you pick a data set with thorough and easy to understand documentation. You may also want to use Google’s dataset search which indexes some of the websites below as well as others in a very intuitive and easy to use way.

Ultimately, you will have to weigh the strengths and limitations of using secondary data on your own. Engel and Schutt (2016, p. 327) [6] propose six questions to ask before using secondary data:

• What were the agency’s or researcher’s goals in collecting the data?
• What data were collected, and what were they intended to measure?
• When was the information collected?
• What methods were used for data collection? Who was responsible for data collection, and what were their qualifications? Are they available to answer questions about the data?
• How is the information organized (by date, individual, family, event, etc.)? Are identifiers used to indicate different types of data available?
• What is known about the success of the data collection effort? How are missing data indicated and treated? What kind of documentation is available? How consistent are the data with data available from other sources?

In this section, we’ve talked about data as though it is always collected by scientists and professionals. But that’s definitely not the case! Think more broadly about sources of data that are already out there in the world. Perhaps you want to examine the different topics mentioned in the past 10 State of the Union addresses by the President. One of my students this past semester is examining whether the websites and public information about local health and mental health agencies use gender-inclusive language. People share their experiences through blogs, social media posts, videos, performances, among countless other sources of data. When you think broadly about data, you’ll be surprised how much you can answer with available data.

Collecting your own raw data

The primary benefit of collecting your own data is that it allows you to collect and analyze the specific data you are looking for, rather than relying on what other people have shared. You can make sure the right questions are asked to the right people. For a student project, data collection is going to look a little different than what you read in most journal articles. Established researchers probably have access to more resources than you do, and as a result, are able to conduct more complicated studies. Student projects tend to be smaller in scope. This isn’t necessarily a limitation. Student projects are often the first step in a long research trajectory in which the same topic is studied in increasing detail and sophistication over time.

Students in my class often propose to survey or interview practitioners. The focus of these projects should be about the practice of social work and the study will uncover how practitioners understand what they do. Surveys of practitioners often test whether responses to questions are related to each other. For example, you could propose to examine whether someone’s length of time in practice was related to the type of therapy they use or their level of burnout. Interviews or focus groups can also illuminate areas of practice. A student in my class proposed to conduct focus groups of individuals in different helping professions in order to understand how they viewed the process of leaving an abusive partner. She suspected that people from different disciplines would make unique assumptions about the survivor’s choices.

It’s worth remembering here that you need to have access to practitioners, as we discussed in the previous section. Resourceful students will look at publicly available databases of practitioners, draw from agency and personal contacts, or post in public forums like Facebook groups. Consent from gatekeepers is important, and as we described earlier, you and your agency may be interested in collaborating on a project. Bringing your agency on board as a stakeholder in your project may allow you access to company email lists or time at staff meetings as well as access to practitioners. One of our students last year partnered with her internship placement at a local hospital to measure the burnout of that nurses experienced in their department. Her project helped the agency identify which departments may need additional support.

Another possible way you could collect data is by partnering with your agency on evaluating an existing program. Perhaps they want you to evaluate the early stage of a program to see if it’s going as planned and if any changes need to be made. Maybe there is an aspect of the program they haven’t measured but would like to, and you can fill that gap for them. Collaborating with agency partners in this way can be a challenge, as you must negotiate roles, get stakeholder buy-in, and manage the conflicting time schedules of field work and research work. At the same time, it allows you to make your work immediately relevant to your specific practice and client population.

In summary, many student projects fall into one of the following categories. These aren’t your only options! But they may be helpful in thinking about what students projects can look like.

• Analyzing chart or program evaluations at an agency
• Analyzing existing data from an agency, government body, or other public source
• Analyzing popular media or cultural artifacts
• Surveying or interviewing practitioners, administrators, or other less-vulnerable groups
• Conducting a program evaluation in collaboration with an agency
• All research projects require analyzing raw data.
• Student projects often analyze available data from agencies, government, or public sources. Doing so allows students to avoid the process of recruiting people to participate in their study. This makes projects more feasible but limits what you can study to the data that are already available to you.
• Student projects should avoid potentially harmful or sensitive topics when surveying or interviewing clients and other vulnerable populations. Since many social work topics are sensitive, students often collect data from less-vulnerable populations such as practitioners and administrators.
• Describe the difference between raw data and the results of research articles.
• Consider browsing around the data repositories in Table 2.1.
• Identify one of the common types of student projects (e.g., surveys of practitioners) and how conducting a similar project might help you answer your working question.

2.5 Critical considerations

• Critique the traditional role of researchers and identify how action research addresses these issues

So far in this chapter, we have presented the steps of student research projects as follows:

• Find a topic that is important to you and read about it.
• Pose a question that is important to the literature and to your community.
• Propose to use specific research methods to answer your question.
• Carry out your project and report the results.

These were depicted in Figure 2.1 earlier in this chapter. There are important limitations to this approach. This section examines those problems and how to address them.

Whose knowledge is privileged?

First, let’s critically examine your role as the researcher. Following along with the steps in a research project, you start studying the literature your topic, find a place where you can add to scientific knowledge, and conduct your study. But why are you the person who gets to decide what is important? Just as clients are the experts on their lives, members of your target population are the experts on their lives. What does it mean for a group of people to be researched on, rather than researched with? How can we better respect the knowledge and self-determination of community members?

A different way of approaching your research project is to start by talking with members of the target population and those who are knowledgeable about that community. Perhaps there is a community-led organization you can partner with on a research project. The researcher’s role in this case would be more similar to a consultant, someone with specialized knowledge about research who can help communities study problems they consider to be important. The social worker is a co-investigator, and community members are equal partners in the research project. Each has a type of knowledge—scientific expertise vs. lived experience—that should inform the research process.

The community focus highlights something important about student projects: they are localized. Student projects can dedicate themselves to issues at a single agency or within a service area. With a local scope, student researchers can bring about change in their community. This is the purpose behind action research.

Action research

Action research   is research that is conducted for the purpose of creating social change. When engaging in action research, scholars collaborate with community stakeholders to conduct research that will be relevant to the community. Social workers who engage in action research don’t just go it alone; instead, they collaborate with the people who are affected by the research at each stage in the process. Stakeholders, particularly those with the least power, should be consulted on the purpose of the research project, research questions, design, and reporting of results.

Action research also distinguishes itself from other research in that its purpose is to create change on an individual and community level. Kristin Esterberg puts it quite eloquently when she says, “At heart, all action researchers are concerned that research not simply contribute to knowledge but also lead to positive changes in people’s lives” (2002, p. 137). [7] Action research has multiple origins across the globe, including Kurt Lewin’s psychological experiments in the US and Paulo Friere’s literacy and education programs (Adelman, 1993; Reason, 1994). [8] Over the years, action research has become increasingly popular among scholars who wish for their work to have tangible outcomes that benefit the groups they study.

A traditional scientist might look at the literature or use their practice wisdom to formulate a question for quantitative or qualitative research, as we suggested earlier in this chapter. An action researcher, on the other hand, would consult with people in target population and community to see what they believe the most pressing issues are and what their proposed solutions may be. In this way, action research flips traditional research on its head. Scientists are not the experts on the research topic. Instead, they are more like consultants who provide the tools and resources necessary for a target population to achieve their goals and to address social problems using social science research.

According to Healy (2001), [9] the assumptions of participatory-action research are that (a) oppression is caused by macro-level structures such as patriarchy and capitalism; (b) research should expose and confront the powerful; (c) researcher and participant relationships should be equal, with equitable distribution of research tasks and roles; and (d) research should result in consciousness-raising and collective action. Consistent with social work values, action research supports the self-determination of oppressed groups and privileges their voice and understanding through the conceptualization, design, data collection, data analysis, and dissemination processes of research. We will return to similar ideas in Part 4 of the textbook when we discuss qualitative research methods, though action research can certainly be used with quantitative research methods, as well.

Student projects can make a difference!

One last thing. We’ve told you all to think small and simple with your projects. The adage that “a good project is a done project” is true. At the same time, this advice might unnecessarily limit an ambitious and diligent student who wanted to investigate something more complex. For example, here is a Vice News article about MSW student Christine Stark’s work on sex trafficking of indigenous women. Student projects have the potential to address sensitive and politically charged topics. With support from faculty and community partners, student projects can become more comprehensive. The results of your project should accomplish something. Social work research is about creating change, and you will find the work of completing a research project more rewarding and engaging if you can envision the change your project will create.

In addition to broader community and agency impacts, student research projects can have an impact on a university or academic program. Consider this resource on how to research your institution by Rine Vieth. As a student, you are one of the groups on campus with the least power (others include custodial staff, administrative staff, contingent and adjunct faculty). It is often necessary that you organize within your cohort of MSW students for change within the program. Not only is it an excellent learning opportunity to practice your advocacy skills, you can use raw data that is publicly available (such as those linked in the guide) or create your own raw data to inform change. The collaborative and transformative focus of student research projects like these can be impactful learning experiences, and students should consider projects that will lead to some small change in both themselves and their communities.

• Traditionally, researchers did not consult target populations and communities prior to formulating a research question. Action research proposes a more community-engaged model in which researchers are consultants that help communities research topics of import to them.
• Just because we’ve advised you to keep your project simple and small doesn’t mean you must do so! There are excellent examples of student research projects that have created real change in the world.
• Apply the key concepts of action research to your project. How might you incorporate the perspectives and expertise of community members in your project.

Media Attributions

• A-Simple-Model-of-Scientific-Research-in-Psychology © Rajiv S. Jhangiani, I-Chant A. Chiang, Carrie Cuttler, & Dana C. Leighton is licensed under a CC BY-NC-SA (Attribution NonCommercial ShareAlike) license
• andrew-neel-z55CR_d0ayg-unsplash © Andrew Neel is licensed under a CC0 (Creative Commons Zero) license
• meric-dagli-kq6undvTxWE-unsplash © Meric Dagli is licensed under a CC0 (Creative Commons Zero) license
• jeshoots-com–2vD8lIhdnw-unsplash © JESHOOTS.com is licensed under a CC0 (Creative Commons Zero) license
• my-life-through-a-lens-bq31L0jQAjU-unsplash © My Life Through A Lens
• Blee, K. (2002).  Inside organized racism: Women and men of the hate movement . Berkeley, CA: University of California Press; Blee, K. (1991).  Women of the Klan: Racism and gender in the 1920s . Berkeley, CA: University of California Press. ↵
• The exercises we created for this textbook are designed to break down the research proposal into bite-sized chunks. Completing the exercises as you read the textbook helps you apply the knowledge you've gained right away and remember what you thought about concepts you read about a few weeks ago. ↵
• Simons, D. A., & Wurtele, S. K. (2010). Relationships between parents’ use of corporal punishment and their children’s endorsement of spanking and hitting other children. Child Abuse & Neglect, 34 , 639–646. ↵
• Faris, R., & Felmlee, D. (2011). Status struggles: Network centrality and gender segregation in same- and cross-gender aggression. American Sociological Review, 76 , 48–73. The study has also been covered by several media outlets: Pappas, S. (2011). Popularity increases aggression in kids, study finds. Retrieved from:  http://www.livescience.com/11737-popularity-increases-aggression-kids-study-finds.html ↵
• This pattern was found until adolescents reached the top 2% in the popularity ranks. After that, aggression declined. ↵
• Engel, R. J. & Schutt, R. K. (2016). The practice of research in social work (4th ed.). Washington, DC: SAGE Publishing. ↵
• Esterberg, K. G. (2002).  Qualitative methods in social research . Boston, MA: McGraw-Hill. ↵
• Adelman, C. (1993). Kurt Lewin and the origins of action research.  Educational Action Research, 1,  7-24.; Reason, P. (1994).  Participation in human inquiry . London, UK: Sage. ↵
• Healy, K. (2001). Participatory action research and social work: A critical appraisal.  International Social Work, 44 , 93-105. ↵

a nonlinear process in which the original product is revised over and over again to improve it

a document produced by researchers that reviews the literature relevant to their topic and describes the methods they will use to conduct their study

what a researcher hopes to accomplish with their study

the group of people whose needs your study addresses

conducted during the early stages of a project, usually when a researcher wants to test the feasibility of conducting a more extensive study or if the topic has not been studied in the past

research that describes or defines a particular phenomenon

explains why particular phenomena work in the way that they do; answers “why” questions

“a logical grouping of attributes that can be observed and measured and is expected to vary from person to person in a population” (Gillespie & Wagner, 2018, p. 9)

research that evaluates the outcomes of a policy or program

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

whether you can actually reach people or documents needed to complete your project

the people or organizations who control access to the population you want to study

A process through which the researcher explains the research process, procedures, risks and benefits to a potential participant, usually through a written document, which the participant than signs, as evidence of their agreement to participate.

individuals or groups who have an interest in the outcome of the study you conduct

unprocessed data that researchers can analyze using quantitative and qualitative methods (e.g., responses to a survey or interview transcripts)

study publicly available information or data that has been collected by another person

an administrative body established to protect the rights and welfare of human research subjects recruited to participate in research activities conducted under the auspices of the institution with which it is affiliated

research that is conducted for the purpose of creating social change

Graduate research methods in social work 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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The Practice of Research in Social Work

Student resources, welcome to the companion website.

Welcome to the SAGE edge site for The Practice of Research in Social Work, Fourth Edition .

The SAGE edge site for The Practice of Research in Social Work by Rafael J. Engel and Russell K. Schutt offers a robust online environment you can access anytime, anywhere, and features an impressive array of free tools and resources to keep you on the cutting edge of your learning experience.

The  Fourth Edition  of  The Practice of Research in Social Work  introduces an integrated set of techniques for evaluating research and practice problems as well as conducting studies. Evidence-based practice comes alive through illustrations of actual social work research. Updated with new examples, the latest research, and expanded material on technology and qualitative methods, this popular text helps readers achieve the 2015 EPAS core competencies essential for social work practice.

Acknowledgements

We gratefully acknowledge Rafael J. Engel and Russell K. Schutt for writing an excellent text. Special thanks are also due to Samantha Levinson of Carnegie Mellon University – H. John Heinz III College for developing the ancillaries on this site.

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Research methods in social work

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1.2: Research Methods in Social Psychology

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• https://nobaproject.com/ via The Noba Project

Kwantlen Polytechnic University

Social psychologists are interested in the ways that other people affect thought, emotion, and behavior. To explore these concepts requires special research methods. Following a brief overview of traditional research designs, this module introduces how complex experimental designs, field experiments, naturalistic observation, experience sampling techniques, survey research, subtle and nonconscious techniques such as priming, and archival research and the use of big data may each be adapted to address social psychological questions. This module also discusses the importance of obtaining a representative sample along with some ethical considerations that social psychologists face.

learning objectives

• Describe the key features of basic and complex experimental designs.
• Describe the key features of field experiments, naturalistic observation, and experience sampling techniques.
• Describe survey research and explain the importance of obtaining a representative sample.
• Describe the implicit association test and the use of priming.
• Describe use of archival research techniques.
• Explain five principles of ethical research that most concern social psychologists.

Introduction

Are you passionate about cycling? Norman Triplett certainly was. At the turn of last century he studied the lap times of cycling races and noticed a striking fact: riding in competitive races appeared to improve riders’ times by about 20-30 seconds every mile compared to when they rode the same courses alone. Triplett suspected that the riders’ enhanced performance could not be explained simply by the slipstream caused by other cyclists blocking the wind. To test his hunch, he designed what is widely described as the first experimental study in social psychology (published in 1898!)—in this case, having children reel in a length of fishing line as fast as they could. The children were tested alone, then again when paired with another child. The results? The children who performed the task in the presence of others out-reeled those that did so alone.

Although Triplett’s research fell short of contemporary standards of scientific rigor (e.g., he eyeballed the data instead of measuring performance precisely; Stroebe, 2012), we now know that this effect, referred to as “ social facilitation ,” is reliable—performance on simple or well-rehearsed tasks tends to be enhanced when we are in the presence of others (even when we are not competing against them). To put it another way, the next time you think about showing off your pool-playing skills on a date, the odds are you’ll play better than when you practice by yourself. (If you haven’t practiced, maybe you should watch a movie instead!)

Research Methods in Social Psychology

One of the things Triplett’s early experiment illustrated is scientists’ reliance on systematic observation over opinion, or anecdotal evidence . The scientific method usually begins with observing the world around us (e.g., results of cycling competitions) and thinking of an interesting question (e.g., Why do cyclists perform better in groups?). The next step involves generating a specific testable prediction, or hypothesis (e.g., performance on simple tasks is enhanced in the presence of others). Next, scientists must operationalize the variables they are studying. This means they must figure out a way to define and measure abstract concepts. For example, the phrase “perform better” could mean different things in different situations; in Triplett’s experiment it referred to the amount of time (measured with a stopwatch) it took to wind a fishing reel. Similarly, “in the presence of others” in this case was operationalized as another child winding a fishing reel at the same time in the same room. Creating specific operational definitions like this allows scientists to precisely manipulate the independent variable , or “cause” (the presence of others), and to measure the dependent variable , or “effect” (performance)—in other words, to collect data. Clearly described operational definitions also help reveal possible limitations to studies (e.g., Triplett’s study did not investigate the impact of another child in the room who was not also winding a fishing reel) and help later researchers replicate them precisely.

Laboratory Research

As you can see, social psychologists have always relied on carefully designed laboratory environments to run experiments where they can closely control situations and manipulate variables (see the NOBA module on Research Designs for an overview of traditional methods). However, in the decades since Triplett discovered social facilitation, a wide range of methods and techniques have been devised, uniquely suited to demystifying the mechanics of how we relate to and influence one another. This module provides an introduction to the use of complex laboratory experiments, field experiments, naturalistic observation, survey research, nonconscious techniques, and archival research, as well as more recent methods that harness the power of technology and large data sets, to study the broad range of topics that fall within the domain of social psychology. At the end of this module we will also consider some of the key ethical principles that govern research in this diverse field.

The use of complex experimental designs , with multiple independent and/or dependent variables, has grown increasingly popular because they permit researchers to study both the individual and joint effects of several factors on a range of related situations. Moreover, thanks to technological advancements and the growth of social neuroscience , an increasing number of researchers now integrate biological markers (e.g., hormones) or use neuroimaging techniques (e.g., fMRI) in their research designs to better understand the biological mechanisms that underlie social processes.

We can dissect the fascinating research of Dov Cohen and his colleagues (1996) on “culture of honor” to provide insights into complex lab studies. A culture of honor is one that emphasizes personal or family reputation. In a series of lab studies, the Cohen research team invited dozens of university students into the lab to see how they responded to aggression. Half were from the Southern United States (a culture of honor) and half were from the Northern United States (not a culture of honor; this type of setup constitutes a participant variable of two levels). Region of origin was independent variable #1. Participants also provided a saliva sample immediately upon arriving at the lab; (they were given a cover story about how their blood sugar levels would be monitored over a series of tasks).

The participants completed a brief questionnaire and were then sent down a narrow corridor to drop it off on a table. En route, they encountered a confederate at an open file cabinet who pushed the drawer in to let them pass. When the participant returned a few seconds later, the confederate, who had re-opened the file drawer, slammed it shut and bumped into the participant with his shoulder, muttering “asshole” before walking away. In a manipulation of an independent variable—in this case, the insult—some of the participants were insulted publicly (in view of two other confederates pretending to be doing homework) while others were insulted privately (no one else was around). In a third condition—the control group—participants experienced a modified procedure in which they were not insulted at all.

Although this is a fairly elaborate procedure on its face, what is particularly impressive is the number of dependent variables the researchers were able to measure. First, in the public insult condition, the two additional confederates (who observed the interaction, pretending to do homework) rated the participants’ emotional reaction (e.g., anger, amusement, etc.) to being bumped into and insulted. Second, upon returning to the lab, participants in all three conditions were told they would later undergo electric shocks as part of a stress test, and were asked how much of a shock they would be willing to receive (between 10 volts and 250 volts). This decision was made in front of two confederates who had already chosen shock levels of 75 and 25 volts, presumably providing an opportunity for participants to publicly demonstrate their toughness. Third, across all conditions, the participants rated the likelihood of a variety of ambiguously provocative scenarios (e.g., one driver cutting another driver off) escalating into a fight or verbal argument. And fourth, in one of the studies, participants provided saliva samples, one right after returning to the lab, and a final one after completing the questionnaire with the ambiguous scenarios. Later, all three saliva samples were tested for levels of cortisol (a hormone associated with stress) and testosterone (a hormone associated with aggression).

The results showed that people from the Northern United States were far more likely to laugh off the incident (only 35% having anger ratings as high as or higher than amusement ratings), whereas the opposite was true for people from the South (85% of whom had anger ratings as high as or higher than amusement ratings). Also, only those from the South experienced significant increases in cortisol and testosterone following the insult (with no difference between the public and private insult conditions). Finally, no regional differences emerged in the interpretation of the ambiguous scenarios; however, the participants from the South were more likely to choose to receive a greater shock in the presence of the two confederates.

Field Research

Because social psychology is primarily focused on the social context—groups, families, cultures—researchers commonly leave the laboratory to collect data on life as it is actually lived. To do so, they use a variation of the laboratory experiment, called a field experiment . A field experiment is similar to a lab experiment except it uses real-world situations, such as people shopping at a grocery store. One of the major differences between field experiments and laboratory experiments is that the people in field experiments do not know they are participating in research, so—in theory—they will act more naturally. In a classic example from 1972, Alice Isen and Paula Levin wanted to explore the ways emotions affect helping behavior. To investigate this they observed the behavior of people at pay phones (I know! Pay phones! ). Half of the unsuspecting participants (determined by random assignment ) found a dime planted by researchers (I know! A dime! ) in the coin slot, while the other half did not. Presumably, finding a dime felt surprising and lucky and gave people a small jolt of happiness. Immediately after the unsuspecting participant left the phone booth, a confederate walked by and dropped a stack of papers. Almost 100% of those who found a dime helped to pick up the papers. And what about those who didn’t find a dime? Only 1 out 25 of them bothered to help.

In cases where it’s not practical or ethical to randomly assign participants to different experimental conditions, we can use naturalistic observation —unobtrusively watching people as they go about their lives. Consider, for example, a classic demonstration of the “ basking in reflected glory ” phenomenon: Robert Cialdini and his colleagues used naturalistic observation at seven universities to confirm that students are significantly more likely to wear clothing bearing the school name or logo on days following wins (vs. draws or losses) by the school’s varsity football team (Cialdini et al., 1976). In another study, by Jenny Radesky and her colleagues (2014), 40 out of 55 observations of caregivers eating at fast food restaurants with children involved a caregiver using a mobile device. The researchers also noted that caregivers who were most absorbed in their device tended to ignore the children’s behavior, followed by scolding, issuing repeated instructions, or using physical responses, such as kicking the children’s feet or pushing away their hands.

A group of techniques collectively referred to as experience sampling methods represent yet another way of conducting naturalistic observation, often by harnessing the power of technology. In some cases, participants are notified several times during the day by a pager, wristwatch, or a smartphone app to record data (e.g., by responding to a brief survey or scale on their smartphone, or in a diary). For example, in a study by Reed Larson and his colleagues (1994), mothers and fathers carried pagers for one week and reported their emotional states when beeped at random times during their daily activities at work or at home. The results showed that mothers reported experiencing more positive emotional states when away from home (including at work), whereas fathers showed the reverse pattern. A more recently developed technique, known as the electronically activated recorder , or EAR, does not even require participants to stop what they are doing to record their thoughts or feelings; instead, a small portable audio recorder or smartphone app is used to automatically record brief snippets of participants’ conversations throughout the day for later coding and analysis. For a more in-depth description of the EAR technique and other experience-sampling methods, see the NOBA module on Conducting Psychology Research in the Real World.

Survey Research

In this diverse world, survey research offers itself as an invaluable tool for social psychologists to study individual and group differences in people’s feelings, attitudes, or behaviors. For example, the World Values Survey II was based on large representative samples of 19 countries and allowed researchers to determine that the relationship between income and subjective well-being was stronger in poorer countries (Diener & Oishi, 2000). In other words, an increase in income has a much larger impact on your life satisfaction if you live in Nigeria than if you live in Canada. In another example, a nationally-representative survey in Germany with 16,000 respondents revealed that holding cynical beliefs is related to lower income (e.g., between 2003-2012 the income of the least cynical individuals increased by $300 per month, whereas the income of the most cynical individuals did not increase at all). Furthermore, survey data collected from 41 countries revealed that this negative correlation between cynicism and income is especially strong in countries where people in general engage in more altruistic behavior and tend not to be very cynical (Stavrova & Ehlebracht, 2016).

Of course, obtaining large, cross-cultural, and representative samples has become far easier since the advent of the internet and the proliferation of web-based survey platforms—such as Qualtrics—and participant recruitment platforms—such as Amazon’s Mechanical Turk. And although some researchers harbor doubts about the representativeness of online samples, studies have shown that internet samples are in many ways more diverse and representative than samples recruited from human subject pools (e.g., with respect to gender; Gosling et al., 2004). Online samples also compare favorably with traditional samples on attentiveness while completing the survey, reliability of data, and proportion of non-respondents (Paolacci et al., 2010).

Subtle/Nonconscious Research Methods

The methods we have considered thus far—field experiments, naturalistic observation, and surveys—work well when the thoughts, feelings, or behaviors being investigated are conscious and directly or indirectly observable. However, social psychologists often wish to measure or manipulate elements that are involuntary or nonconscious, such as when studying prejudicial attitudes people may be unaware of or embarrassed by. A good example of a technique that was developed to measure people’s nonconscious (and often ugly) attitudes is known as the implicit association test (IAT) (Greenwald et al., 1998). This computer-based task requires participants to sort a series of stimuli (as rapidly and accurately as possible) into simple and combined categories while their reaction time is measured (in milliseconds). For example, an IAT might begin with participants sorting the names of relatives (such as “Niece” or “Grandfather”) into the categories “Male” and “Female,” followed by a round of sorting the names of disciplines (such as “Chemistry” or “English”) into the categories “Arts” and “Science.” A third round might combine the earlier two by requiring participants to sort stimuli into either “Male or Science” or “Female and Arts” before the fourth round switches the combinations to “Female or Science” and “Male and Arts.” If across all of the trials a person is quicker at accurately sorting incoming stimuli into the compound category “Male or Science” than into “Female or Science,” the authors of the IAT suggest that the participant likely has a stronger association between males and science than between females and science. Incredibly, this specific gender-science IAT has been completed by more than half a million participants across 34 countries, about 70% of whom show an implicit stereotype associating science with males more than with females (Nosek et al., 2009). What’s more, when the data are grouped by country, national differences in implicit stereotypes predict national differences in the achievement gap between boys and girls in science and math. Our automatic associations, apparently, carry serious societal consequences.

Another nonconscious technique, known as priming , is often used to subtly manipulate behavior by activating or making more accessible certain concepts or beliefs. Consider the fascinating example of terror management theory (TMT) , whose authors believe that human beings are (unconsciously) terrified of their mortality (i.e., the fact that, some day, we will all die; Pyszczynski et al., 2003). According to TMT, in order to cope with this unpleasant reality (and the possibility that our lives are ultimately essentially meaningless), we cling firmly to systems of cultural and religious beliefs that give our lives meaning and purpose. If this hypothesis is correct, one straightforward prediction would be that people should cling even more firmly to their cultural beliefs when they are subtly reminded of their own mortality.

In one of the earliest tests of this hypothesis, actual municipal court judges in Arizona were asked to set a bond for an alleged prostitute immediately after completing a brief questionnaire. For half of the judges the questionnaire ended with questions about their thoughts and feelings regarding the prospect of their own death. Incredibly, judges in the experimental group that were primed with thoughts about their mortality set a significantly higher bond than those in the control group ($455 vs. $50!)—presumably because they were especially motivated to defend their belief system in the face of a violation of the law (Rosenblatt et al., 1989). Although the judges consciously completed the survey, what makes this a study of priming is that the second task (sentencing) was unrelated, so any influence of the survey on their later judgments would have been nonconscious. Similar results have been found in TMT studies in which participants were primed to think about death even more subtly, such as by having them complete questionnaires just before or after they passed a funeral home (Pyszczynski et al., 1996).

To verify that the subtle manipulation (e.g., questions about one’s death) has the intended effect (activating death-related thoughts), priming studies like these often include a manipulation check following the introduction of a prime. For example, right after being primed, participants in a TMT study might be given a word fragment task in which they have to complete words such as COFF_ _ or SK _ _ L. As you might imagine, participants in the mortality-primed experimental group typically complete these fragments as COFFIN and SKULL, whereas participants in the control group complete them as COFFEE and SKILL.

The use of priming to unwittingly influence behavior, known as social or behavioral priming (Ferguson & Mann, 2014), has been at the center of the recent “replication crisis” in Psychology (see the NOBA module on replication). Whereas earlier studies showed, for example, that priming people to think about old age makes them walk slower (Bargh, Chen, & Burrows, 1996), that priming them to think about a university professor boosts performance on a trivia game (Dijksterhuis & van Knippenberg, 1998), and that reminding them of mating motives (e.g., sex) makes them more willing to engage in risky behavior (Greitemeyer, Kastenmüller, & Fischer, 2013), several recent efforts to replicate these findings have failed (e.g., Harris et al., 2013; Shanks et al., 2013). Such failures to replicate findings highlight the need to ensure that both the original studies and replications are carefully designed, have adequate sample sizes, and that researchers pre-register their hypotheses and openly share their results—whether these support the initial hypothesis or not.

Archival Research

Imagine that a researcher wants to investigate how the presence of passengers in a car affects drivers’ performance. She could ask research participants to respond to questions about their own driving habits. Alternately, she might be able to access police records of the number of speeding tickets issued by automatic camera devices, then count the number of solo drivers versus those with passengers. This would be an example of archival research . The examination of archives, statistics, and other records such as speeches, letters, or even tweets, provides yet another window into social psychology. Although this method is typically used as a type of correlational research design—due to the lack of control over the relevant variables—archival research shares the higher ecological validity of naturalistic observation. That is, the observations are conducted outside the laboratory and represent real world behaviors. Moreover, because the archives being examined can be collected at any time and from many sources, this technique is especially flexible and often involves less expenditure of time and other resources during data collection.

Social psychologists have used archival research to test a wide variety of hypotheses using real-world data. For example, analyses of major league baseball games played during the 1986, 1987, and 1988 seasons showed that baseball pitchers were more likely to hit batters with a pitch on hot days (Reifman et al., 1991). Another study compared records of race-based lynching in the United States between 1882-1930 to the inflation-adjusted price of cotton during that time (a key indicator of the Deep South’s economic health), demonstrating a significant negative correlation between these variables. Simply put, there were significantly more lynchings when the price of cotton stayed flat, and fewer lynchings when the price of cotton rose (Beck & Tolnay, 1990; Hovland & Sears, 1940). This suggests that race-based violence is associated with the health of the economy.

More recently, analyses of social media posts have provided social psychologists with extremely large sets of data (“ big data ”) to test creative hypotheses. In an example of research on attitudes about vaccinations, Mitra and her colleagues (2016) collected over 3 million tweets sent by more than 32 thousand users over four years. Interestingly, they found that those who held (and tweeted) anti-vaccination attitudes were also more likely to tweet about their mistrust of government and beliefs in government conspiracies. Similarly, Eichstaedt and his colleagues (2015) used the language of 826 million tweets to predict community-level mortality rates from heart disease. That’s right: more anger-related words and fewer positive-emotion words in tweets predicted higher rates of heart disease.

In a more controversial example, researchers at Facebook attempted to test whether emotional contagion—the transfer of emotional states from one person to another—would occur if Facebook manipulated the content that showed up in its users’ News Feed (Kramer et al., 2014). And it did. When friends’ posts with positive expressions were concealed, users wrote slightly fewer positive posts (e.g., “Loving my new phone!”). Conversely, when posts with negative expressions were hidden, users wrote slightly fewer negative posts (e.g., “Got to go to work. Ugh.”). This suggests that people’s positivity or negativity can impact their social circles.

The controversial part of this study—which included 689,003 Facebook users and involved the analysis of over 3 million posts made over just one week—was the fact that Facebook did not explicitly request permission from users to participate. Instead, Facebook relied on the fine print in their data-use policy. And, although academic researchers who collaborated with Facebook on this study applied for ethical approval from their institutional review board (IRB), they apparently only did so after data collection was complete, raising further questions about the ethicality of the study and highlighting concerns about the ability of large, profit-driven corporations to subtly manipulate people’s social lives and choices.

Research Issues in Social Psychology

The question of representativeness.

Along with our counterparts in the other areas of psychology, social psychologists have been guilty of largely recruiting samples of convenience from the thin slice of humanity—students—found at universities and colleges (Sears, 1986). This presents a problem when trying to assess the social mechanics of the public at large. Aside from being an overrepresentation of young, middle-class Caucasians, college students may also be more compliant and more susceptible to attitude change, have less stable personality traits and interpersonal relationships, and possess stronger cognitive skills than samples reflecting a wider range of age and experience (Peterson & Merunka, 2014; Visser, Krosnick, & Lavrakas, 2000). Put simply, these traditional samples (college students) may not be sufficiently representative of the broader population. Furthermore, considering that 96% of participants in psychology studies come from western, educated, industrialized, rich, and democratic countries (so-called WEIRD cultures ; Henrich, Heine, & Norenzayan, 2010), and that the majority of these are also psychology students , the question of non-representativeness becomes even more serious.

Of course, when studying a basic cognitive process (like working memory capacity) or an aspect of social behavior that appears to be fairly universal (e.g., even cockroaches exhibit social facilitation!), a non-representative sample may not be a big deal. However, over time research has repeatedly demonstrated the important role that individual differences (e.g., personality traits, cognitive abilities, etc.) and culture (e.g., individualism vs. collectivism) play in shaping social behavior. For instance, even if we only consider a tiny sample of research on aggression, we know that narcissists are more likely to respond to criticism with aggression (Bushman & Baumeister, 1998); conservatives, who have a low tolerance for uncertainty, are more likely to prefer aggressive actions against those considered to be “outsiders” (de Zavala et al., 2010); countries where men hold the bulk of power in society have higher rates of physical aggression directed against female partners (Archer, 2006); and males from the southern part of the United States are more likely to react with aggression following an insult (Cohen et al., 1996).

Ethics in Social Psychological Research

For better or worse (but probably for worse), when we think about the most unethical studies in psychology, we think about social psychology. Imagine, for example, encouraging people to deliver what they believe to be a dangerous electric shock to a stranger (with bloodcurdling screams for added effect!). This is considered a “classic” study in social psychology. Or, how about having students play the role of prison guards, deliberately and sadistically abusing other students in the role of prison inmates. Yep, social psychology too. Of course, both Stanley Milgram’s (1963) experiments on obedience to authority and the Stanford prison study (Haney et al., 1973) would be considered unethical by today’s standards, which have progressed with our understanding of the field. Today, we follow a series of guidelines and receive prior approval from our institutional research boards before beginning such experiments. Among the most important principles are the following:

• Informed consent: In general, people should know when they are involved in research, and understand what will happen to them during the study (at least in general terms that do not give away the hypothesis). They are then given the choice to participate, along with the freedom to withdraw from the study at any time. This is precisely why the Facebook emotional contagion study discussed earlier is considered ethically questionable. Still, it’s important to note that certain kinds of methods—such as naturalistic observation in public spaces, or archival research based on public records—do not require obtaining informed consent.
• Privacy: Although it is permissible to observe people’s actions in public—even without them knowing—researchers cannot violate their privacy by observing them in restrooms or other private spaces without their knowledge and consent. Researchers also may not identify individual participants in their research reports (we typically report only group means and other statistics). With online data collection becoming increasingly popular, researchers also have to be mindful that they follow local data privacy laws, collect only the data that they really need (e.g., avoiding including unnecessary questions in surveys), strictly restrict access to the raw data, and have a plan in place to securely destroy the data after it is no longer needed.
• Risks and Benefits: People who participate in psychological studies should be exposed to risk only if they fully understand the risks and only if the likely benefits clearly outweigh those risks. The Stanford prison study is a notorious example of a failure to meet this obligation. It was planned to run for two weeks but had to be shut down after only six days because of the abuse suffered by the “prison inmates.” But even less extreme cases, such as researchers wishing to investigate implicit prejudice using the IAT, need to be considerate of the consequences of providing feedback to participants about their nonconscious biases. Similarly, any manipulations that could potentially provoke serious emotional reactions (e.g., the culture of honor study described above) or relatively permanent changes in people’s beliefs or behaviors (e.g., attitudes towards recycling) need to be carefully reviewed by the IRB.
• Deception: Social psychologists sometimes need to deceive participants (e.g., using a cover story) to avoid demand characteristics by hiding the true nature of the study. This is typically done to prevent participants from modifying their behavior in unnatural ways, especially in laboratory or field experiments. For example, when Milgram recruited participants for his experiments on obedience to authority, he described it as being a study of the effects of punishment on memory! Deception is typically only permitted (a) when the benefits of the study outweigh the risks, (b) participants are not reasonably expected to be harmed, (c) the research question cannot be answered without the use of deception, and (d) participants are informed about the deception as soon as possible, usually through debriefing.
• Debriefing: This is the process of informing research participants as soon as possible of the purpose of the study, revealing any deceptions, and correcting any misconceptions they might have as a result of participating. Debriefing also involves minimizing harm that might have occurred. For example, an experiment examining the effects of sad moods on charitable behavior might involve inducing a sad mood in participants by having them think sad thoughts, watch a sad video, or listen to sad music. Debriefing would therefore be the time to return participants’ moods to normal by having them think happy thoughts, watch a happy video, or listen to happy music.

As an immensely social species, we affect and influence each other in many ways, particularly through our interactions and cultural expectations, both conscious and nonconscious. The study of social psychology examines much of the business of our everyday lives, including our thoughts, feelings, and behaviors we are unaware or ashamed of. The desire to carefully and precisely study these topics, together with advances in technology, has led to the development of many creative techniques that allow researchers to explore the mechanics of how we relate to one another. Consider this your invitation to join the investigation.

Outside Resources

Discussion questions.

• What are some pros and cons of experimental research, field research, and archival research?
• How would you feel if you learned that you had been a participant in a naturalistic observation study (without explicitly providing your consent)? How would you feel if you learned during a debriefing procedure that you have a stronger association between the concept of violence and members of visible minorities? Can you think of other examples of when following principles of ethical research create challenging situations?
• Can you think of an attitude (other than those related to prejudice) that would be difficult or impossible to measure by asking people directly?
• What do you think is the difference between a manipulation check and a dependent variable?
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• Beck, E. M., & Tolnay, S. E. (1990). The killing fields of the Deep South: The market for cotton and the lynching of Blacks, 1882-1930. American Sociological Review , 55(4), 526-539.
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Social Work Research Methods That Drive the Practice

Social workers advocate for the well-being of individuals, families and communities. But how do social workers know what interventions are needed to help an individual? How do they assess whether a treatment plan is working? What do social workers use to write evidence-based policy?

Social work involves research-informed practice and practice-informed research. At every level, social workers need to know objective facts about the populations they serve, the efficacy of their interventions and the likelihood that their policies will improve lives. A variety of social work research methods make that possible.

Data-Driven Work

Data is a collection of facts used for reference and analysis. In a field as broad as social work, data comes in many forms.

Quantitative vs. Qualitative

As with any research, social work research involves both quantitative and qualitative studies.

Quantitative Research

Answers to questions like these can help social workers know about the populations they serve — or hope to serve in the future.

• How many students currently receive reduced-price school lunches in the local school district?
• How many hours per week does a specific individual consume digital media?
• How frequently did community members access a specific medical service last year?

Quantitative data — facts that can be measured and expressed numerically — are crucial for social work.

Quantitative research has advantages for social scientists. Such research can be more generalizable to large populations, as it uses specific sampling methods and lends itself to large datasets. It can provide important descriptive statistics about a specific population. Furthermore, by operationalizing variables, it can help social workers easily compare similar datasets with one another.

Qualitative Research

Qualitative data — facts that cannot be measured or expressed in terms of mere numbers or counts — offer rich insights into individuals, groups and societies. It can be collected via interviews and observations.

• What attitudes do students have toward the reduced-price school lunch program?
• What strategies do individuals use to moderate their weekly digital media consumption?
• What factors made community members more or less likely to access a specific medical service last year?

Qualitative research can thereby provide a textured view of social contexts and systems that may not have been possible with quantitative methods. Plus, it may even suggest new lines of inquiry for social work research.

Mixed Methods Research

Combining quantitative and qualitative methods into a single study is known as mixed methods research. This form of research has gained popularity in the study of social sciences, according to a 2019 report in the academic journal Theory and Society. Since quantitative and qualitative methods answer different questions, merging them into a single study can balance the limitations of each and potentially produce more in-depth findings.

However, mixed methods research is not without its drawbacks. Combining research methods increases the complexity of a study and generally requires a higher level of expertise to collect, analyze and interpret the data. It also requires a greater level of effort, time and often money.

The Importance of Research Design

Data-driven practice plays an essential role in social work. Unlike philanthropists and altruistic volunteers, social workers are obligated to operate from a scientific knowledge base.

To know whether their programs are effective, social workers must conduct research to determine results, aggregate those results into comprehensible data, analyze and interpret their findings, and use evidence to justify next steps.

Employing the proper design ensures that any evidence obtained during research enables social workers to reliably answer their research questions.

Research Methods in Social Work

The various social work research methods have specific benefits and limitations determined by context. Common research methods include surveys, program evaluations, needs assessments, randomized controlled trials, descriptive studies and single-system designs.

Surveys involve a hypothesis and a series of questions in order to test that hypothesis. Social work researchers will send out a survey, receive responses, aggregate the results, analyze the data, and form conclusions based on trends.

Surveys are one of the most common research methods social workers use — and for good reason. They tend to be relatively simple and are usually affordable. However, surveys generally require large participant groups, and self-reports from survey respondents are not always reliable.

Program Evaluations

Social workers ally with all sorts of programs: after-school programs, government initiatives, nonprofit projects and private programs, for example.

Crucially, social workers must evaluate a program’s effectiveness in order to determine whether the program is meeting its goals and what improvements can be made to better serve the program’s target population.

Evidence-based programming helps everyone save money and time, and comparing programs with one another can help social workers make decisions about how to structure new initiatives. Evaluating programs becomes complicated, however, when programs have multiple goal metrics, some of which may be vague or difficult to assess (e.g., “we aim to promote the well-being of our community”).

Needs Assessments

Social workers use needs assessments to identify services and necessities that a population lacks access to.

Common social work populations that researchers may perform needs assessments on include:

• People in a specific income group
• Everyone in a specific geographic region
• A specific ethnic group
• People in a specific age group

In the field, a social worker may use a combination of methods (e.g., surveys and descriptive studies) to learn more about a specific population or program. Social workers look for gaps between the actual context and a population’s or individual’s “wants” or desires.

For example, a social worker could conduct a needs assessment with an individual with cancer trying to navigate the complex medical-industrial system. The social worker may ask the client questions about the number of hours they spend scheduling doctor’s appointments, commuting and managing their many medications. After learning more about the specific client needs, the social worker can identify opportunities for improvements in an updated care plan.

In policy and program development, social workers conduct needs assessments to determine where and how to effect change on a much larger scale. Integral to social work at all levels, needs assessments reveal crucial information about a population’s needs to researchers, policymakers and other stakeholders. Needs assessments may fall short, however, in revealing the root causes of those needs (e.g., structural racism).

Randomized Controlled Trials

Randomized controlled trials are studies in which a randomly selected group is subjected to a variable (e.g., a specific stimulus or treatment) and a control group is not. Social workers then measure and compare the results of the randomized group with the control group in order to glean insights about the effectiveness of a particular intervention or treatment.

Randomized controlled trials are easily reproducible and highly measurable. They’re useful when results are easily quantifiable. However, this method is less helpful when results are not easily quantifiable (i.e., when rich data such as narratives and on-the-ground observations are needed).

Descriptive Studies

Descriptive studies immerse the researcher in another context or culture to study specific participant practices or ways of living. Descriptive studies, including descriptive ethnographic studies, may overlap with and include other research methods:

• Informant interviews
• Census data
• Observation

By using descriptive studies, researchers may glean a richer, deeper understanding of a nuanced culture or group on-site. The main limitations of this research method are that it tends to be time-consuming and expensive.

Single-System Designs

Unlike most medical studies, which involve testing a drug or treatment on two groups — an experimental group that receives the drug/treatment and a control group that does not — single-system designs allow researchers to study just one group (e.g., an individual or family).

Single-system designs typically entail studying a single group over a long period of time and may involve assessing the group’s response to multiple variables.

For example, consider a study on how media consumption affects a person’s mood. One way to test a hypothesis that consuming media correlates with low mood would be to observe two groups: a control group (no media) and an experimental group (two hours of media per day). When employing a single-system design, however, researchers would observe a single participant as they watch two hours of media per day for one week and then four hours per day of media the next week.

These designs allow researchers to test multiple variables over a longer period of time. However, similar to descriptive studies, single-system designs can be fairly time-consuming and costly.

Learn More About Social Work Research Methods

Social workers have the opportunity to improve the social environment by advocating for the vulnerable — including children, older adults and people with disabilities — and facilitating and developing resources and programs.

Learn more about how you can earn your  Master of Social Work online at Virginia Commonwealth University . The highest-ranking school of social work in Virginia, VCU has a wide range of courses online. That means students can earn their degrees with the flexibility of learning at home. Learn more about how you can take your career in social work further with VCU.

From M.S.W. to LCSW: Understanding Your Career Path as a Social Worker

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How to Become a Social Worker in Health Care

Gov.uk, Mixed Methods Study

MVS Open Press, Foundations of Social Work Research

Open Social Work Education, Scientific Inquiry in Social Work

Open Social Work, Graduate Research Methods in Social Work: A Project-Based Approach

Routledge, Research for Social Workers: An Introduction to Methods

SAGE Publications, Research Methods for Social Work: A Problem-Based Approach

Theory and Society, Mixed Methods Research: What It Is and What It Could Be

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