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Information and Credible Sanctions in Curbing Online Cheating Among Undergraduates: a Field Experiment

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  • Daniel L. Dench
  • Theodore J. Joyce

Abstract

The rapid increase in online instruction in higher education has heightened concerns about cheating. We use a randomized control design to test whether informing students that we can detect plagiarism reduces cheating. We further test whether informing students they have been caught cheating reduces subsequent cheating. We find informing students about our capability to detect plagiarism has little effect on cheating. Notifying students that they have been caught cheating and are on a watch list reduces subsequent cheating attempts by at least 65 percent depending on the class and sample. We test for peer effects but conclude we cannot credibly identify peer effects distinct from own-cheating propensities.

Suggested Citation

  • Daniel L. Dench & Theodore J. Joyce, 2022. "Information and Credible Sanctions in Curbing Online Cheating Among Undergraduates: a Field Experiment," NBER Working Papers 29755, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29755
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    1. Scott E. Carrell & Frederick V. Malmstrom & James E. West, 2008. "Peer Effects in Academic Cheating," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    2. Oskar R. Harmon & James Lambrinos, 2008. "Are Online Exams an Invitation to Cheat?," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(2), pages 116-125, April.
    3. Edward L. Glaeser & Bruce I. Sacerdote & Jose A. Scheinkman, 2003. "The Social Multiplier," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 345-353, 04/05.
    4. Thomas S. Dee & Brian A. Jacob, 2012. "Rational Ignorance in Education: A Field Experiment in Student Plagiarism," Journal of Human Resources, University of Wisconsin Press, vol. 47(2), pages 397-434.
    5. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    6. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2013. "From Natural Variation to Optimal Policy? The Importance of Endogenous Peer Group Formation," Econometrica, Econometric Society, vol. 81(3), pages 855-882, May.
    7. Vazquez, Jose J. & Chiang, Eric P. & Sarmiento-Barbieri, Ignacio, 2021. "Can we stay one step ahead of cheaters? A field experiment in proctoring online open book exams," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    8. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    9. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    10. Donald L. McCabe & Linda Klebe Trevino & Kenneth D. Butterfield, 2001. "Dishonesty in Academic Environments," The Journal of Higher Education, Taylor & Francis Journals, vol. 72(1), pages 29-45, January.
    11. Lori G. Power, 2009. "University Students' Perceptions of Plagiarism," The Journal of Higher Education, Taylor & Francis Journals, vol. 80(6), pages 643-662, November.
    12. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
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    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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