TY - JOUR T1 - Two-Phase Item Selection Procedure for Flexible Content Balancing in CAT JF - Applied Psychological Measurement Y1 - 2007 A1 - Ying Cheng, A1 - Chang, Hua-Hua A1 - Qing Yi, AB -

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 from each content area is fixed, include constrained CAT (CCAT), the modified multinomial 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 are MMM+, an extension of MMM; MCCAT+, an extension of MCCAT; the TPM method, a two-phase content-balancing method using MMM in both phases; and the TPF method, a two-phase content-balancing method using MMM in the first phase and MCCAT 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 maintaining measurement precision.

VL - 31 UR - http://apm.sagepub.com/content/31/6/467.abstract ER -