Elements of Adaptive Testing. Statistics for Social and Behavioral Sciences - Theory and Practice

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker`s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. TOC:Item selection and ability estimation in adaptive testing.- Constrained adaptive testing with shadow tests.- Principles of multidimensional adaptive testing.- Multidimensional adaptive testing with Kullback-Liebler information item selection.- Sequencing an adaptive test battery.- Adaptive tests for measuring anxiety and depression.- MATHCAT: A flexible testing system in mathematics education for adults.- Implementing the Graduate Management admission test computerized adaptive test.- Designing and implementing a multistage adaptive test: The uniform CPA exam.- A Japanese adaptive test of English as a foreign language: Developmental and operational aspects.- Innovative items for computerized testing.- Designing item pools for adaptive testing.- Assembling an inventory of multistage adaptive testing systems.- Item parameter estimation and item fit analysis.- Estimation of the parameters in an item-cloning model for adaptive testing.- Detecting person misfit in adaptive testing using statistical process control techniques.- The assessment of differential item functioning in computer adaptive tests.- Multi-stage testing: Issues, designs, and research.- Three-category adaptive classification testing.- Testlet-based adaptive mastery testing.- Adaptive mastering testing using a multidimensional IRT model.