An Examination of Decision-Theory Adaptive Testing Procedures

Abstract

Rather than make a classification decision (pass/fail, below basic/basic/proficient/advanced) for an individual after administering a fixed number of items, it is possible to sequentially select items to maximize information, update the estimated classification probabilities and then evaluate whether there is enough information to terminate testing. In measurement this is frequently called adaptive or tailored testing. In statistics, this is called sequential testing.

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