Attribute-Level Discrimination Indices for Cognitive Diagnostic Computerized Adaptive Testing

• In Event: Roundtable Session 60
  In Roundtable Session: Computerized Adaptive Testing Issues

Abstract

The focus of this research is on developing new item selection rules for cognitive diagnostic com-
puterized adaptive testing (CD-CAT). The efficiency of adaptive testing is known to be highly dependent on the ability of the item selection rule to pick the most appropriate item for each examinee at every stage of the testing. Two item selection rules based on a combination of prior information and attribute-specific item discrimination parameters are proposed. A pilot study using item parameters obtained from a large scale study was conducted. The results from the pilot study show that both item selection rules are promising.

Authors

• Teck Yong Lawrence Neo, University of Illinois at Urbana-Champaign

• Hua-Hua Chang, University of Illinois at Urbana-Champaign