00491nas a2200133 4500008004100000245008000041210006900121300001100190490000700201100001700208700001600225700001700241856009900258 2009 eng d00aA conditional exposure control method for multidimensional adaptive testing0 aconditional exposure control method for multidimensional adaptiv a84-1030 v461 aFinkelman, M1 aNering, M L1 aRoussos, L A uhttp://iacat.org/content/conditional-exposure-control-method-multidimensional-adaptive-testing00552nas a2200121 4500008004100000245008100041210006900122260009700191100001700288700001400305700001600319856009500335 2009 eng d00aItem selection and hypothesis testing for the adaptive measurement of change0 aItem selection and hypothesis testing for the adaptive measureme aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.1 aFinkelman, M1 aWeiss, DJ1 aKim-Kang, G uhttp://iacat.org/content/item-selection-and-hypothesis-testing-adaptive-measurement-change01077nas a2200145 4500008004100000245008400041210006900125300001200194490000700206520056600213100001600779700001700795700001300812856010600825 2008 eng d00aModern sequential analysis and its application to computerized adaptive testing0 aModern sequential analysis and its application to computerized a a473-4860 v733 aAfter a brief review of recent advances in sequential analysis involving sequential generalized likelihood ratio tests, we discuss their use in psychometric testing and extend the asymptotic optimality theory of these sequential tests to the case of sequentially generated experiments, of particular interest in computerized adaptive testing.We then show how these methods can be used to design adaptive mastery tests, which are asymptotically optimal and are also shown to provide substantial improvements over currently used sequential and fixed length tests.1 aBartroff, J1 aFinkelman, M1 aLai, T L uhttp://iacat.org/content/modern-sequential-analysis-and-its-application-computerized-adaptive-testing00429nas a2200109 4500008004100000245007500041210007100116300001200187490000700199100001700206856009600223 2008 eng d00aThe Wald–Wolfowitz Theorem Is Violated in Sequential Mastery Testing0 aWald–Wolfowitz Theorem Is Violated in Sequential Mastery Testing a293-3030 v271 aFinkelman, M uhttp://iacat.org/content/wald%E2%80%93wolfowitz-theorem-violated-sequential-mastery-testing01386nas a2200121 4500008004100000245010300041210006900144260011000213300000900323520079300332100001701125856012201142 2003 eng d00aAn adaptation of stochastic curtailment to truncate Wald’s SPRT in computerized adaptive testing0 aadaptation of stochastic curtailment to truncate Wald s SPRT in aLos AngelesbNational Center for Research on Evaluation, Standards, and Student TestingcSteptember, 2003 a1-263 a
Computerized adaptive testing (CAT) has been shown to increase eÆciency in educational measurement. One common application of CAT is to classify students as either pro cient or not proficient in ability. A truncated form of Wald's sequential probability ratio test (SPRT), in which examination is halted after a prespeci ed number of questions, has been proposed to provide a diagnosis of prociency. This article studies the further truncation provided by stochastic curtailment, where an exam is stopped early if completion of the remaining questions would be unlikely to alter the classi cation of the examinee. In a simulation study presented, the increased truncation is shown to offer substantial improvement in test length with only a slight decrease in accuracy.
1 aFinkelman, M uhttp://iacat.org/content/adaptation-stochastic-curtailment-truncate-wald%E2%80%99s-sprt-computerized-adaptive-testing