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Detecting excessive similarity in answers on multiple choice exams

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  • George Wesolowsky

Abstract

This paper provides a simple and robust method for detecting cheating. Unlike some methods, non-cheating behaviour and not cheating behaviour is modelled because this requires the fewest assumptions. The main concern is the prevention of false accusations. The model is suitable for screening large classes and the results are simple to interpret. Simulation and the Bonferroni inequality are used to prevent false accusation due to 'data dredging'. The model has received considerable application in practice and has been verified through the adjacent seating method.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:japsta:v:27:y:2000:i:7:p:909-921
    DOI: 10.1080/02664760050120588
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    Cited by:

    1. Richmond, Peter & Roehner, Bertrand M., 2015. "The detection of cheating in multiple choice examinations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 418-429.
    2. Sergio Longobardi & Patrizia Falzetti & Margherita Maria Pagliuca, 2018. "Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(3), pages 515-543, August.
    3. Mauricio Romero & Ã lvaro Riascos & Diego Jara, 2015. "On the Optimality of Answer-Copying Indices," Journal of Educational and Behavioral Statistics, , vol. 40(5), pages 435-453, October.
    4. 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.
    5. Wim Linden & Charles Lewis, 2015. "Bayesian Checks on Cheating on Tests," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 689-706, September.
    6. Jere R. Behrman & Susan W. Parker & Petra E. Todd & Kenneth I. Wolpin, 2015. "Aligning Learning Incentives of Students and Teachers: Results from a Social Experiment in Mexican High Schools," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 325-364.
    7. Mauricio Romero & Álvaro Riascos & Diego Jara, 2014. "A derivation of the optimal answer-copying index and some applications," Documentos CEDE 12061, Universidad de los Andes, Facultad de Economía, CEDE.

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