social work research questions can be formulated by

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Part 2: Conceptualizing your research project

9. Writing your research question

Chapter outline.

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

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

9.1 Empirical vs. ethical questions

Learning objectives.

Learners will be able to…

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

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

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

Empirical vs. ethical questions

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

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

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

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

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

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

Key Takeaways

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

9.2 Characteristics of a good research question

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

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

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

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

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

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

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

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

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

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

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

9.3 Quantitative research questions

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

Quantitative descriptive questions

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

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

Quantitative explanatory questions

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

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

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

Making it more specific

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

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

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

Quantitative exploratory questions

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

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

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

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

9.4 Qualitative research questions

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

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

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

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

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

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

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

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

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

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

9.5 Evaluating and updating your research questions

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

Feasibility and importance

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

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

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

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

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

Matching your research question and study design

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

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

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

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

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

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

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

• Research questions must be feasible and important.
• Research questions must match study design.
• Based on what you know about designs like surveys, experiments, and interviews, describe how you might use one of them to answer your research question.
• You may want to refer back to Chapter 2 which discusses how to get raw data about your topic and the common designs used in student research projects.

Media Attributions

• patrick-starfish-2062906_1920 © Inspired Images is licensed under a CC0 (Creative Commons Zero) license
• financial-2860753_1920 © David Schwarzenberg is licensed under a CC0 (Creative Commons Zero) license
• target-group-3460039_1920 © Gerd Altmann is licensed under a CC0 (Creative Commons Zero) license
• Not familiar with SpongeBob SquarePants? You can learn more about him on Nickelodeon’s site dedicated to all things SpongeBob:  http://www.nick.com/spongebob-squarepants/ ↵
• Focus on the Family. (2005, January 26). Focus on SpongeBob.  Christianity Today . Retrieved from  http://www.christianitytoday.com/ct/2005/januaryweb-only/34.0c.html ↵
• BBC News. (2005, January 20). US right attacks SpongeBob video. Retrieved from:  http://news.bbc.co.uk/2/hi/americas/4190699.stm ↵
• In fact, an MA thesis examines representations of gender and relationships in the cartoon: Carter, A. C. (2010).  Constructing gender and   relationships in “SpongeBob SquarePants”: Who lives in a pineapple under the sea . MA thesis, Department of Communication, University of South Alabama, Mobile, AL. ↵

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

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

the group of people whose needs your study addresses

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

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

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

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

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

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Formulation of Research Question – Stepwise Approach

Simmi k. ratan.

Department of Pediatric Surgery, Maulana Azad Medical College, New Delhi, India

1 Department of Community Medicine, North Delhi Municipal Corporation Medical College, New Delhi, India

2 Department of Pediatric Surgery, Batra Hospital and Research Centre, New Delhi, India

Formulation of research question (RQ) is an essentiality before starting any research. It aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. It is, therefore, pertinent to formulate a good RQ. The present paper aims to discuss the process of formulation of RQ with stepwise approach. The characteristics of good RQ are expressed by acronym “FINERMAPS” expanded as feasible, interesting, novel, ethical, relevant, manageable, appropriate, potential value, publishability, and systematic. A RQ can address different formats depending on the aspect to be evaluated. Based on this, there can be different types of RQ such as based on the existence of the phenomenon, description and classification, composition, relationship, comparative, and causality. To develop a RQ, one needs to begin by identifying the subject of interest and then do preliminary research on that subject. The researcher then defines what still needs to be known in that particular subject and assesses the implied questions. After narrowing the focus and scope of the research subject, researcher frames a RQ and then evaluates it. Thus, conception to formulation of RQ is very systematic process and has to be performed meticulously as research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

I NTRODUCTION

A good research question (RQ) forms backbone of a good research, which in turn is vital in unraveling mysteries of nature and giving insight into a problem.[ 1 , 2 , 3 , 4 ] RQ identifies the problem to be studied and guides to the methodology. It leads to building up of an appropriate hypothesis (Hs). Hence, RQ aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. A good RQ helps support a focused arguable thesis and construction of a logical argument. Hence, formulation of a good RQ is undoubtedly one of the first critical steps in the research process, especially in the field of social and health research, where the systematic generation of knowledge that can be used to promote, restore, maintain, and/or protect health of individuals and populations.[ 1 , 3 , 4 ] Basically, the research can be classified as action, applied, basic, clinical, empirical, administrative, theoretical, or qualitative or quantitative research, depending on its purpose.[ 2 ]

Research plays an important role in developing clinical practices and instituting new health policies. Hence, there is a need for a logical scientific approach as research has an important goal of generating new claims.[ 1 ]

C HARACTERISTICS OF G OOD R ESEARCH Q UESTION

“The most successful research topics are narrowly focused and carefully defined but are important parts of a broad-ranging, complex problem.”

A good RQ is an asset as it:

• Details the problem statement
• Further describes and refines the issue under study
• Adds focus to the problem statement
• Guides data collection and analysis
• Sets context of research.

Hence, while writing RQ, it is important to see if it is relevant to the existing time frame and conditions. For example, the impact of “odd-even” vehicle formula in decreasing the level of air particulate pollution in various districts of Delhi.

A good research is represented by acronym FINERMAPS[ 5 ]

Interesting.

• Appropriate
• Potential value and publishability
• Systematic.

Feasibility means that it is within the ability of the investigator to carry out. It should be backed by an appropriate number of subjects and methodology as well as time and funds to reach the conclusions. One needs to be realistic about the scope and scale of the project. One has to have access to the people, gadgets, documents, statistics, etc. One should be able to relate the concepts of the RQ to the observations, phenomena, indicators, or variables that one can access. One should be clear that the collection of data and the proceedings of project can be completed within the limited time and resources available to the investigator. Sometimes, a RQ appears feasible, but when fieldwork or study gets started, it proves otherwise. In this situation, it is important to write up the problems honestly and to reflect on what has been learned. One should try to discuss with more experienced colleagues or the supervisor so as to develop a contingency plan to anticipate possible problems while working on a RQ and find possible solutions in such situations.

This is essential that one has a real grounded interest in one's RQ and one can explore this and back it up with academic and intellectual debate. This interest will motivate one to keep going with RQ.

The question should not simply copy questions investigated by other workers but should have scope to be investigated. It may aim at confirming or refuting the already established findings, establish new facts, or find new aspects of the established facts. It should show imagination of the researcher. Above all, the question has to be simple and clear. The complexity of a question can frequently hide unclear thoughts and lead to a confused research process. A very elaborate RQ, or a question which is not differentiated into different parts, may hide concepts that are contradictory or not relevant. This needs to be clear and thought-through. Having one key question with several subcomponents will guide your research.

This is the foremost requirement of any RQ and is mandatory to get clearance from appropriate authorities before stating research on the question. Further, the RQ should be such that it minimizes the risk of harm to the participants in the research, protect the privacy and maintain their confidentiality, and provide the participants right to withdraw from research. It should also guide in avoiding deceptive practices in research.

The question should of academic and intellectual interest to people in the field you have chosen to study. The question preferably should arise from issues raised in the current situation, literature, or in practice. It should establish a clear purpose for the research in relation to the chosen field. For example, filling a gap in knowledge, analyzing academic assumptions or professional practice, monitoring a development in practice, comparing different approaches, or testing theories within a specific population are some of the relevant RQs.

Manageable (M): It has the similar essence as of feasibility but mainly means that the following research can be managed by the researcher.

Appropriate (A): RQ should be appropriate logically and scientifically for the community and institution.

Potential value and publishability (P): The study can make significant health impact in clinical and community practices. Therefore, research should aim for significant economic impact to reduce unnecessary or excessive costs. Furthermore, the proposed study should exist within a clinical, consumer, or policy-making context that is amenable to evidence-based change. Above all, a good RQ must address a topic that has clear implications for resolving important dilemmas in health and health-care decisions made by one or more stakeholder groups.

Systematic (S): Research is structured with specified steps to be taken in a specified sequence in accordance with the well-defined set of rules though it does not rule out creative thinking.

Example of RQ: Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? This question fulfills the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant.

Types of research question

A RQ can address different formats depending on the aspect to be evaluated.[ 6 ] For example:

• Existence: This is designed to uphold the existence of a particular phenomenon or to rule out rival explanation, for example, can neonates perceive pain?
• Description and classification: This type of question encompasses statement of uniqueness, for example, what are characteristics and types of neuropathic bladders?
• Composition: It calls for breakdown of whole into components, for example, what are stages of reflux nephropathy?
• Relationship: Evaluate relation between variables, for example, association between tumor rupture and recurrence rates in Wilm's tumor
• Descriptive—comparative: Expected that researcher will ensure that all is same between groups except issue in question, for example, Are germ cell tumors occurring in gonads more aggressive than those occurring in extragonadal sites?
• Causality: Does deletion of p53 leads to worse outcome in patients with neuroblastoma?
• Causality—comparative: Such questions frequently aim to see effect of two rival treatments, for example, does adding surgical resection improves survival rate outcome in children with neuroblastoma than with chemotherapy alone?
• Causality–Comparative interactions: Does immunotherapy leads to better survival outcome in neuroblastoma Stage IV S than with chemotherapy in the setting of adverse genetic profile than without it? (Does X cause more changes in Y than those caused by Z under certain condition and not under other conditions).

How to develop a research question

• Begin by identifying a broader subject of interest that lends itself to investigate, for example, hormone levels among hypospadias
• Do preliminary research on the general topic to find out what research has already been done and what literature already exists.[ 7 ] Therefore, one should begin with “information gaps” (What do you already know about the problem? For example, studies with results on testosterone levels among hypospadias
• What do you still need to know? (e.g., levels of other reproductive hormones among hypospadias)
• What are the implied questions: The need to know about a problem will lead to few implied questions. Each general question should lead to more specific questions (e.g., how hormone levels differ among isolated hypospadias with respect to that in normal population)
• Narrow the scope and focus of research (e.g., assessment of reproductive hormone levels among isolated hypospadias and hypospadias those with associated anomalies)
• Is RQ clear? With so much research available on any given topic, RQs must be as clear as possible in order to be effective in helping the writer direct his or her research
• Is the RQ focused? RQs must be specific enough to be well covered in the space available
• Is the RQ complex? RQs should not be answerable with a simple “yes” or “no” or by easily found facts. They should, instead, require both research and analysis on the part of the writer
• Is the RQ one that is of interest to the researcher and potentially useful to others? Is it a new issue or problem that needs to be solved or is it attempting to shed light on previously researched topic
• Is the RQ researchable? Consider the available time frame and the required resources. Is the methodology to conduct the research feasible?
• Is the RQ measurable and will the process produce data that can be supported or contradicted?
• Is the RQ too broad or too narrow?
• Create Hs: After formulating RQ, think where research is likely to be progressing? What kind of argument is likely to be made/supported? What would it mean if the research disputed the planned argument? At this step, one can well be on the way to have a focus for the research and construction of a thesis. Hs consists of more specific predictions about the nature and direction of the relationship between two variables. It is a predictive statement about the outcome of the research, dictate the method, and design of the research[ 1 ]
• Understand implications of your research: This is important for application: whether one achieves to fill gap in knowledge and how the results of the research have practical implications, for example, to develop health policies or improve educational policies.[ 1 , 8 ]

Brainstorm/Concept map for formulating research question

• First, identify what types of studies have been done in the past?
• Is there a unique area that is yet to be investigated or is there a particular question that may be worth replicating?
• Begin to narrow the topic by asking open-ended “how” and “why” questions
• Evaluate the question
• Develop a Hypothesis (Hs)
• Write down the RQ.

Writing down the research question

• State the question in your own words
• Write down the RQ as completely as possible.

For example, Evaluation of reproductive hormonal profile in children presenting with isolated hypospadias)

• Divide your question into concepts. Narrow to two or three concepts (reproductive hormonal profile, isolated hypospadias, compare with normal/not isolated hypospadias–implied)
• Specify the population to be studied (children with isolated hypospadias)
• Refer to the exposure or intervention to be investigated, if any
• Reflect the outcome of interest (hormonal profile).

Another example of a research question

Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? Apart from fulfilling the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant, it also details about the intervention done (topical skin application of oil), rationale of intervention (as a skin barrier), population to be studied (preterm infants), and outcome (reduces hypothermia).

Other important points to be heeded to while framing research question

• Make reference to a population when a relationship is expected among a certain type of subjects
• RQs and Hs should be made as specific as possible
• Avoid words or terms that do not add to the meaning of RQs and Hs
• Stick to what will be studied, not implications
• Name the variables in the order in which they occur/will be measured
• Avoid the words significant/”prove”
• Avoid using two different terms to refer to the same variable.

Some of the other problems and their possible solutions have been discussed in Table 1 .

Potential problems and solutions while making research question

G OING B EYOND F ORMULATION OF R ESEARCH Q UESTION–THE P ATH A HEAD

Once RQ is formulated, a Hs can be developed. Hs means transformation of a RQ into an operational analog.[ 1 ] It means a statement as to what prediction one makes about the phenomenon to be examined.[ 4 ] More often, for case–control trial, null Hs is generated which is later accepted or refuted.

A strong Hs should have following characteristics:

• Give insight into a RQ
• Are testable and measurable by the proposed experiments
• Have logical basis
• Follows the most likely outcome, not the exceptional outcome.

E XAMPLES OF R ESEARCH Q UESTION AND H YPOTHESIS

Research question-1.

• Does reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients?

Hypothesis-1

• Reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients
• In pediatric patients with esophageal atresia, gap of <2 cm between two segments of the esophagus and proper mobilization of proximal pouch reduces the morbidity and mortality among such patients.

Research question-2

• Does application of mitomycin C improves the outcome in patient of corrosive esophageal strictures?

Hypothesis-2

In patients aged 2–9 years with corrosive esophageal strictures, 34 applications of mitomycin C in dosage of 0.4 mg/ml for 5 min over a period of 6 months improve the outcome in terms of symptomatic and radiological relief. Some other examples of good and bad RQs have been shown in Table 2 .

Examples of few bad (left-hand side column) and few good (right-hand side) research questions

R ESEARCH Q UESTION AND S TUDY D ESIGN

RQ determines study design, for example, the question aimed to find the incidence of a disease in population will lead to conducting a survey; to find risk factors for a disease will need case–control study or a cohort study. RQ may also culminate into clinical trial.[ 9 , 10 ] For example, effect of administration of folic acid tablet in the perinatal period in decreasing incidence of neural tube defect. Accordingly, Hs is framed.

Appropriate statistical calculations are instituted to generate sample size. The subject inclusion, exclusion criteria and time frame of research are carefully defined. The detailed subject information sheet and pro forma are carefully defined. Moreover, research is set off few examples of research methodology guided by RQ:

• Incidence of anorectal malformations among adolescent females (hospital-based survey)
• Risk factors for the development of spontaneous pneumoperitoneum in pediatric patients (case–control design and cohort study)
• Effect of technique of extramucosal ureteric reimplantation without the creation of submucosal tunnel for the preservation of upper tract in bladder exstrophy (clinical trial).

The results of the research are then be available for wider applications for health and social life

C ONCLUSION

A good RQ needs thorough literature search and deep insight into the specific area/problem to be investigated. A RQ has to be focused yet simple. Research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

R EFERENCES

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Social Work Research Guide

• Getting Started
• Finding Articles
• Finding Books
• Citing Sources - APA
• Developing a Research Question
• Literature Review Assignment
• Annotated Bibliography Assignment

From Topic to Question

• What makes a good research question?
• QuickSearch
• Using Google

In chapter 2 of  Research Methods for Social Workers: An Introduction , the authors describe the criteria for determining whether you have a good research question. There are four elements to consider when evaluating your research question:

Researchable

• Ethical and culturally sensitive

A relevant research question is one whose answers will have an impact on policies, theories, or practices related to the social work profession. Other factors determining the relevance include the organization who funds the research, the program that houses it, and the research team that undertakes it.

Generally, questions that involve moral or faith-based decisions are outside of the realm of research. A researchable question is appropriate for scientific inquiry, where it is possible to collect viable and reliable data to answer the question.

Feasibility

What are the resources available to you to conduct this research? The scope of the research study might be limited because of your resources, or lack thereof. Could you practically do what you have planned?

Ethical and Cultural Acceptability

The way your research question is phrased as well as the way the study is eventually conducted have the potential to cause harm. As you begin your research for the literature review, you will become more aware of what came before on a similar topic, including anything that study missed. 

If you are struggling to develop a good research question talk to your professor or contact me! 

QuickSearch is a tool that searches across many of the resources available to you at SHU Library. With one search box, you can search keywords for your topic and the results will include books, eBooks, peer-reviewed articles, as well as newspapers, magazines and other media (like streaming video).

QuickSearch is a good place to start your research for your topic. With the results you get a general idea of what is available about the topic and you have the ability to start reading through the research. 

You can use the search box below to test it out.

• What am I searching?

For more information about using QuickSearch, watch the video below. 

Google is a natural place to start for all of use when looking for information. It's easy to use and generally gives you the answers you want or need. 

When it comes to academic research though, it might not be the best option. Typing in "palliative care" gives you more than 26 million results with no easy way to narrow them down or to know what is reputable, scholarly and peer-reviewed. Don't get me wrong, you could probably figure all that out with a Google search, but how much time would you end up spending to do so?

A better option is to do a search in Google Scholar. This will search through scholarly books, research articles, open access and subscription journals. So it narrows down to the resources you need to consult (are required to consult) in research in the Social Work field.

The biggest drawback is that you might not get full-text access to all of the citations, articles and books available in a Google Scholar search. Check out the Research Tools at SHU page in this guide to find out about Citation Linker and Journal Finder, which can help connect you to the resources you find in a Google Scholar search.

The pitfalls of Google

Google dominates our lives in so many ways. They are the most used search engine (about 65% of the market). Doesn't everyone use Chrome and have a Gmail account? Google knows a lot about us, but we don't know everything about them.

How does Google decide on the search results and the order they display? 

Many factors influence this:

• Your search history
• Your location
• What other people are searching
• Money: ads and sponsored content

It is important to be aware of these issues, not only when searching for an assignment, but even when you need some information for your personal life. These factors can sway your search results.

Sometimes this is okay. If you are looking for information about a place to eat lunch, you want to get results that are closest to you, not in a totally different state.  

Here is a very informative and complex infographic about this issue:  http://www.seobook.com/learn-seo/infographics/how-search-works.php 

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FIND US ON  

Scientific Inquiry in Social Work

(9 reviews)

Matthew DeCarlo, Radford University

Copyright Year: 2018

ISBN 13: 9781975033729

Publisher: Open Social Work Education

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Shannon Blajeski, Assistant Professor, Portland State University on 3/10/23

This book provides an introduction to research and inquiry in social work with an applied focus geared for the MSW student. The text covers 16 chapters, including several dedicated to understanding how to begin the research process, a chapter on... read more

Comprehensiveness rating: 5 see less

This book provides an introduction to research and inquiry in social work with an applied focus geared for the MSW student. The text covers 16 chapters, including several dedicated to understanding how to begin the research process, a chapter on ethics, and then eight chapters dedicated to research methods. The subchapters (1-5 per chapter) are concise and focused while also being tied to current knowledge and events so as to hold the reader's attention. It is comprehensive, but some of the later chapters covering research methods as well as the final chapter seem a bit scant and could be expanded. The glossary at the end of each chapter is helpful as is the index that is always accessible from the left-hand drop-down menu.

Content Accuracy rating: 4

The author pulls in relevant current and recent public events to illustrate important points about social research throughout the book. Each sub-chapter reads as accurate. I did not come across any inaccuracies in the text, however I would recommend a change in the title of Chapter 15 as "real world research" certainly encompasses more than program evaluation, single-subject designs, and action research.

Relevance/Longevity rating: 5

Another major strength of this book is that it adds currency to engage the reader while also maintaining its relevance to research methods. None of the current events/recent events that are described seem dated nor will they fade from relevance in a number of years. In addition, the concise nature of the modules should make them easy to update when needed to maintain relevancy in future editions.

Clarity rating: 5

Clarity is a major strength of this textbook. As described in the interface section, this book is written to be clear and concise, without unnecessary extra text that detracts from the concise content provided in each chapter. Any lengthy excerpts are also very engaging which lends itself to a clear presentation of content for the reader.

Consistency rating: 5

The text and content seems to be presented consistently throughout the book. Terminology and frameworks are balanced with real-world examples and current events.

Modularity rating: 5

The chapters of this textbook are appropriately spaced and easily digestible, particularly for readers with time constraints. Each chapter contains 3-5 sub-chapters that build upon each other in a scaffolding style. This makes it simple for the instructor to assign each chapter (sometimes two) per weekly session as well as add in additional assigned readings to complement the text.

Organization/Structure/Flow rating: 5

The overall organization of the chapters flow well. The book begins with a typical introduction to research aimed at social work practitioners or new students in social work. It then moves into a set of chapters on beginning a research project, reviewing literature, and asking research questions, followed by a chapter on ethics. Next, the text transitions to three chapters covering constructs, measurement, and sampling, followed by five chapters covering research methods, and a closing chapter on dissemination of research. This is one of the more logically-organized research methods texts that I have used as an instructor.

Interface rating: 5

The modular chapters are easy to navigate and the interface of each chapter follows a standard presentation style with the reading followed by a short vocabulary glossary and references. This presentation lends itself to a familiarity for students that helps them become more efficient with completing reading assignments, even in short bursts of time. This is particularly important for online and returning learners who may juggle their assignment time with family and work obligations.

Grammatical Errors rating: 5

No grammatical errors were noted.

Cultural Relevance rating: 4

At first glance at the table of contents, the book doesn't seem to be overtly committed to cultural representation, however, upon reading the chapters, it becomes clear that the author does try to represent and reference marginalized groups (e.g., women, individuals with disabilities, racial/ethnic/gender intersectionality) within the examples used. I also am very appreciative that the bottom of each introduction page for each chapter contains content trigger warnings for any possible topics that could be upsetting, e.g., substance abuse, violence.

As the author likely knows, social work students are eager to engage in learning that is current and relevant to their social causes. This book is written in a way that engages a non-researcher social worker into reading about research by weaving research information into topics that they might find compelling. It also does this in a concise way where short bits of pertinent information are presented, making the text accessible without needing to sustain long periods of attention. This is particularly important for online and returning learners who may need to sit with their readings in short bursts due to attending school while juggling work and family obligations.

Reviewed by Lynn Goerdt, Associate Professor, University of Wisconsin - Superior on 9/17/21

Text appears to be comprehensive in covering steps for typical SWK research class, taking students from the introduction of the purpose and importance of research to how to design and analyze research. Author covers the multitude of ways that... read more

Text appears to be comprehensive in covering steps for typical SWK research class, taking students from the introduction of the purpose and importance of research to how to design and analyze research. Author covers the multitude of ways that social workers engage in research as way of building knowledge and ways that social work practitioners conduct research to evaluate their practice, including outcome evaluation, single subject design, and action research. I particularly appreciated the last section on reporting research, which should be very practical.

Overall, content appears mostly accurate which few errors. Definitions and citations are mostly thorough and clear. Author does cite Wikipedia in at least one occasion which could be credible, depending on the source of the Wikipedia content. There were a few references within the text to comic or stories but the referenced material was not always apparent.

Relevance/Longevity rating: 4

The content of Scientific Inquiry for Social Work is relevant, as the field of social work research methods does not appear to change quickly, although there are innovations. The author referenced examples which appear to be recent and likely relatable to interests of current students. Primary area of innovation is in using technology for the collection and analysis of data, which could be expanded, particularly using social media for soliciting research participants.

Style is personable and content appears to be accessible, which is a unique attribute for a research textbook. Author uses first person in many instances, particularly in the beginning to present the content as relatable.

Format appears to be consistent in format and relative length. Each chapter includes learning objectives, content advisory (if applicable), key takeaways and glossary. Author uses color and text boxes to draw attention to these sections.

Modularity rating: 4

Text is divided into modules which could easily be assigned and reviewed in a class. The text modules could also be re-structured if desired to fit curricular uniqueness’s. Author uses images to illuminate the concepts of the module or chapter, but they often take about 1/3 of the page, which extends the size of the textbook quite a bit. Unclear if benefit of images outweighs additional cost if PDF version is printed.

Textbook is organized in a very logical and clear fashion. Each section appears to be approximately 6-10 pages in length which seems to be an optimal length for student attention and comprehension.

Interface rating: 4

There were some distortions of the text (size and visibility) but they were a fairly minor distraction and did not appear to reduce access to the content. Otherwise text was easy to navigate.

Grammatical Errors rating: 4

No grammatical errors were noted but hyperlinks to outside content were referenced but not always visible which occasionally resulted in an awkward read. Specific link may be in resources section of each chapter but occasionally they were also included in the text.

I did not recognize any text which was culturally insensitive or offensive. Images used which depicted people, appeared to represent diverse experiences, cultures, settings and persons. Did notice image depicting homelessness appeared to be stereotypical person sleeping on sidewalk, which can perpetuate a common perception of homelessness. Would encourage author to consider images representing a wider range of experiences of a social phenomena. Content advisories are used for each section, which is not necessarily cultural relevance but is respectful and recognizes the diversity of experiences and triggers that the readers may have.

Overall, I was very impressed and encouraged with the well organized content and thoughtful flow of this important textbook for social work students and instructors. The length and readability of each chapter would likely be appreciated by instructors as well as students, increasing the extent that the learning outcomes would be achieved. Teaching research is very challenging because the content and application can feel very intimidating. The author also has provided access to supplemental resources such as presentations and assignments.

Reviewed by elaine gatewood, Adjunct Faculty, Bridgewater State University on 6/15/21

The book provides concrete and clear information on using research as consumers, It provides a comprehensive review of each step to take to develop a research project from beginning to completion, with examples. read more

The book provides concrete and clear information on using research as consumers, It provides a comprehensive review of each step to take to develop a research project from beginning to completion, with examples.

Content Accuracy rating: 5

From my perspective, content is highly accurate in the field of learning research method and unbiased. It's all there!

The content is highly relevant and up-to-date in the field. The book is written and arranged in a way that its easy to follow along with adding updates.

The book is written in clear and concise. The book provides appropriate context for any jargon/technical terminology used along with examples which readers are able to follow along and understand.

The contents of the book flow quite well. The framework in the book is consistent.

The text appears easily adaptable for readers and the author also provides accompanying PowerPoint presentations; these are a good foundation tools for readers to use and implement.

Organization/Structure/Flow rating: 4

The contents of the book flow very well. Readers would be able to put into practice the key reading strategies shared in the book ) because its organization is laid out nicely

Interface rating: 3

The interface is generally good, but I was only able to download the .pdf. This may present issues for some student readers.

There are no grammatical errors.

The text was culturally relevant and provided diverse research and practice examples. The text could have benefited from sexamples of intersectional and anti-oppressive lenses for students to consider in their practice.

This text is a comprehensive introduction to research that can be easily adapted for a BSW/MSW research course.

Reviewed by Taylor Hall, Assistant Professor, Bridgewater State University on 6/30/20

This text is more comprehensive than the text I currently use in my Research Methods in Social Work course, which students have to pay for. This text not only covers both qualitative and quantitative research methods, but also all parts of the... read more

This text is more comprehensive than the text I currently use in my Research Methods in Social Work course, which students have to pay for. This text not only covers both qualitative and quantitative research methods, but also all parts of the research process from thinking about research ideas to questions all the way to evaluation after social work programs/policies have been employed.

Not much to say here- with research methods, things are black and white; it is or isn't. This content is accurate. I also like to way the content is explained in light of social work values and ethics. This is something our students can struggle with, and this is helpful in terms of showing why social work needs to pay attention to research.

There are upcoming changes to CSWE's competencies, therefore lots of text materials are going to need to be updated soon. Otherwise, case examples are pertinent and timely.

Clarity rating: 4

I think that research methods for social workers is a difficult field of study. Many go into the field to be clinicians, and few understand (off the bat) the importance of understanding methods of research. I think this textbook makes it clear to me, but hard to rate a 5 as I know from a student's perspective, lots of the terminology is so new.

Appears to be so- I was able to follow, seems consistent.

Yes- and I think this is a strong point of this text. This was easy to follow and read, and I could see myself easily divvying up different sections for students to work on in groups.

Yes- makes sense to me and the way I teach this course. I like the 30,000 ft view then honing in on specific types of research, all along the way explaining the different pieces of the research process and in writing a research paper.

I sometimes struggle with online platforms versus in person texts to read, and this OER is visually appealing- there is not too much text on the pages, it is spaced in a way that makes it easier to read. Colors are used well to highlight pertinent information.

Not something I found in this text.

Cultural Relevance rating: 3

This is a place where I feel the text could use some work. A nod to past wrongdoings in research methods on oppressed groups, and more of a discussion on social work's role in social justice with an eye towards righting the wrongs of the past. Updated language re: person first language, more diverse examples, etc.

This is a very useful text, and I am going to recommend my department check it out for future use, especially as many of our students are first gen and working class and would love to save money on textbooks where possible.

Reviewed by Olubunmi Oyewuwo-Gassikia, Assistant Professor, Northeastern Illinois University on 5/5/20

This text is an appropriate and comprehensive introduction to research methods for BSW students. It guides the reader through each stage of the research project, including identifying a research question, conducting and writing a literature... read more

This text is an appropriate and comprehensive introduction to research methods for BSW students. It guides the reader through each stage of the research project, including identifying a research question, conducting and writing a literature review, research ethics, theory, research design, methodology, sampling, and dissemination. The author explains complex concepts - such as paradigms, epistemology, and ontology - in clear, simple terms and through the use of practical, social work examples for the reader. I especially appreciated the balanced attention to quantitative and qualitative methods, including the explanation of data collection and basic analysis techniques for both. The text could benefit from the inclusion of an explanation of research design notations.

The text is accurate and unbiased. Additionally, the author effectively incorporates referenced sources, including sources one can use for further learning.

The content is relevant and timely. The author incorporates real, recent research examples that reflects the applicability of research at each level of social practice (micro, meso, and macro) throughout the text. The text will benefit from regular updates in research examples.

The text is written in a clear, approachable manner. The chapters are a reasonable length without sacrificing appropriate depth into the subject manner.

The text is consistent throughout. The author is effective in reintroducing previously explained terms from previous chapters.

The text appears easily adaptable. The instructions provided by the author on how to adapt the text for one's course are helpful to one who would like to use the text but not in its entirety. The author also provides accompanying PowerPoint presentations; these are a good foundation but will likely require tailoring based on the teaching style of the instructor.

Generally, the text flows well. However, chapter 5 (Ethics) should come earlier, preferably before chapter 3 (Reviewing & Evaluating the Literature). It is important that students understand research ethics as ethical concerns are an important aspect of evaluating the quality of research studies. Chapter 15 (Real-World Research) should also come earlier in the text, most suitably before or after chapter 7 (Design and Causality).

The interface is generally good, but I was only able to download the .pdf. The setup of the .pdf is difficult to navigate, especially if one wants to jump from chapter to chapter. This may present issues for the student reader.

The text was culturally relevant and provided diverse research and practice examples. The text could have benefited from more critical research examples, such as examples of research studies that incorporate intersectional and anti-oppressive lenses.

This text is a comprehensive introduction to research that can be easily adapted for a BSW level research course.

Reviewed by Smita Dewan, Assistant Professor, New York City College of Technology, Department of Human Services on 12/6/19

This is a very good introductory research methodology textbook for undergraduate students of social work or human services. For students who might be intimidated by social research, the text provides assurance that by learning basic concepts of... read more

Comprehensiveness rating: 4 see less

This is a very good introductory research methodology textbook for undergraduate students of social work or human services. For students who might be intimidated by social research, the text provides assurance that by learning basic concepts of research methodology, students will be better scholars and social work or human service practitioners. The content and flow of the text book supports a basic assignment of most research methodology courses which is to develop a research proposal or a research project. Each stage of research is explained well with many examples from social work practice that has the potential to keep the student engaged.

The glossary at the end of each chapter is very comprehensive but does not include the page number/s where the content is located. The glossary at the end of the book also lacks page numbers which might make it cumbersome for students seeking a quick reference.

The content is accurate and unbiased. Suggested exercises and prompts for students to engage in critical thinking and to identify biases in research that informs practice may help students understand the complexities of social research.

Content is up-to-date and concepts of research methodology presented is unlikely to be obsolete in the coming years. However, recent trends in research such as data mining, using algorithms for social policy and practice implications, privacy concerns, role of social media are topics that could be considered for inclusion in the forthcoming editions.

Content is presented very clearly for undergraduate students. Key takeaways and glossary for each section of the chapter is very useful for students.

Presentation of content, format and organization is consistent throughout the book.

Subsections within each chapter is very helpful for the students who might be assigned readings just in parts for the class.

Students would benefit from reading about research ethics right after the introductory chapter. I would also move Chapter 8 to right after the literature review which might inform creating and refining the research question. Content on evaluation research could also be moved up to follow the chapter on experimental designs. Regardless of the organization, the course instructors can assign chapters according to the course requirements.

PDF version of the book is very easy to use especially as students can save a copy on their computers and do not have to be online. Charts and tables are well presented but some of the images/photographs do not necessarily serve to enhance learning. Image attributions could be provided at the end of the chapter instead of being listed under the glossary. Students might also find it useful to be able to highlight the content and make annotations. This requires that students sign-in. Students should be able to highlight and annotate a downloaded version through Adobe Reader.

I did not find any grammatical errors.

Cultural Relevance rating: 5

Content is not insensitive or offensive in any way. Supporting examples in chapters are very diverse. Students would benefit from some examples of international research (both positive and negative examples) of protection of human subjects.

Reviewed by Jill Hoffman, Assistant Professor, Portland State University on 10/29/19

This text includes 16 chapters that cover content related to the process of conducting research. From identifying a topic and reviewing the literature, to formulating a question, designing a study, and disseminating findings, the text includes... read more

This text includes 16 chapters that cover content related to the process of conducting research. From identifying a topic and reviewing the literature, to formulating a question, designing a study, and disseminating findings, the text includes research basics that most other introductory social work research texts include. Content on ethics, theory, and to a lesser extent evaluation, single-subject design, and action research are also included. There is a glossary at the end of the text that includes information on the location of the terms. There is a practice behaviors index, but not an index in the traditional sense. If using the text electronically, search functions make it easy to find necessary information despite not having an index. If using a printed version, this would be more difficult. The text includes examples to illustrate concepts that are relevant to settings in which social workers might work. As most other introductory social work research texts, this book appears to come from a mainly positivist view. I would have appreciated more of a discussion related to power, privilege, and oppression and the role these play in the research topics that get studied and who benefits, along with anti-oppressive research. Related to evaluations, a quick mention of logic models would be helpful.

The information appears to be accurate and error free. The language in the text seems to emphasize "right/wrong" choices/decisions instead of highlighting the complexities of research and practice. Using gender-neutral pronouns would also make the language more inclusive.

Content appears to be up-to-date and relevant. Any updating would be straightforward to carry out. I found at least one link that did not work (e.g., NREPP) so if you use this text it will be important to check and make sure things are updated.

The content is clearly written, using examples to illustrate various concepts. I appreciated prompts for questions throughout each chapter in order to engage students in the content. Key terms are bolded, which helps to easily identify important points.

Information is presented in a consistent manner throughout the text.

Each chapter is divided into subsections that help with readability. It is easy to pick and choose various pieces of the text for your course if you're not using the entire thing.

There are many ways you can organize a social work research text. Personally, I prefer to talk about ethics and theory early on, so that students have this as a framework as they read about other's studies and design their own. In the case of this text, I'd put those two chapters right after chapter 1. As others have suggested, I'd also move up the content on research questions, perhaps after chapter 4.

In the online version, no significant interface issues arose. The only thing that would be helpful is to have chapter titles clearly presented when navigating through the text in the online version. For example, when you click through to a new chapter, the title simply says "6.0 Chapter introduction." In order to see the chapter title you have to click into the contents tab. Not a huge issue but could help with navigating the online version. In the pdf version, the links in the table of contents allowed me to navigate through to various sections. I did notice that some of the external links were not complete (e.g., on page 290, the URL is linked as "http://baby-").

Cultural representation in the text is similar to many other introductory social work research texts. There's more of an emphasis on white, western, cis-gendered individuals, particularly in the images. In examples, it appeared that only male/female pronouns were used.

Reviewed by Monica Roth Day, Associate Professor, Social Work, Metropolitan State University (Saint Paul, Minnesota) on 12/26/18

The book provides concrete and clear information on using research as consumers, then developing research as producers of knowledge. It provides a comprehensive review of each step to take to develop a research project from beginning to... read more

The book provides concrete and clear information on using research as consumers, then developing research as producers of knowledge. It provides a comprehensive review of each step to take to develop a research project from beginning to completion, with appropriate examples. More specific social work links would be helpful as students learn more about the field and the uses of research.

The book is accurate and communicates information and largely without bias. Numerous examples are provided from varied sources, which are then used to discuss potential for bias in research. The addition of critical race theory concepts would add to this discussion, to ground students in the importance of understanding implicit bias as researchers and ways to develop their own awareness.

The book is highly relevant. It provides historical and current examples of research which communicate concepts using accessible language that is current to social work. The text is written so that updates should be easy. Links need to be updated on a regular basis.

The book is accessible for students at it uses common language to communicate concepts while helping students build their research vocabulary. Terminology is communicate both within the text and in glossaries, and technical terms are minimally used.

The book is consistent in its use of terminology and framework. It follows a pattern of development, from consuming research to producing research. The steps are predictable and walk students through appropriate actions to take.

The book is easily readable. Each chapter is divided in sections that are easy to navigate and understand. Pictures and tables are used to support text.

Chapters are in logical order and follow a common pattern.

When reading the book online, the text was largely free of interface issues. As a PDF, there were issues with formatting. Be aware that students who may wish to download the book into a Kindle or other book reader may experience issues.

The text was grammatically correct with no misspellings.

While the book is culturally relevant, it lacks the application of critical race theory. While students will learn about bias in research, critical race theory would ground students in the importance of understanding implicit bias as researchers and ways to develop their own awareness. It would also help students understand why the background of researchers is important in relation to the ways of knowing.

Reviewed by Jennifer Wareham, Associate Professor, Wayne State University on 11/30/18

The book provides a comprehensive introduction to research methods from the perspective of the discipline of Social Work. The book borrows heavily from Amy Blackstone’s Principles of Sociological Inquiry – Qualitative and Quantitative Methods open... read more

The book provides a comprehensive introduction to research methods from the perspective of the discipline of Social Work. The book borrows heavily from Amy Blackstone’s Principles of Sociological Inquiry – Qualitative and Quantitative Methods open textbook. The book is divided into 16 chapters, covering: differences in reasoning and scientific thought, starting a research project, writing a literature review, ethics in social science research, how theory relates to research, research design, causality, measurement, sampling, survey research, experimental design, qualitative interviews and focus groups, evaluation research, and reporting research. Some of the more advanced concepts and topics are only covered at superficial level, which limits the intended population of readers to high school students, undergraduate students, or those with no background in research methods. Since the book is geared toward Social Work undergraduate students, the chapters and content address methodologies commonly used in this field, but ignore methodologies that may be more popular in other social science fields. For example, the material on qualitative methods is narrow and focuses on commonly used qualitative methods in Social Work. In addition, the chapter on evaluation is limited to a general overview of evaluation research, which could be improved with more in-depth discussion of different types of evaluation (e.g., needs assessment, evaluability assessment, process evaluation, impact/outcomes evaluation) and real-world examples of different types of evaluation implemented in Social Work. Overall, the author provides examples that are easy for practitioners in Social Work to understand, which are also easily relatable for students in similar disciplines such as criminal justice. The book provides a glossary of key terms. There is no index; however, users can search for terms using the find (Ctrl-F) function in the PDF version of the book.

Overall, the content inside this book is accurate, error-free, and unbiased. However, the content is limited to the Social Work perspective, which may be considered somewhat biased or inaccurate from the perspective of others in different disciplines.

The book describes classic examples used in most texts on social science research methods. It also includes contemporary and relevant examples. Some of the content (such as web addresses and contemporary news pieces) will need to be updated every few years. The text is written and arranged in such a way that any necessary updates should be relatively easy and straightforward to implement.

The book is written in clear and accessible prose. The book provides appropriate context for any jargon/technical terminology used. Readers from any social science discipline should be able to understand the content and context of the material presented in the book.

The framework and use of terminology in the book are consistent.

This book is highly modular. The author has even improved upon the modularity of the book from Blackstone’s open text (which serves as the basis of the present text). Each chapter is divided into short, related subsections. The design of the chapters and their subsections make it easy to divide the material into units of study across a semester or quarter of instruction.

Generally, the book is organized in a similar manner as other texts on social science research methods. However, the organization could be improved slightly. Chapters 2 through 4 describe the process of beginning a research project and conducting a literature review. Chapter 8 describes refining a research question. This chapter could be moved to follow the Chapter 4. Chapter 12 describes experimental design, while Chapter 15 provides a description and examples of evaluation research. Since evaluation research tends to rely on experimental and quasi-experimental design, this chapter should follow the experimental design chapter.

For the online version of the book, there were no interface issues. The images and charts were clear and readable. The hyperlinks to sources mentioned in the text worked. The Contents menu allowed for easy and quick access to any section of the book. For the PDF version of the book, there were interface issues. The images and charts were clear and readable. However, the URLs and hyperlinks were not active in the PDF version. Furthermore, the PDF version was not bookmarked, which made it more difficult to access specific sections of the book.

I did not find grammatical errors in the book.

Overall, the cultural relevance and sensitivity were consistent with other social science research methods texts. The author does a good job of using both female and male pronouns in the prose. While there are pictures of people of color, there could be more. Most of the pictures are of white people. Also, the context is generally U.S.-centric.

Table of Contents

• Chapter 1: Introduction to research
• Chapter 2: Beginning a research project
• Chapter 3: Reading and evaluating literature
• Chapter 4: Conducting a literature review
• Chapter 5: Ethics in social work research
• Chapter 6: Linking methods with theory
• Chapter 7: Design and causality
• Chapter 8: Creating and refining a research question
• Chapter 9: Defining and measuring concepts
• Chapter 10: Sampling
• Chapter 11: Survey research
• Chapter 12: Experimental design
• Chapter 13: Interviews and focus groups
• Chapter 14: Unobtrusive research: Qualitative and quantitative approaches
• Chapter 15: Real-world research: Evaluation, single-subjects, and action research
• Chapter 16: Reporting and reading research

Ancillary Material

• Open Social Work Education

About the Book

As an introductory textbook for social work students studying research methods, this book guides students through the process of creating a research project. Students will learn how to discover a researchable topic that is interesting to them, examine scholarly literature, formulate a proper research question, design a quantitative or qualitative study to answer their question, carry out the design, interpret quantitative or qualitative results, and disseminate their findings to a variety of audiences. Examples are drawn from the author's practice and research experience, as well as topical articles from the literature.

There are ancillary materials available for this book.  

About the Contributors

Matt DeCarlo earned his PhD in social work at Virginia Commonwealth University and is an Assistant Professor of Social Work at Radford University. He earned an MSW from George Mason University in 2010 and a BA in Psychology from the College of William and Mary in 2007. His research interests include open educational resources, self-directed Medicaid supports, and basic income. Matt is an Open Textbook Network Campus Leader for Radford University. He is the founder of Open Social Work Education, a non-profit collaborative advancing OER in social work education.

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Module 2 Chapter 2: Formulating Practice Evidence Questions

• the COPES framework for developing strong practice questions to inform the search for evidence,
• the PICO framework for developing practice questions,
• a working example where COPES was applied.

Question Formulation

The questions that drive a social worker’s search for evidence to inform practice decisions differ somewhat from the kind of questions that drive social workers to understand diverse populations, social work problems, and social phenomena. Two frameworks for helping develop questions for evidence-based practice are prevalent in the literature: COPES and PICO .

Using the COPES Framework to Formulate the Practice Question.

The COPES framework refers to engaging in a C lient O riented P ractical E vidence S earch. In this framework, the client system might be an individual client, individuals in a relationship, a family, a group, an agency or institution, a neighborhood or community, or larger social system.

Well-formulated COPES practice questions, according to Gibbs (2003) have four features:

• Client type and problem. The practitioner to specifically identifies the client system, what problem the client system experiences, and the practice context in which intervention would or could occur. This is at the heart of the  C lient O riented approach—the COPES question is central to the welfare of the client system and those whose lives are affected by the client. For example, a social worker in a hospital setting being able to address an individual’s probable alcohol use disorder is important to that person, as well as to that person’s family, friends, co-workers, and others (including the general public who share the road with this person when driving). The problem is complicated by the fact that feedback handled poorly leads to a person becoming become angry and resistant to seeking treatment for the suspected alcohol problem.
• What you might do.  This involves identifying a possible strategy for intervening around the identified practice problem. This includes whether the approach will be a specific treatment intervention, acting to prevent a problem, measuring to assess a problem, screening to assess risk, surveying clients, or engaging in some other specific action. Considering our alcohol use disorder example from step 1, the strategy might be to engage in screening for an alcohol problem and to provide feedback about the screening results using a Screening, Brief Intervention, and Referral to Treatment (SBIRT) approach—SBIRT is based on principles of screening and feedback using a motivational interviewing (MI) approach.
• Alternative course(s) of action . This involves the practitioner identifying at least one main alternative course of action for addressing the identified problem. This might possibly include doing nothing, observing and monitoring over time, or applying a specific intervention protocol. In our alcohol use disorder example, the alternative might be to monitor the problem over time if the screening result indicates a low likelihood of a substance use problem. Or, it might be to refer the individual for specialized assessment and treatment for an alcohol/substance use disorder if the screening result indicates a moderate or high likelihood of an alcohol/substance use problem.
• What you want to accomplish . This feature specifies what will be accomplished with the intervention the evidence leads you to select. In other words, what outcome(s) should be expected if the intervention is successful—defining the goal of intervening in this way. This is directly related to the P ractical aspects of the COPES question—not only does it have practical relevance to the client, it has relevance to social workers who encounter this problem with frequency in their routine practice. In our alcohol problem example, the goal would be for the person to engage in alcohol treatment if the drinking problem is serious enough or for the person to cut down on drinking if the problem does not warrant treatment but is causing problems for the person (and significant others).

Furthermore, the COPES question leads the practitioner’s  E vidence S earch. It contains information to guide the selection of key terms for an electronic search of literature and other appropriate sources of evidence. To complete our example, the COPES question could be phrased as follows:

If a person seen in the hospital setting is suspected of having an alcohol use disorder, would the SBIRT or Johnson Model Intervention be more likely to result in either becoming engaged in treatment for an alcohol use disorder (if warranted) or decreasing problematic alcohol use (if treatment is not warranted)?

Searching for evidence around this question led the social worker to support adopting an SBIRT approach within the medical/hospital setting. (The Johnson Model is similar to what you see on the television show, Intervention . The evidence does not consistently support applying this confrontational approach.)

In addition to specifying the four features of a well-constructed COPES question, Gibbs (2003) identified five general types of COPES questions:

• effectiveness
• description, and

He provided examples of each in a table with the prior four features of well-constructed COPES questions across the top and these five question types down the left side. This format (adapted from Gibbs, 2003) guides practitioners in moving toward a well-specified COPES question.

Here are examples Gibbs (2003) provided, edited for format (see originals at   http://www.evidence.brookscole.com/copse.html and http://www.evidence.brookscole.com/moredetails.html ). Note that [1]through [4]refer to each of the four features of well-formulated COPES questions running along the top of the table.

“If disoriented aged persons who reside in a nursing home [1] are given Reality Orientation Therapy [2]  or Validation Therapy [3]  which will result in better orientation to time, place, person [4] ?”

Gibbs’ (2003) second example:

“Among adult criminal offenders on probation, [1]  will a group cognitive intervention program [2] compared to no such program [3] result in a lower recidivism (re-offense) rate [4] ?”

Prevention. The prevention type of question is also an effectiveness question, but it concerns interventions intended to avoid the problem occurring rather than treat it after the fact. Gibbs’ (2003) first example:

“If sexually active high school students at high risk for pregnancy [1] are exposed to Baby-Think-It-Over [2] or to didactic material on proper use of birth control methods, [3] will the former have fewer pregnancies during an academic year and better knowledge of birth control methods? [4] ”

Gibbs’ (2003) second example is a little different from the previous examples in that the social worker does not yet know which specific intervention to search:

“Among Hmong and Asians less than sixteen years old, [1] which gang prevention program [2,3] will most effectively prevent them from joining the gang [4] ?”

A final note about the examples presented by Gibbs is warranted: these were published prior to a point in time when social work professionals were conscientiously addressing the language that we use to describe people and populations. If he were writing today, Gibbs would likely revise many of these COPES questions to eliminate labelling language (e.g., “disoriented aged persons,” “adult criminal offenders,” and “chronically mentally ill”). It is a sign of the times that we address this issue of language use at all.

Using the PICO Framework to Formulate the Practice Question.

• P atient (or client or consumer) refers to specifically identifying the characteristics of the population around which the search for evidence is directed.
• I ntervention requires specification of the interventions or other practice activities (e.g., type of assessment or clinical test, treatment, prevention, or policy) under consideration.
• C omparison is the act of comparing the intervention options identified in the prior step.
• O utcome refers to the goal or goals to be achieved by intervening.

“If an elder residing in a nursing home[1] participates in a pet therapy program[2] or attends an adult day program[3] which intervention will result in lower depression[4]? (Heltzer, n.d., p. 2)

Where COPES and PICO Questions Fit

As you may recall from our earlier course, there are two general categories of questions that practitioners might ask: background and foreground questions. COPES and PICO questions fit under the heading of foreground questions because the practitioner seeks evidence to inform professional practice decision-making. COPES and PICO questions are complex forms of foreground questions. The COPES framework was developed on the PICO structure, but designed for use in non-medical contexts (Gibbs, 2003), which explains why they appear to be so similar. The main reason for sharing the PICO framework in a social work course is because social workers often work on interdisciplinary teams with practitioners trained in medical models. Knowing how to engage in COPES prepares social workers to function with colleagues trained in PICO, and vice versa.

Working Example: Addressing High School Dropout

Here is an example of a practice question that we can follow through the next chapters. The example details steps in evidence-based practice decision-making described in a chapter by Kelly and Franklin (2011).

“…we can’t keep doing the same things we’ve been doing and expecting a new result. It’s time to make some changes in our dropout interventions…” (Kelly & Franklin, 2011, p. 141).

What are best practices for preventing student dropout from high school?

What are the outcomes of the problem? How are poor and minority youth at risk of dropping out?

“If students deemed at risk for dropping out of high school are given a specific school-based dropout intervention program or standard school-based intervention, such as counseling and academic advising, will the school-based dropout program produce better outcomes, specifically helping youths stay in school and graduate on time? (Kelly & Franklin, 2011, p. 147).

Stop and Think

Chapter Summary

Social Work 3402 Coursebook Copyright © by Dr. Audrey Begun is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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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

How Palliative Care Social Workers Support Patients With Terminal Illnesses

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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9 9. Writing your research question

Chapter outline.

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

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

9.1 Empirical vs. ethical questions

Learning objectives.

Learners will be able to…

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

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

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

Empirical vs. ethical questions

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

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

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

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

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

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

Key Takeaways

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

9.2 Characteristics of a good research question

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

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

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

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

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

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

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

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

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

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

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

9.3 Quantitative research questions

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

Quantitative descriptive questions

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

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

Quantitative explanatory questions

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

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

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

Making it more specific

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

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

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

Quantitative exploratory questions

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

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

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

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

9.4 Qualitative research questions

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

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

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

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

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

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

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

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

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

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

9.5 Evaluating and updating your research questions

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

Feasibility and importance

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

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

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

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

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

Matching your research question and study design

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

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

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

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

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

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

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

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

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

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

the group of people whose needs your study addresses

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

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

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

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

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

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• Knowledge Base
• Starting the research process
• 10 Research Question Examples to Guide Your Research Project

10 Research Question Examples to Guide your Research Project

Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.

The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.

The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.

Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.

Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.

Other interesting articles

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Cite this Scribbr article

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4.3 Quantitative research questions

Learning objectives.

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

Quantitative descriptive questions

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

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

Quantitative explanatory questions

Most studies you read in the academic literature will be quantitative and explanatory. Why is that? Explanatory research tries to build something called nomothetic causal explanations.Matthew DeCarlo says “com[ing]up with a broad, sweeping explanation that is universally true for all people” is the hallmark of nomothetic causal relationships (DeCarlo, 2018, chapter 7.2, para 5 ). They are generalizable across space and time, so they are applicable to a wide audience. The editorial board of a journal wants to make sure their content will be useful to as many people as possible, so it’s not surprising that quantitative research dominates the academic literature.

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

Let’s take a look at a few more examples of possible research questions and consider the relative strengths and weaknesses of each. Table 4.1 does just that. While reading the table, keep in mind that it only includes some of the most relevant strengths and weaknesses of each question. Certainly each question may have additional strengths and weaknesses not noted in the table.

Making it more specific

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

Table 4.2 contains some “watch words” that indicate you may need to be more specific about the concepts in your research question.

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

Quantitative exploratory questions

In exploratory research, the researcher doesn’t quite know the lay of the land yet. If someone is proposing to conduct an exploratory quantitative project, the watch words highlighted in Table 4.2 are not problematic at all. In fact, questions such as “What factors influence the removal of children in child welfare cases?” are good because they will explore a variety of factors or causes. In this question, the independent variable is less clearly written, but the dependent variable, family preservation outcomes, is quite clearly written. The inverse can also be true. If we were to ask, “What outcomes are associated with family preservation services in child welfare?”, we would have a clear independent variable, family preservation services, but an unclear dependent variable, outcomes. Because we are only conducting exploratory research on a topic, we may not have an idea of what concepts may comprise our “outcomes” or “factors.” Only after interacting with our participants will we be able to understand which concepts are important.

Key Takeaways

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

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Guidebook for Social Work Literature Reviews and Research Questions Copyright © 2020 by Rebecca Mauldin and Matthew DeCarlo is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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SOCW 553: Research Knowledge and Evidence in Clinical Social Work Practice

• Welcome! + Library Help
• Learning Outcomes
• Getting Started: Pre-Readings
• What is Evidence-Based Practice?
• What is Evidence Synthesis?
• What is a Systematic Review?
• Overview & Keeping Track
• Develop Your Research Question

Creating a Question

Types of questions, pico framework, templates for questions.

• Prepare Your Eligibility Criteria
• Select Your Databases & Journals
• Prepare Your Search Strategy
• Translate Your Search Strategy
• Run Your Searches
• Creating a Covidence Review
• Importing & De-Duplication in Covidence
• Article Screening in Covidence
• Critical Appraisal
• Data Extraction
• Write Up Your Findings

The following are example PICO(T) worksheets that you may want to use while devising your question:

• PICO(T) Worksheet 2022
• UBC General PICO Worksheet
• Duke PICO Worksheet
• University of Leeds PICO Model

The following are other online resources with examples:

• Georgetown University - Clinical Questions, PICO, & Study Designs
• Sisson, H. (n.d.). How helpful are mnemonics in the development of a research question?

An evidence synthesis relies on a  well-formulated and specific question.

• Note : you'll notice many poorly crafted systematic review questions out there - so if you plan to add to the literature, make sure you're doing so correctly.
• Scoping reviews usually use more general and open-ended questions to bring together a broader look at all of the research on a topic - they do  not  seek to gauge the effectiveness of an intervention. Their questions often seek a greater understanding of a topic, so that an effect/affect based question can be used in a future systematic review. 

For the purpose of this assignment, you'll be striving to assess an intervention - so you'll want to focus on building an effect/affect based question . The following information will help you do that. 

Goldilocks Principle

Remember to ensure that your question is not too broad and not too specific - that it is just right. Sometimes this is very challenging to do and you might need to do a few scoping searching in a database to see how much is available on a topic. For more check out the Teachers of Evidence-Based Health Care Goldilocks webpage .

For this assignment, you will not be able to use a question that only yields a handful of results in a search because you need a certain amount per group. But you also need to consider that this assignment needs to be completed in a short window of time, so your search cannot yield too many results upfront. Consult with Arielle to ensure that you're finding enough to complete your assignment. 

Matryoshka Nesting Doll Questions

Another common error is trying to address too many things in one question. Ensure your question is specific and direct in focus and does not try and address multiple intervention effects or multiple populations. 

Picking a Topic

For your assignment - pick a topic for a question that members of your group are familiar with. This is not the best project to endeavour to research something completely new to all of you - as it can be complex at times, and having some background knowledge in the area will help you in completing this - i.e. with keyword development.

Clinical Foreground Questions:

Foreground questions are used when trying to inform clinical decisions, such as those formed for systematic reviews. These questions are often looking at specific patients or populations, which is why the PICO(T) framework is used. They are often very specific or complex in comparison to background questions (i.e. questions that are routed more in general knowledge or answering an open ended question about an illness, disease, condition, process, or thing). Additionally, comparative interventions are often used in foreground questions. 

Major Categories of Questions:

Remember - you'll need to identify the type of question for your assignment. 

For further reading:

Khan, K., Kunz, R., Kleijnen, J., & Antes, G. (2011).  Systematic reviews to support evidence-based medicine: How to review and apply findings of healthcare research. Taylor & Francis.  Read chapter: Step 1 Framing Questions for a Review (pg. 9-22)

The use of the PICO(T) clinical question framework is heavily routed in evidence-based practice. Additions to the framework use other sections - making for PICO(T)(T). 

This page includes more information about the framework and example worksheets that can be used to help visualize the question. 

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Social Work Research Topics & Tips on Finding and Distinguishing Good Ones

Updated 01 Jul 2024

Social work research is the systematic investigation of problems pertaining to the social work field. Alternatively, it can be defined as the application of research methods for addressing/solving problems confronted by social workers in their practice.

Major research areas include studying concepts, theories, principles, underlying methods, employees’ skills and their interaction with individuals and groups as well as internal processes, functioning principles within social entities. For a more specific selection of social work research topics, go to the appropriate section within this article.

Social work is ultimately focused on practical application, hence, the ultimate goal of social work research is understanding the efficacy of various intervention methods aimed at alleviating the conditions of people suffering from social deprivation – this highlights the importance presented by both the field and its associated research. For such difficult topics, you may ask yourself "can I pay someone to write my research paper " - and our professional team is here to help you.

Signs of Good Research Topics

Of all social work research questions, how could one distinguish the ones holding the greatest value or potential? Considering these signs could increase the chances of picking higher quality or more productive social work topics:

• Chosen topics are backed up by one or more published studies by research teams from the US or from abroad with solid article-related citation metrics, typically published in prestigious peer-reviewed academic journals (journals with high impact factor).
• Social work research topics in question are related to practice – theoretical research is very important, but nothing beats practical knowledge and efficient practical intervention methods and strategies. However, this aspect might depend on other circumstances as well (for students, for instance, theoretical topics are fairly acceptable). To ensure a successful research proposal in the field of social work, consider utilizing research proposal writing services .
• Social work research topics are breaking certain stereotypes. People are inclined towards topics that break preconceived notions – such topics naturally receive greater attention. If they bring solid evidence and reasonable arguments while providing/promising real benefits, such topics can simply revolutionize the field.
• Chosen social work research topics match current trends. Don’t understand us wrong – not everything that is trendy deserves attention (many things are overhyped). However, trends do have a sound reason for emerging (there is normally value behind the forces driving them). Moreover, delving into a field/topic that has only been recently established often gives significant advantages (career-wise). So watch out for trends in your research field closely, but always scrutinize them for what they are worth.

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Where Can You Find Perfect Topics?

When exploring education research topics or searching for social worker research topics, it might prove useful to follow a few proven strategies (which are equally valid for many other occasions):

• Skim through your study literature (e.g. handbooks, course notes) – this is material you already studied, but going through it might help you to systematically visualize all studied topics or subtopics (these can suggest new ideas).
• Brainstorming. Access your knowledge base – chances are you have a few interesting topics stored in mind that you’d like to explore in greater detail.
• Browse through published article titles in social work journals or, even better, study newsletters/highlights on journal websites. Alternatively, one could search on platforms aggregating field-related news from multiple journals.– while some articles/topics might be overly complicated or specific, these still offer an immense choice.
• Browse online for ready research topics for a custom research paper from our  research paper writing service  – skimming through such lists would bombard you with topics of appropriate complexity and scope /broadness or would inspire new related ideas (e.g. by combining elements from different topics).

Yet another way to pick a good topic is to get research paper writing help from our professional writers – they would manage all aspects, including that of choosing an original and solid topic (obviously, you might be willing to confirm it, before proceeding with your writing project).

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100 Social Work Research Topics

Below is a comprehensive social work research topics list to help get you started with your project.

50 Controversial Research Topics

• Group therapy vs individual therapy for increasing autistic children adaptability
• Impact on parents having children with autism spectrum disorder.
• Role play vs group discussion efficiency in increasing knowledge regarding drug abuse among high-school students.
• Addressing the stigma associated with depression.
• Measures to counteract condemning stereotypes with regard to depression (explaining and highlighting the biological mechanisms underlying it)
• Identifying individuals with suicide predisposition serving in military units.
• Life events role in PTSD onset in veterans.
• Strategies to prevent PTSD onset in US army veterans.
• Social inclusion measures for war veterans.
• Most efficient strategies for suicide prevention in academic setting.
• Categories are most vulnerable to drug abuse.
• Most efficient educational measures to prevent future drug abuse in children
• Myths about substance abuse among adolescents.
• Family support importance for alcohol addicts rehabilitation.
• Workaholics – new type of addicts. Impact on personal and family lives.
• Mental retardation in Alzheimer’s disease – how to cope with it as a family member?
• Promoting integration for children with Down syndrome.
• General considerations for working with children with developmental disabilities.
• Educating society with regard to dyslexic children (all target groups could be considered: parents, classmates, teachers, etc.)
• Dyslexia cases combined with ADHD – how to approach it?
• Dismounting common myths about dyslexia.
• Counteracting bullying aimed at dyslexic children.
• Early intervention benefits to address language difficulties in case of dyslexic children.
• What role should educators, parents, schools, mental health centers, private practice have in addressing dyslexia?
• Key prerequisites for building resilience to adverse life events in children
• Strategies for building resilience in welfare workers.
• Who is responsible for developing resilience in social workers?
• Self-help guidelines for social workers to become resilient.
• Most common problems encountered by LGBT youth in US schools.
• Arming LGBT individuals with coping strategies to face discrimination.
• The situation with juvenile delinquents across various US states.
• Rationale behind separating juvenile delinquents from adult delinquents.
• Factors contributing to high youth incarceration rate in certain US states (Wyoming, Nebraska, South Dakota).
• Most efficient reeducation strategies for juvenile delinquents.
• Society inclusion measures for people that served in prison.
• Coping with the stigma of having served in prison.
• Attitudes of welfare workers towards incarcerated individuals.
• Attitudes of correctional officers towards mental health of incarcerated individuals.
• Gender differences relevance when working with incarcerated people.
• Factors increasing the risk of recidivism in released prisoners.
• Incarceration impacts on parent-child relationships.
• Incarceration effects on mental health.
• Social inclusion role and family support in preventing recidivism by former prisoners.
• Circumstances associated with the highest risk of becoming a human trafficking victim.
• Ethical rules important when working with human trafficking victims.
• Trauma characteristic depiction for human trafficking victims.
• What is considered neglecting a child in child welfare?
• Prerequisites of a safe childhood and a functional family.
• Dealing with child abuse in orphanages.
• Types of child maltreatment/abuse.

50 Hot Research Topics for Social Work Students

• Difference in approaching children vs adolescents suffering from domestic violence.
• Success stories in preventing child abuse in certain regions/states.
• Strategies to encourage women to report domestic violence cases.
• Damage to families with ongoing domestic violence.
• Healing steps for victims of domestic violence.
• Effects of child neglect on later academic performance and career.
• Removing a child from a setting – when is it justified?
• Guidelines on providing testimony in court as a social worker
• Peculiarities of social work in health care assistance.
• Grief counseling for families that lost a loved one.
• Understanding the symptoms of grief.
• Risk factors for dangerous grief.
• Conduct/communication rules with persons in grief.
• Types of elder abuse. Which are the most common ones?
• Predictors of elder abuse (related to relationships within families, financial, status).
• The integrative concept of human services.
• The utility of mentoring programs in social care.
• Work with elders experiencing cognitive impairment.
• Peculiarities of working with immigrants in social care.
• Considerations for working with HIV positive people.
• Social research topics about homeless people.
• Primary factors contributing to homelessness.
• Challenges faced by social care assistants in working with sexually exploited clients belonging to the opposite gender.
• Meeting unique needs of sexually exploited children.
• Compassion fatigue experienced by welfare worker.
• Challenges experienced by single parents and support strategies
• Problem of getting medical help when belonging to vulnerable categories
• Is there place for spirituality in welfare worker?
• Religious beliefs obstructing welfare worker.
• Support strategies for low-income families having children with impaired development.
• Retrospective views and youth opinions on foster care facilities they have gone through.
• Key wishes/demands expressed by foster care facility residents
• Strategies employed by welfare worker to avoid burnout.
• Importance of building emotional intelligence as welfare worker.
• Discussing sexual health with mentally ill or retarded clients.
• Spirituality and faith as an essential element in many addiction rehabilitation programs.
• Attitude towards older people among welfare workers.
• Factors responsible for reluctance to benefit from mental health services among certain population groups.
• Differences in working with adolescent and adult drug abusers.
• Factors affecting foster youth that impact their higher education retention rate.
• Language barrier as an obstructing factor for minorities in benefiting from mental health services.
• Cultural competence as social work research topic
• Pre and post birth assistance to surrogate mothers. Evaluating impact on mental health.
• Challenges and issues arising in families with adoptive children.
• Play therapy interventions effectiveness in school-based counseling.
• Mental health in hemodialysis patients and corresponding support strategies.
• Importance presented by recreational activities for patients with Alzheimer’s.
• Intimacy impact on the outcome of group therapy practices for alcohol addiction.
• Mental health care outcomes in pedophilia victims.
• Alternative practices in social work.

Read also: Get excellent grades with the help of online research paper maker. 

Found Topic But No Time For Writing?

We truly hope that by providing this list of social work topics for research papers we’ve addressed an important challenge many students encounter. Nevertheless, choosing suitable social work research topics is not the only challenge when having to write a paper.

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