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ERIC Number: EJ901478
Record Type: Journal
Publication Date: 2010-Sep
Pages: 14
Abstractor: As Provided
ISSN: ISSN-0146-6216
Automatic Detection of Answer Copying via Kullback-Leibler Divergence and K-Index
Belov, Dmitry I.; Armstrong, Ronald D.
Applied Psychological Measurement, v34 n6 p379-392 Sep 2010
This article presents a new method to detect copying on a standardized multiple-choice exam. The method combines two statistical approaches in successive stages. The first stage uses Kullback-Leibler divergence to identify examinees, called subjects, who have demonstrated inconsistent performance during an exam. For each subject the second stage uses the K-Index to search for a possible source of the responses. Both stages apply a hypothesis test given a significance level. Monte Carlo methods are applied to approximate empirical distributions and then compute critical values providing a low Type I error rate and a good copying-detection rate. The results with both simulated and empirical data demonstrate the effectiveness of this approach. (Contains 1 table and 5 figures.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A