Two-Phase Item Selection Procedure for Flexible Content Balancing in CAT  

Oleh:

Hua-Hua, Chang ; Ying, Cheng ; Qing, Yi

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Applied Psychological Measurement vol. 31 no. 6 (Nov. 2007), page 467-482.
Topik: flexible content balancing; fixed content balancing; two-phase content balancing; exposure control; a-stratification methods; item selection
Fulltext: 467.pdf (268.39KB)

Isi artikel

Content balancing is an important issue in the design and implementation of computerized adaptive testing (CAT). Content-balancing techniques that have been applied in fixed content balancing, where the number of items fromeach content area is fixed, include constrained CAT (CCAT), the modifiedmultinomial model (MMM), modified constrained CAT (MCCAT), and others. In this article, four methods are proposed to address the flexible content-balancing issue with the a-stratification design, named STR C. The four methods areMMM+, an extension of MMM; MCCAT+, an extension ofMCCAT; the TPM method, a two-phase content-balancing method usingMMMin both phases; and the TPF method, a two-phase content-balancing method usingMMM in the first phase andMCCAT in the second. Simulation results show that all of the methods work well in content balancing, and TPF performs the best in item exposure control and item pool utilization while maintainingmeasurement precision.

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