Preventing cheating on tests in occupational and educational settings is crucial, but in the event of failure to prevent it, detecting its presence and impact on scores through forensic data analysis is equally important.
The purpose of this study was to evaluate the use of a suite of statistical detection indices for differentiating two patterns of cheating on multiple-choice tests: A pattern indicative of the presence of cheating and a pattern indicative of cheating that impacts test scores.
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