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Comparison of CAT Item Selection Criteria for Polytomous Items

Northwestern University Feinberg School of Medicine, s-choi{at}northwestern.edu

Richard J. Swartz

University of Texas M. D. Anderson Cancer Center

Item selection is a core component in computerized adaptive testing (CAT). Several studies have evaluated new and classical selection methods; however, the few that have applied such methods to the use of polytomous items have reported conflicting results. To clarify these discrepancies and further investigate selection method properties, six different selection methods are compared systematically. The results showed no clear benefit from more sophisticated selection criteria and showed one method previously believed to be superior—the maximum expected posterior weighted information (MEPWI)—to be mathematically equivalent to a simpler method, the maximum posterior weighted information (MPWI).

Key Words: computerized adaptive testing • item response theory • polytomous models

This version was published on September 1, 2009

Applied Psychological Measurement, Vol. 33, No. 6, 419-440 (2009)
DOI: 10.1177/0146621608327801


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