PT  - JOURNAL ARTICLE
AU  - Cagala, Tobias
AU  - Glogowsky, Ulrich
AU  - Rincke, Johannes
TI  - Detecting and Preventing Cheating in Exams
AID  - 10.3368/jhr.0620-10947R1
DP  - 2024 Jan 01
TA  - Journal of Human Resources
PG  - 210--241
VI  - 59
IP  - 1
4099  - http://jhr.uwpress.org/content/59/1/210.short
4100  - http://jhr.uwpress.org/content/59/1/210.full
AB  - This work examines how to detect, document, and prevent plagiarism in exams. First, to identify and quantify plagiarism, we propose methods that compare similarities in multiple-choice answers between seat neighbors and nonneighbors. Second, we document cheating in undergraduate exams. Under baseline monitoring, at least 7.7 percent of the row-wise neighbor pairs plagiarized. Pairs composed of academically weaker students cheated more. Third, using a field experiment, we demonstrate that close monitoring eliminated cheating. By contrast, signing an honesty declaration doubled cheating relative to the control group. Complementary experiments suggest that the declaration backfired because it weakened the social norm of academic integrity.