Computerized adaptive testing: A comparison of three content balancing methods

Chi Keung Eddie LEUNG, Hua Hua CHANG, Kit Tai HAU

Research output: Contribution to journalArticlespeer-review

28 Citations (Scopus)

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. Copyright © 2003 Journal of Technology, Learning, and Assessment.
Original languageEnglish
Pages (from-to)1-16
JournalJournal of Technology, Learning, and Assessment
Volume2
Issue number5
Publication statusPublished - Dec 2003

Citation

Leung, C.-K., Chang, H.-H., & Hau, K.-T. (2003). Computerized adaptive testing: A comparison of three content balancing methods. Journal of Technology, Learning, and Assessment, 2(5), 1-16.

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