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2 results

  • 2 - Using Survey Data to Study Policy Support

  • James N. Druckman, Northwestern University, Illinois, Elizabeth A. Sharrow, University of Massachusetts, Amherst
  • Book:
    Equality Unfulfilled
    Published online:
    06 July 2023
    Print publication:
    20 July 2023, pp 47-66

  • Summary

    We offer details of our empirical approach. Our method involved multiple distinct representative surveys of key college athletic stakeholders (i.e., student-athletes, coaches, athletic administrators, and the American public including nonfans and fans). Our surveys measure opinions on a set of gender equity policy proposals (e.g., equal spending, requiring schools to interview at least one woman for athletic director jobs, etc.). We also include an exercise that requires respondents to confront inevitable policy tradeoffs. Respondents are asked to allocate a fixed budget to fund gender equity initiatives or benefit initiatives (e.g., paying college student-athletes versus guaranteed scholarships). Our measures allow us to explore the empirical evidence for our argument while making generalizable statements about the relevant stakeholders. The chapter provides details of our measurement approach and samples, as well as how we connect our theory to our analyses. Our data allow us to excavate important dynamics within and across group that have interests in college athletics.

  • Chapter twenty-one - Multilevel and Longitudinal Modeling

  • from Part three - Data Analytic Strategies
  • Edited by Harry T. Reis, University of Rochester, New York, Charles M. Judd, University of Colorado Boulder
  • Book:
    Handbook of Research Methods in Social and Personality Psychology
    Published online:
    05 June 2014
    Print publication:
    24 February 2014, pp 571-588

  • Summary

    This chapter reviews high points of survey methodology literature. It outlines more specifically why survey research may be valuable to social psychologists. The chapter explains the utility of various study designs. It also reviews several standard designs, including cross-sectional, repeated cross-sectional, panel and mixed designs, and discusses when each is appropriate for social psychological investigation. It describes the basics of survey sampling and questionnaire design. The chapter also explains a number of sampling methods and discusses their strengths and weaknesses. It further describes the optimal procedures for data collection. The survey research process culminates in the field period, during which the data are collected, and the careful execution of this final step is critical to success. The chapter provides considerations relevant to data collection mode (face-to-face, telephone, and self-administered) and interviewer selection, training, and supervision.