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Application of Bayesian Decision Theory in Detecting Test Fraud

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Applied Psychological Measurement

Published online on

Abstract

Applied Psychological Measurement, Ahead of Print.
This article suggests a new approach based on Bayesian decision theory (e.g., Cronbach & Gleser, 1965; Ferguson, 1967) for detection of test fraud. The approach leads to a simple decision rule that involves the computation of the posterior probability ...