Adaptive Mastery Testing Using a Multidimensional IRT Model and Bayesian Sequential Decision Theory
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Adaptive Mastery Testing Using the Rasch Model and Bayesian Sequential Decision Theory
A version of sequential mastery testing is studied in which response behavior is modeled by an item response theory (IRT) model. First, a general theoretical framework is sketched that is based on a combination of Bayesian sequential decision theory and item response theory. A di
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The purpose of this paper is to formulate optimal sequential rules for mastery tests. The framework for this approach is derived from empirical Bayesian decision theory. Both a threshold and linear loss structure are considered. The binomial probability distribution is adopted as