Comparison of CAT Item Selection Criteria for Polytomous Items

Seung W Choi, Richard J Swartz

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

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).

Original languageEnglish (US)
Pages (from-to)419-440
Number of pages22
JournalApplied Psychological Measurement
Volume33
Issue number6
DOIs
StatePublished - Sep 1 2009
Externally publishedYes

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