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7.5: Survey Research (Summary)

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    309660
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    Key Takeaways

    • Survey research features the use of self-report measures on carefully selected samples. It is a flexible approach that can be used to study a wide variety of basic and applied research questions.
    • Survey research has its roots in applied social research, market research, and election polling. It has since become an important approach in many academic disciplines, including political science, sociology, public health, and, of course, psychology.
    • Survey research involves asking respondents to self-report on their own thoughts, feelings, and behaviors.
    • Most survey research is non-experimental in nature (it is used to describe variables or measure statistical relationships between variables) but surveys can also be used to measure dependent variables in true experiments.
    • Responding to a survey item is itself a complex cognitive process that involves interpreting the question, retrieving information, making a tentative judgment, putting that judgment into the required response format, and editing the response.
    • Survey responses are subject to numerous context effects due to question wording, item order, response options, and other factors. Researchers should be sensitive to such effects when constructing surveys and interpreting survey results.
    • Survey items are either open-ended or closed-ended. Open-ended items simply ask a question and allow respondents to answer in whatever way they want. Closed-ended items ask a question and provide several response options that respondents must choose from.
    • Use verbal labels instead of numerical labels although the responses can be converted to numerical data in the analyses.
    • According to the BRUSO model, questionnaire items should be brief, relevant, unambiguous, specific, and objective.
    • Survey research usually involves probability sampling, in which each member of the population has a known probability of being selected for the sample. Types of probability sampling include simple random sampling, stratified random sampling, and cluster sampling.
    • Sampling bias occurs when a sample is selected in such a way that it is not representative of the population and therefore produces inaccurate results. The most pervasive form of sampling bias is non-response bias, which occurs when people who do not respond to the survey differ in important ways from people who do respond. The best way to minimize non-response bias is to maximize the response rate by prenotifying respondents, sending them reminders, constructing questionnaires that are short and easy to complete, and offering incentives.
    • Surveys can be conducted in person, by telephone, through the mail, and on the internet. In-person interviewing has the highest response rates but is the most expensive. Mail and internet surveys are less expensive but have much lower response rates. Internet surveys are likely to become the dominant approach because of their low cost.

    Key Terms and Concepts

    SURVEY RESEARCH

    Research using questionnaires or interviews to collect data from participants.

    RESPONDENTS

    Individuals who complete surveys or questionnaires.

    CONTEXT EFFECTS

    The influence of surrounding questions or items on responses.

    ITEM-ORDER EFFECT

    Changes in responses depending on the order in which items are presented.

    OPEN-ENDED ITEMS

    Survey questions that allow participants to respond in their own words.

    CLOSED-ENDED ITEMS

    Survey questions with a fixed set of response options.

    RATING SCALE

    A response format where participants rate items on a continuum (e.g., 1 to 5).

    BRUSO METHOD

    An acronym for principles of good survey items: Brief, Relevant, Unambiguous, Specific, and Objective.

    PROBABILITY SAMPLING

    Sampling where every member of the population has a known probability of selection.

    NON-PROBABILITY SAMPLING

    Sampling where selection probabilities are unknown or unequal.

    CONVENIENCE SAMPLING

    Selecting participants based on easy availability.

    SNOWBALL SAMPLING

    Participants recruit other participants from their networks.

    QUOTA SAMPLING

    Non-random sampling to match population proportions on certain characteristics.

    SELF-SELECTION SAMPLING

    Participants volunteer themselves for the study.

    SAMPLING FRAME

    The list from which a sample is actually drawn.

    SIMPLE RANDOM SAMPLING

    Every member of the population has an equal chance of selection.

    STRATIFIED RANDOM SAMPLING

    Random sampling within each of several subgroups.

    PROPORTIONATE STRATIFIED RANDOM SAMPLING

    Stratified sampling where subgroup sample sizes match population proportions.

    DISPROPORTIONATE STRATIFIED RANDOM SAMPLING

    Stratified sampling with deliberate oversampling of some subgroups.

    CLUSTER SAMPLING

    Randomly selecting groups (clusters) and sampling within them.

    SAMPLING BIAS

    Occurs when sampling is conducted in a way such that it is not representative of the population.

    NON-RESPONSE BIAS

    When the respondents differ in a systematic way from those who choose not to respond.

    Test Your Knowledge (answers at end of section)

    1. What is the primary purpose of survey research?

    A) To manipulate variables and establish causation

    B) To measure variables and describe populations by studying representative samples

    C) To conduct experiments in natural settings

    D) To observe behavior without asking questions

    2. In the Lerner et al. (2003) study on reactions to the 9/11 terrorist attacks, some participants were primed to feel anger while others were primed to feel fear. The researchers found that those primed to feel anger perceived less risk than those primed to feel fear. This study demonstrates that:

    A) Survey research cannot be used in experimental designs

    B) Self-report measures are always unreliable for measuring emotions

    C) Surveys can be incorporated into experimental research by manipulating an independent variable and measuring its effect on survey responses

    D) Only non-experimental survey research produces valid results

    3. Which of the following is an example of a double-barreled question that should be avoided in survey construction?

    A) How satisfied are you with your job?

    B) Do you support increased funding for education and healthcare?

    C) What is your age?

    D) How often do you exercise?

    4. A researcher asks college students 'How many alcoholic drinks do you consume in a typical day?' with response options ranging from 'a lot more than average' to 'a lot fewer than average.' According to the cognitive model of survey responding, what multiple problems does this question pose for respondents?

    A) The question is too brief and uses technical language

    B) Respondents must interpret ambiguous terms (e.g., 'alcoholic drinks,' 'typical day'), retrieve relevant information from memory, make calculations, and then map their answer onto vague response options like 'average'

    C) The question violates the BRUSO model by being too objective

    D) The response options are mutually exclusive and exhaustive, which confuses respondents

    5. What is a key advantage of online/internet surveys compared to mail surveys?

    A) Higher response rates

    B) Lower cost and faster data collection with features like skip logic and randomization

    C) Better for reaching elderly populations

    D) More personal connection with respondents

    6. Why did the 1936 Literary Digest poll incorrectly predict that Alf Landon would defeat Franklin Roosevelt in a landslide, while George Gallup correctly predicted Roosevelt's victory using a much smaller sample?

    A) Literary Digest used probability sampling while Gallup used convenience sampling

    B) Literary Digest's sample suffered from sampling bias because their mailing lists over-represented wealthier people who were more likely to vote for Landon

    C) Gallup's sample was larger and therefore more accurate

    D) Literary Digest experienced non-response bias while Gallup did not

    Answer Key

    1. B - To measure variables and describe populations by studying representative samples

    Survey research aims to describe the characteristics, attitudes, or behaviors of populations by asking questions of representative samples. Surveys measure variables as they naturally occur (no manipulation), making them a form of non-experimental research. The goal is to describe populations accurately through systematic data collection from samples.

    2. C - Surveys can be incorporated into experimental research by manipulating an independent variable and measuring its effect on survey responses

    This study exemplifies how surveys can be used within experimental research. The researchers manipulated an independent variable (anger priming vs. fear priming) and measured its effect on a dependent variable (risk judgments) using self-report survey measures. While most survey research is non-experimental, the use of self-report measures and large samples can be combined with experimental manipulation, as this study demonstrates. This challenges the misconception that surveys are only for non-experimental research.

    3. B - Do you support increased funding for education and healthcare?

    Option B is double-barreled because it asks about TWO different issues (education and healthcare) in a single question. Respondents might support one but not the other, making it impossible to answer accurately. Good survey questions should ask about only one thing at a time. Each issue should be addressed in separate questions to get clear, interpretable responses.

    4. B - Respondents must interpret ambiguous terms (e.g., 'alcoholic drinks,' 'typical day'), retrieve relevant information from memory, make calculations, and then map their answer onto vague response options like 'average'

    This question exemplifies the complexity of the cognitive processes involved in survey responding. Respondents must: (1) interpret what counts as 'alcoholic drinks' (beer? wine?) and what constitutes a 'typical day' (weekday? weekend?), (2) retrieve relevant information from memory, (3) perform mental calculations (perhaps dividing weekly drinks by seven), (4) decide what 'average' means, and (5) map their answer onto vague response categories. A seemingly simple question can involve complex interpretation, retrieval, judgment, formatting, and editing processes. The response options are also problematic because they're not based on actual quantities and require respondents to know what 'average' is.

    5. B - Lower cost and faster data collection with features like skip logic and randomization

    Online surveys offer significant advantages: very low cost, rapid data collection, easy distribution, and advanced features like skip logic (branching), automatic randomization of question order, and immediate data entry. While response rates can vary and some populations (elderly, those without internet access) may be harder to reach, the cost-effectiveness and technological capabilities make online surveys increasingly popular.

    6. B - Literary Digest's sample suffered from sampling bias because their mailing lists over-represented wealthier people who were more likely to vote for Landon

    The Literary Digest sent ballots to millions of Americans using mailing lists from telephone directories and automobile registration lists. This created severe sampling bias because in 1936, only wealthier people owned phones and cars, and wealthier people were more likely to vote Republican (for Landon). Their huge sample size didn't overcome the fundamental problem that the sample wasn't representative of the voting population. Gallup used scientific sampling methods with a much smaller sample to ensure his sample was representative of all voters, not just wealthy ones. This watershed event demonstrated that careful survey methodology with representative samples is far more important than large sample sizes alone. It shows how sampling bias occurs when a sample is selected in a way that makes it unrepresentative of the population.

    References

    Buhrmester, M., Kwang, T., & Gosling, S.D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high quality, data? Perspectives on Psychological Science, 6(1), 3-5.

    Chang, L., & Krosnick, J.A. (2003). Measuring the frequency of regular behaviors: Comparing the ‘typical week’ to the ‘past week’. Sociological Methodology, 33, 55-80.

    Converse, J. M. (1987). Survey research in the United States: Roots and emergence, 1890–1960. Berkeley, CA: University of California Press.

    Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. American Psychologist, 59(2), 93-104.

    Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2004). Survey methodology. Hoboken, NJ: Wiley.

    Krosnick, J.A. & Berent, M.K. (1993). Comparisons of party identification and policy preferences: The impact of survey question format. American Journal of Political Science, 27(3), 941-964.

    Lahaut, V. M. H. C. J., Jansen, H. A. M., van de Mheen, D., & Garretsen, H. F. L. (2002). Non-response bias in a sample survey on alcohol consumption. Alcohol and Alcoholism, 37, 256–260.

    Lerner, J. S., Gonzalez, R. M., Small, D. A., & Fischhoff, B. (2003). Effects of fear and anger on perceived risks of terrorism: A national field experiment. Psychological Science, 14, 144–150.

    Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55.

    Miller, J.M. & Krosnick, J.A. (1998). The impact of candidate name order on election outcomes. Public Opinion Quarterly, 62(3), 291-330.

    Natala@aws. (2011, January 26). Re: MTurk CENSUS: About how many workers were on Mechanical Turk in 2010? Message posted to Amazon Web Services Discussion Forums. Retrieved from forums.aws.amazon.com/thread.jspa?threadID=58891

    Peterson, R. A. (2000). Constructing effective questionnaires. Thousand Oaks, CA: Sage.

    Schwarz, N., & Strack, F. (1990). Context effects in attitude surveys: Applying cognitive theory to social research. In W. Stroebe & M. Hewstone (Eds.), European review of social psychology (Vol. 2, pp. 31–50). Chichester, UK: Wiley.

    Schwarz, N. (1999). Self-reports: How the questions shape the answers. American Psychologist, 54, 93–105.

    Strack, F., Martin, L. L., & Schwarz, N. (1988). Priming and communication: The social determinants of information use in judgments of life satisfaction. European Journal of Social Psychology, 18, 429–442.

    Sudman, S., Bradburn, N. M., & Schwarz, N. (1996). Thinking about answers: The application of cognitive processes to survey methodology. San Francisco, CA: Jossey-Bass.

    Exercises
    • Discussion: Think of a question that each of the following professionals might try to answer using survey research.
      • a social psychologist
      • an educational researcher
      • a market researcher who works for a supermarket chain
      • the mayor of a large city
      • the head of a university police force
    • Discussion: Write a survey item and then write a short description of how someone might respond to that item based on the cognitive model of survey responding (or choose any item on the Rosenberg Self-Esteem Scale at http://www.bsos.umd.edu/socy/research/rosenberg.htm ).
    • Practice: Write survey items for each of the following general questions. In some cases, a series of items, rather than a single item, might be necessary.
      • How much does the respondent use Facebook?
      • How much exercise does the respondent get?
      • How likely does the respondent think it is that the incumbent will be re-elected in the next presidential election?
      • To what extent does the respondent experience “road rage”?
    • Discussion: If possible, identify an appropriate sampling frame for each of the following populations. If there is no appropriate sampling frame, explain why.
      • students at a particular university
      • adults living in the state of Washington
      • households in Pullman, Washington
      • people with low self-esteem
    • Practice: Use one of the online survey creation tools to create a 10-item survey questionnaire on a topic of your choice.

    This page titled 7.5: Survey Research (Summary) is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Rajiv S. Jhangiani, I-Chant A. Chiang, Carrie Cuttler, & Dana C. Leighton via source content that was edited to the style and standards of the LibreTexts platform.