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Scientific Inquiry in Social Work: 8.6 Matching question and design

Scientific Inquiry in Social Work
8.6 Matching question and design
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Notes

table of contents
  1. Cover
  2. Title Page
  3. Copyright
  4. Table Of Contents
  5. Student and Instructor Resources
  6. Copyright Information
  7. Acknowledgements and Contributors
  8. Version Information
  9. 1. Introduction to research
    1. 1.0 Chapter introduction
    2. 1.1 How do social workers know what to do?
    3. 1.2 Science and social work
    4. 1.3 Why should we care?
    5. 1.4 Understanding research
  10. 2. Beginning a research project
    1. 2.0 Chapter introduction
    2. 2.1 Getting started
    3. 2.2 Sources of information
    4. 2.3 Finding literature
  11. 3. Reading and evaluating literature
    1. 3.0 Chapter introduction
    2. 3.1 Reading an empirical journal article
    3. 3.2 Evaluating sources
    4. 3.3 Refining your question
  12. 4. Conducting a literature review
    1. 4.0 Chapter introduction
    2. 4.1 What is a literature review?
    3. 4.2 Synthesizing literature
    4. 4.3 Writing the literature review
  13. 5. Ethics in social work research
    1. 5.0 Chapter introduction
    2. 5.1 Research on humans
    3. 5.2 Specific ethical issues to consider
    4. 5.3 Ethics at micro, meso, and macro levels
    5. 5.4 The practice of science versus the uses of science
  14. 6. Linking methods with theory
    1. 6.0 Chapter introduction
    2. 6.1 Micro, meso, and macro approaches
    3. 6.2 Paradigms, theories, and how they shape a researcher’s approach
    4. 6.3 Inductive and deductive reasoning
  15. 7. Design and causality
    1. 7.0 Chapter introduction
    2. 7.1 Types of research
    3. 7.2 Causal relationships
    4. 7.3 Unit of analysis and unit of observation
    5. 7.4 Mixed Methods
  16. 8. Creating and refining a research question
    1. 8.0 Chapter introduction
    2. 8.1 Empirical versus ethical questions
    3. 8.2 Writing a good research question
    4. 8.3 Quantitative research questions
    5. 8.4 Qualitative research questions
    6. 8.5 Feasibility and importance
    7. 8.6 Matching question and design
  17. 9. Defining and measuring concepts
    1. 9.0 Chapter introduction
    2. 9.1 Measurement
    3. 9.2 Conceptualization
    4. 9.3 Operationalization
    5. 9.4 Measurement quality
    6. 9.5 Complexities in quantitative measurement
  18. 10. Sampling
    1. 10.0 Chapter introduction
    2. 10.1 Basic concepts of sampling
    3. 10.2 Sampling in qualitative research
    4. 10.3 Sampling in quantitative research
    5. 10.4 A word of caution: Questions to ask about samples
  19. 11. Survey research
    1. 11.0 Chapter introduction
    2. 11.1 Survey research: What is it and when should it be used?
    3. 11.2 Strengths and weaknesses of survey research
    4. 11.3 Types of surveys
    5. 11.4 Designing effective questions and questionnaires
  20. 12. Experimental design
    1. 12.0 Chapter introduction
    2. 12.1 Experimental design: What is it and when should it be used?
    3. 12.2 Pre-experimental and quasi-experimental design
    4. 12.3 The logic of experimental design
    5. 12.4 Analyzing quantitative data
  21. 13. Interviews and focus groups
    1. 13.0 Chapter introduction
    2. 13.1 Interview research: What is it and when should it be used?
    3. 13.2 Qualitative interview techniques
    4. 13.3 Issues to consider for all interview types
    5. 13.4 Focus groups
    6. 13.5 Analyzing qualitative data
  22. 14. Unobtrusive research
    1. 14.0 Chapter introduction
    2. 14.1 Unobtrusive research: What is it and when should it be used?
    3. 14.2 Strengths and weaknesses of unobtrusive research
    4. 14.3 Unobtrusive data collected by you
    5. 14.4 Secondary data analysis
    6. 14.5 Reliability in unobtrusive research
  23. 15. Real-world research
    1. 15.0 Chapter introduction
    2. 15.1 Evaluation research
    3. 15.2 Single-subjects design
    4. 15.3 Action research
  24. 16. Reporting research
    1. 16.0 Chapter introduction
    2. 16.1 What to share and why we share
    3. 16.2 Disseminating your findings
    4. 16.3 The uniqueness of the social work perspective on science
  25. Glossary
  26. Practice behavior index
  27. Attributions index

8.6 Matching question and design

Learning Objectives

  • Identify which research designs may be useful for answering your research question

This chapter described how to create a good quantitative and qualitative research question. Starting in Chapter 10, we will detail some of the basic designs that social scientists use to answer their research questions. But which design should you choose?

a chalkboard with "what's next?" written on it

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 phone
  • Focus groups
  • Historical analysis
  • Content analysis
  • Secondary data analysis
  • Program evaluation
  • Single-subjects
  • Action research

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.

If you think about your project, I imagine that a content analysis probably seems easier to accomplish than an experiment. 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. For example, photovoice is a qualitative method in which participants take photographs of meaningful scenes in their lives and discuss them in focus groups. This qualitative method can be particularly impactful, as pictures can illustrate the meaning behind concepts often better than mere words. I encourage you through your undergraduate and graduate studies in social work to come to know more advanced and specialized designs. The purpose of the subsequent chapters is to help you understand the basic designs upon which these more advanced designs are built.

Key Takeaways

  • The design you choose should follow from the research question you ask.
  • Research design will determine what the researchers and participants do during the project.

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Copyright © 2018 by Matthew DeCarlo. Scientific Inquiry in Social Work by Matthew DeCarlo is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.
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