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Direct linkvan der Linden, Wim J.; Sotaridona, Leonardo – Journal of Educational and Behavioral Statistics, 2006
A statistical test for detecting answer copying on multiple-choice items is presented. The test is based on the exact null distribution of the number of random matches between two test takers under the assumption that the response process follows a known response model. The null distribution can easily be generalized to the family of distributions…
Descriptors: Test Items, Multiple Choice Tests, Cheating, Responses
Download full textvan der Linden, Wim J.; Sotaridona, Leonardo S. – 2002
A statistical test for the detection of answer copying on multiple-choice tests is presented. The test is based on the idea that answers of examinees to test items may be the results of three possible processes: (1) knowing; (2) guessing; and (3) copying. Examinees who do not have access to the answers of other examinees can arrive at their…
Descriptors: Cheating, Identification, Multiple Choice Tests, Statistical Analysis
Sotaridona, Leonardo S.; van der Linden, Wim J.; Meijer, Rob R. – Applied Psychological Measurement, 2006
A statistical test for detecting answer copying on multiple-choice tests based on Cohen's kappa is proposed. The test is free of any assumptions on the response processes of the examinees suspected of copying and having served as the source, except for the usual assumption that these processes are probabilistic. Because the asymptotic null and…
Descriptors: Cheating, Test Items, Simulation, Statistical Analysis
van der Linden, Wim J.; Sotaridona, Leonardo – Journal of Educational Measurement, 2004
A statistical test for the detection of answer copying on multiple-choice tests is presented. The test is based on the idea that the answers of examinees to test items may be the result of three possible processes: (1) knowing, (2) guessing, and (3) copying, but that examinees who do not have access to the answers of other examinees can arrive at…
Descriptors: Multiple Choice Tests, Test Items, Hypothesis Testing, Statistical Distributions
