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Direct linkDoong, Shing H. – Journal of Educational and Behavioral Statistics, 2009
The purpose of this study is to investigate a functional relation between item exposure parameters (IEPs) and item parameters (IPs) over parallel pools. This functional relation is approximated by a well-known tool in machine learning. Let P and Q be parallel item pools and suppose IEPs for P have been obtained via a Sympson and Hetter-type…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Simulation
Yan, Duanli; Lewis, Charles; Stocking, Martha – Journal of Educational and Behavioral Statistics, 2004
It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all the new and currently considered computer-based tests. In addition to developing new models, we also need to give attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized adaptive…
Descriptors: Nonparametric Statistics, Regression (Statistics), Adaptive Testing, Computer Assisted Testing
