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Chang, Hua-Hua3
Hau, Kit-Tai3
Leung, Chi-Keung3
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Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2000
Item selection methods in computerized adaptive testing (CAT) can yield extremely skewed item exposure distribution in which items with high "a" values may be over-exposed while those with low "a" values may never be selected. H. Chang and Z. Ying (1999) proposed the a-stratified design (ASTR) that attempts to equalize item…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Test Construction
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Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Educational and Psychological Measurement, 2003
Studied three stratification designs for computerized adaptive testing in conjunction with three well-developed content balancing methods. Simulation study results show substantial differences in item overlap rate and pool utilization among different methods. Recommends an optimal combination of stratification design and content balancing method.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Simulation
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2001
The multistage alpha-stratified computerized adaptive testing (CAT) design advocated a new philosophy of pool management and item selection using low discriminating items first. It has been demonstrated through simulation studies to be effective both in reducing item overlap rate and enhancing pool utilization with certain pool types. Based on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection