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Catching Cheating Students

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  • Ming‐Jen Lin
  • Steven D. Levitt

Abstract

We develop a simple algorithm for detecting exam cheating between students who copy off one another's exams. When this algorithm is applied to exams in a general science course at a top university, we find strong evidence of cheating by at least 10% of the students. Students studying together cannot explain our findings. Matching incorrect answers proves to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears.

Suggested Citation

  • Ming‐Jen Lin & Steven D. Levitt, 2020. "Catching Cheating Students," Economica, London School of Economics and Political Science, vol. 87(348), pages 885-900, October.
  • Handle: RePEc:bla:econom:v:87:y:2020:i:348:p:885-900
    DOI: 10.1111/ecca.12331
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    References listed on IDEAS

    as
    1. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    2. George Wesolowsky, 2000. "Detecting excessive similarity in answers on multiple choice exams," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(7), pages 909-921.
    3. Eric Zitzewitz, 2012. "Forensic Economics," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 731-769, September.
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    Cited by:

    1. Le Maux, Benoît & Necker, Sarah, 2023. "Honesty nudges: Effect varies with content but not with timing," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 433-456.
    2. Kelum A. A. Gamage & Roshan G. G. R. Pradeep & Erandika K. de Silva, 2022. "Rethinking Assessment: The Future of Examinations in Higher Education," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    3. Erich Battistin, 2016. "How manipulating test scores affects school accountability and student achievement," IZA World of Labor, Institute of Labor Economics (IZA), pages 295-295, September.

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    More about this item

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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