Computerized classification test: Difference between revisions

Revision as of 20:49, 17 January 2025

Revision as of 13:08, 18 January 2025

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== Termination criterion ==

There are three termination criteria commonly used for CCTs. [[Bayesian decision theory]] methods offer great flexibility by presenting an infinite choice of loss/utility structures and evaluation considerations, but also introduce greater arbitrariness. A [[confidence interval]] approach calculates a confidence interval around the examinee's current theta estimate at each point in the test, and classifies the examinee when the interval falls completely within a region of theta that defines a classification. This was originally known as adaptive mastery testing ({{harv|Kingsbury & |Weiss, |1983)}}, but does not necessarily require adaptive item selection, nor is it limited to the two-classification mastery testing situation. The [[sequential probability ratio test]] ({{harv|Reckase, |1983)}} defines the classification problem as a [[hypothesis test]] that the examinee's theta is equal to a specified point above the cutscore or a specified point below the cutscore.

== References ==