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Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
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Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – Applied Psychological Measurement, 2008
Criteria had been proposed for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria resulted from theoretical derivations that assumed uniformly randomized item selection. This study investigated potential damage caused by organized item theft in computerized adaptive…
Descriptors: Test Items, Simulation, Item Analysis, Safety
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Stahl, John; Bergstrom, Betty; Gershon, Richard – Journal of Applied Measurement, 2000
Developed a computerized adaptive language proficiency test for a community college in Quebec, Canada and obtained item response theory calibrations on the items from 700 to 800 administrations. Describes projected efforts to detect instances in which "cheating low" (answering incorrectly deliberately) occurs. (SLD)
Descriptors: Adaptive Testing, Cheating, College Students, Community Colleges