Applying techniques of dynamic programming to sequential mastery testing

Hans J. Vos · COMPSTAT · 2000

The purpose of this paper is to derive optimal rules for sequential mastery testing, that is, deciding on mastery, nonmastery, or to continue testing and administering another random item. The framework of minimax sequential decision theory is used; that is, optimal rules are obtained by minimizing the maximum expected losses associated with all possible decision rules at each stage of testing.

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