Comparison of CAT Item Selection Criteria for Polytomous Items

被引:61
作者
Choi, Seung W. [1 ]
Swartz, Richard J. [2 ]
机构
[1] Northwestern Univ, Dept Med Social Sci, Feinberg Sch Med, Chicago, IL 60611 USA
[2] Univ Texas MD Anderson Canc Ctr, Houston, TX USA
关键词
computerized adaptive testing; item response theory; polytomous models; PARTIAL CREDIT MODEL; ADAPTIVE TESTS; INFORMATION; ABILITY;
D O I
10.1177/0146621608327801
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
030301 [社会学]; 070101 [基础数学];
摘要
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).
引用
收藏
页码:419 / 440
页数:22
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