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Refining Your Research Question

Once you have selected your topic area and reviewed literature related to it, you may need to narrow it down to something that can be realistically researched and answered. Previously, we learned about asking who, what, when, where, why, and how questions. As you read more about your topic area, the focus of your inquiry should become more specific and clearer. As a result, you might begin to ask questions that describe a phenomenon, compare one phenomenon with another, or probe the relationship between two concepts.

You might begin by asking a series of PICO questions. Although the PICO method is used primarily in the health sciences, it can also be useful for narrowing/refining a research question in the social sciences.  A way to formulate an answerable question using the PICO model could look something like this:

  • Patient, population or problem: What are the characteristics of the patient or population? (e.g., gender, age, other demographics) What is the social problem or diagnosis you are interested in? (e.g., poverty or substance use disorder)
  • Intervention or exposure: What do you want to do with the patient, person, or population (e.g., treat, diagnose, observe)? For example, you may want to observe a client’s behavior or a reaction to a specific type of treatment.
  • Comparison: What is the alternative to the intervention? (e.g., other therapeutic interventions, programs, or policies) For example, how does a sample group that is assigned to mandatory rehabilitation compare to a sample group assigned to an intervention that builds motivation to enter treatment voluntarily?
  • Outcome: What are the relevant outcomes? (e.g., academic achievement, healthy relationships, shame) For example, how does recognizing triggers for trauma flashbacks impact the target population?

Some examples of how the PICO method is used to refine a research question include:

  • “Can music therapy improve communication skills in students diagnosed with autism spectrum disorder?”
    • Population (autistic students)
    • Intervention (music therapy)
  • “How effective are antidepressant medications in reducing symptoms of anxiety and depression?”
    • Population (clients with anxiety and depression)
    • Intervention (antidepressants)
  • “How does race impact help-seeking behaviors for students with mental health diagnoses?
    • Population (students with mental health diagnoses, students of minority races)
    • Comparison (students of different races)
    • Outcome (seeking help for mental health issues)

Another mnemonic technique used in the social sciences for narrowing a topic is SPICE. An example of how SPICE factors can be used to develop a research question is given below:

Setting – for example, a college campus
Perspective – for example, college students
Intervention – for example, text message reminders
Comparisons – for example, telephone message re minders
Evaluation – for example, number of cigarettes used after text message reminder compared to the number of cigarettes used after a telephone reminder

Developing a concept map

Likewise, developing a concept map or mind map around your topic may help you analyze your question and determine more precisely what you want to research. Using this technique, start with the broad topic, issue, or problem, and begin writing down all the words, phrases and ideas related to that topic that come to mind and then ‘map’ them to the original idea.

Concept mapping aims to improve the “description of the breadth and depth of literature in a domain of inquiry. It also facilitates identification of the number and nature of studies underpinning mapped relationships among concepts, thus laying the groundwork for systematic research reviews and meta-analyses” (Lesley et al., 2002, p. 229). Its purpose, like the other methods of question refining, is to help you organize, prioritize, and integrate material into a workable research area; one that is interesting, answerable, feasible, objective, scholarly, original, and clear.

The process of concept mapping is beneficial when you begin your own literature review, as it will help you to come up with keywords and concepts related to your topic. Concept mapping can also be helpful when creating a topical outline or drafting your literature review, as it demonstrates the important of each concept and sub-concepts as well as the relationships between each concept.

For example, perhaps your initial idea or interest is how to prevent obesity. After an initial search of the relevant literature, you realize the topic of obesity is too broad to adequately cover in the time you have to do your literature review. You decide to narrow your focus to causes of childhood obesity. Using PICO factors, you further narrow your search to the influence of family factors on overweight children. A potential research question might then be “What maternal factors are associated with toddler obesity in the United States?” You’re now ready to begin searching the literature for studies, reports, cases, and other information sources that relate to this question.

Similarly, for a broad topic like school performance or grades, and after an initial literature search that provides some variables, examples of a narrow research question might be:

  • “To what extent does parental involvement in children’s education relate to school performance over the course of the early grades?”
  • “Do parental involvement levels differ by family, social, demographic, and contextual characteristics?”
  • “What forms of parent involvement are most highly correlated with children’s outcomes? What factors might influence the extent of parental involvement?” (Early Childhood Longitudinal Program, 2011).

In either case, your literature search, working question, and understanding of the topic are constantly changing as your knowledge of the topic deepens. Conducting a literature review is an iterative process, as it stops, starts, and loops back on itself multiple times before completion. As research is a practice behavior of social workers, you should apply the same type of critical reflection to your inquiry as you would to your clinical or macro practice.

Let’s break it down

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Concept Mapping

Concept mapping is a visual and organizational tool used to help researchers better understand the scope and structure of existing literature within a specific area of study. It works by mapping out the relationships among key concepts found in the literature, allowing you to see both the breadth (range of topics) and depth (level of detail or evidence) in a field.

In really simply terms,

Concept mapping is a way to organize your ideas using a picture or diagram. It helps you see how different topics and ideas are connected in the research you’re reading.

It shows you how much research has been done on each idea and where more research is needed.

Beyond literature organization, concept mapping helps you refine your research focus. It supports the development of a research question that is:

  • Interesting

  • Answerable

  • Feasible

  • Objective

  • Scholarly

  • Original

  • Clear

Concept mapping helps you prioritize and structure your thinking, guiding you toward a focused and well-supported research topic.

Examples

During graduate school, I had a professor named Dr. Henry who introduced me to a tool that completely changed the way I approached research: concept mapping. At the time, I was deep into my dissertation planning, swimming in variables, theories, and possible connections. I had a clear passion for my topic—but no clear map of how all the pieces fit together.

Enter concept mapping.

Dr. Henry opened my eyes to the power of putting ideas down on paper (or a whiteboard, or sticky notes—whatever works!) and visually organizing the relationships between them. For someone like me, who was juggling multiple constructs and research questions, concept mapping was a life saver. It helped me see patterns, clarify gaps, and refine my focus. What once felt like a tangle of ideas slowly became a structured, manageable framework for my study. The concept map figure I’ve included here shows just how many variables I was working with—and how overwhelming it would have been to make sense of them without this tool. Seeing it laid out visually helped me move from confusion to clarity. For someone like me, who was juggling multiple constructs and research questions, concept mapping was a life saver. It helped me see patterns, clarify gaps, and refine my focus. What once felt like a tangle of ideas slowly became a structured, manageable framework for my study.

Here’s what I want students to take from this: Don’t underestimate the value of stepping back and looking at your research visually. Concept mapping isn’t just for brainstorming—it’s a strategic tool that can help you organize literature, define variables, and even shape your research questions. If you’re feeling overwhelmed, try mapping it out. It just might save your sanity—and give your research the clarity and direction it needs.

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Can I use AI for that?

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Guided by You, Supported by AI: Crafting Better Research Questions

AI is a valuable tool for refining your research question. I want to share some information that may help you better understand how AI can assist in this process. I believe this will be beneficial in demonstrating how AI can enhance the clarity and focus of your research question. Using Generative AI ~Responsibly~ for Brainstorming and Refining a Research Question (Hood, 2024).

 

Early Childhood Longitudinal Program. (2011). Example research questionshttps://nces.ed.gov/ecls/researchquestions2011.asp

Hood, S. (2024). Using Generative AI responsibly for brainstorming and refining a research question | ACRL Framework for Information Literacy Sandboxhttps://sandbox.acrl.org/resources/using-generative-ai-responsibly-brainstorming-and-refining-research-question

Leslie, M., Floyd, J., & Oermann, M. (2002). Use of MindMapper software for research domain mapping. Computers, informatics, nursing, 20(6), 229-235.

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