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Measuring Drug and Alcohol Use Among College Student-Athletes

Author

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  • James N. Druckman
  • Mauro Gilli
  • Samara Klar
  • Joshua Robison

Abstract

type="main"> Few issues in athletics today receive more attention than drug and alcohol usage, especially when it comes to college athletics. We seek to address self-report biases related to drug usage and heavy drinking. We employ an experimental measurement technique. Our results suggest that a greater percentage of student-athletes from a major conference knowingly engage in these two behaviors than self-reports indicate. Specifically, we find 37 percent of respondents seem to have taken banned performance-enhancing drugs (compared to 4.9 percent who directly admit to doing so when asked), and 46 percent seem to have consumed more than five drinks in a week (compared to about 3 percent who openly admit to doing so). We provide evidence for the extent of self-underreporting when it comes to drug and alcohol usage among college athletes. That said, future work is needed to accurately pinpoint specific substances and the frequency with which they are taken; for example, it could be the percentage of individuals using banned substances stems from consuming significant concentrations of caffeine (e.g., multiple cups of coffee).

Suggested Citation

  • James N. Druckman & Mauro Gilli & Samara Klar & Joshua Robison, 2015. "Measuring Drug and Alcohol Use Among College Student-Athletes," Social Science Quarterly, Southwestern Social Science Association, vol. 96(2), pages 369-380, June.
    • Handle: RePEc:bla:socsci:v:96:y:2015:i:2:p:369-380
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    File URL: http://hdl.handle.net/10.1111/ssqu.12135
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    References listed on IDEAS

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    1. Katherine B. Coffman & Lucas C. Coffman & Keith M. Marzilli Ericson, 2017. "The Size of the LGBT Population and the Magnitude of Antigay Sentiment Are Substantially Underestimated," Management Science, INFORMS, vol. 63(10), pages 3168-3186, October.
    2. Blair, Graeme & Imai, Kosuke, 2012. "Statistical Analysis of List Experiments," Political Analysis, Cambridge University Press, vol. 20(1), pages 47-77, January.
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    Cited by:

    1. Jiayuan Li & Wim Van den Noortgate, 2022. "A Meta-analysis of the Relative Effectiveness of the Item Count Technique Compared to Direct Questioning," Sociological Methods & Research, , vol. 51(2), pages 760-799, May.

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