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Scientific Inquiry in Social Work: 11.2 Strengths and weaknesses of survey research

Scientific Inquiry in Social Work
11.2 Strengths and weaknesses of survey research
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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

11.2 Strengths and weaknesses of survey research

Learning Objectives

  • Identify and explain the strengths of survey research
  • Identify and explain the weaknesses of survey research

Survey research, as with all methods of data collection, comes with both strengths and weaknesses. We’ll examine both in this section.

Strengths of survey methods

 Researchers employing survey methods to collect data enjoy a number of benefits. First, surveys are an excellent way to gather lots of information from many people. In a study of older people’s experiences in the workplace, researchers were able to mail a written questionnaire to around 500 people who lived throughout the state of Maine at a cost of just over $1,000. This cost included printing copies of a seven-page survey, printing a cover letter, addressing and stuffing envelopes, mailing the survey, and buying return postage for the survey. I realize that $1,000 is nothing to sneeze at, but just imagine what it might have cost to visit each of those people individually to interview them in person. You would have to dedicate a few weeks of your life at least, drive around the state, and pay for meals and lodging to interview each person individually. We could double, triple, or even quadruple our costs pretty quickly by opting for an in-person method of data collection over a mailed survey. Thus, surveys are relatively cost-effective.

a cartoon of a person choosing between a happy, neutral, and sad face

Related to the benefit of cost-effectiveness is a survey’s potential for generalizability. Because surveys allow researchers to collect data from very large samples for a relatively low cost, survey methods lend themselves to probability sampling techniques, which we discussed in Chapter 10. Of all the data collection methods described in this textbook, survey research is probably the best method to use when one hopes to gain a representative picture of the attitudes and characteristics of a large group.

Survey research also tends to be a reliable method of inquiry. This is because surveys are standardized in that the same questions, phrased in exactly the same way, are posed to participants. Other methods, such as qualitative interviewing, which we’ll learn about in Chapter 13, do not offer the same consistency that a quantitative survey offers. This is not to say that all surveys are always reliable. A poorly phrased question can cause respondents to interpret its meaning differently, which can reduce that question’s reliability. Assuming well-constructed questions and survey design, one strength of this methodology is its potential to produce reliable results.

The versatility of survey research is also an asset. Surveys are used by all kinds of people in all kinds of professions. The versatility offered by survey research means that understanding how to construct and administer surveys is a useful skill to have for all kinds of jobs. Lawyers might use surveys in their efforts to select juries, social service and other organizations (e.g., churches, clubs, fundraising groups, activist groups) use them to evaluate the effectiveness of their efforts, businesses use them to learn how to market their products, governments use them to understand community opinions and needs, and politicians and media outlets use surveys to understand their constituencies.

In sum, the following are benefits of survey research:

  • Cost-effectiveness
  • Generalizability
  • Reliability
  • Versatility

Weaknesses of survey methods

As with all methods of data collection, survey research also comes with a few drawbacks. First, while one might argue that surveys are flexible in the sense that we can ask any number of questions on any number of topics in them, the fact that the survey researcher is generally stuck with a single instrument for collecting data, the questionnaire. Surveys are in many ways rather inflexible. Let’s say you mail a survey out to 1,000 people and then discover, as responses start coming in, that your phrasing on a particular question seems to be confusing a number of respondents. At this stage, it’s too late for a do-over or to change the question for the respondents who haven’t yet returned their surveys. When conducting in-depth interviews, on the other hand, a researcher can provide respondents further explanation if they’re confused by a question and can tweak their questions as they learn more about how respondents seem to understand them.

Depth can also be a problem with surveys. Survey questions are standardized; thus, it can be difficult to ask anything other than very general questions that a broad range of people will understand. Because of this, survey results may not be as valid as results obtained using methods of data collection that allow a researcher to more comprehensively examine whatever topic is being studied. Let’s say, for example, that you want to learn something about voters’ willingness to elect an African American president, as in our opening example in this chapter. General Social Survey respondents were asked, “If your party nominated an African American for president, would you vote for him if he were qualified for the job?” Respondents were then asked to respond either yes or no to the question. But what if someone’s opinion was more complex than could be answered with a simple yes or no? What if, for example, a person was willing to vote for an African American woman but not an African American man? [1]

In sum, potential drawbacks to survey research include the following:

  • Inflexibility
  • Lack of depth

Key Takeaways

  • Strengths of survey research include its cost effectiveness, generalizability, reliability, and versatility.
  • Weaknesses of survey research include inflexibility and issues with depth.

Image attributions

experience by mohamed_hassan CC-0


  1. I am not at all suggesting that such a perspective makes any sense. ↵

Annotate

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11.3 Types of surveys
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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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