Catching Cheating Students

Steven D. Levitt, Ming-Jen Lin

We develop a simple algorithm for detecting exam cheating between students who copy off one another's exam. 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 percent of the students. Students studying together cannot explain our findings. Matching incorrect answers prove to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears

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Year of publication:	October 2015
Authors:	Levitt, Steven D.
Other Persons:	Lin, Ming-Jen (contributor)
Institutions:	National Bureau of Economic Research (contributor)
Publisher:	Cambridge, Mass : National Bureau of Economic Research
Subject:	Studierende \| Students \| Betrug \| Fraud \| Theorie \| Theory

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Extent:	1 Online-Ressource
Series:	NBER working paper series ; no. w21628
Type of publication:	Book / Working Paper
Language:	English
Notes:	Mode of access: World Wide Web System requirements: Adobe [Acrobat] Reader required for PDF files Hardcopy version available to institutional subscribers.
Other identifiers:	10.3386/w21628 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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