Computerized adaptive testing: A comparison of three content balancing methods

Chi Keung Leung, Hua Hua Chang, Kit Tai Hau

Research output: Contribution to journalReview articlepeer-review

Abstract

Content balancing is often a practical consideration in the design of computerized adaptive testing (CAT). This study compared three content balancing methods, namely, the constrained CAT (CCAT), the modified constrained CAT (MCCAT), and the modified multinomial model (MMM), under various conditions of test length and target maximum exposure rate. Results of a series of simulation studies indicate that there is no systematic effect of content balancing method in measurement efficiency and pool utilization. However, among the three methods, the MMM appears to consistently over-expose fewer items.

Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
JournalJournal of Technology, Learning, and Assessment
Volume2
Issue number5
StatePublished - Dec 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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