Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing

Chuan Ju Lin, Hua Hua Chang

Research output: Contribution to journalArticle

Abstract

For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized weighted deviation global discrimination index (SWDGDI), and subsequently formulated the constrained progressive index (CP_SWDGDI) by casting the SWDGDI in a progressive algorithm. A simulation study revealed that the SWDGDI method was effective in balancing attribute coverage and the CP_SWDGDI method was able to simultaneously balance attribute coverage and item pool usage while maintaining acceptable estimation precision. This research also demonstrates the advantage of a relatively low number of attributes in CD-CAT applications.

Original languageEnglish (US)
Pages (from-to)335-357
Number of pages23
JournalEducational and Psychological Measurement
Volume79
Issue number2
DOIs
StatePublished - Apr 1 2019

Keywords

  • cognitive diagnostic computerized adaptive test
  • cognitive diagnostic model
  • item selection criteria
  • the reduced version of RUM

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology
  • Applied Psychology
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing'. Together they form a unique fingerprint.

  • Cite this