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Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – ETS Research Report Series, 2004
Item parameter estimates vary for a variety of reasons, including estimation error, characteristics of the examinee samples, and context effects (e.g., item location effects, section location effects, etc.). Although we expect variation based on theory, there is reason to believe that observed variation in item parameter estimates exceeds what…
Descriptors: Test Items, Computer Assisted Testing, Computation, Adaptive Testing
Patelis, Thanos; Way, Walter D.; Elliot, Scott – 2000
The purpose of this paper is threefold. First, the description of a research plan for a large-scale computer adaptive testing program migrating from a network to Internet version is presented. The general areas needed in such a research plan include: (1) comparability studies; (2) psychometric analyses; (3) development projects; (4) validity…
Descriptors: Adaptive Testing, Algebra, Computer Assisted Testing, Higher Education
Harvey, Anne L.; Way, Walter D. – 1999
Standard setting, when carefully done, can be an expensive and time-consuming process. The modified Angoff method and the benchmark method, as utilized in this study, employ representative panels of judges to provide recommended passing scores to standard setting decision-makers. It has been considered preferable to have the judges meet in a…
Descriptors: Computer Assisted Testing, Computer Mediated Communication, Computer Oriented Programs, Data Collection
Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – Educational Testing Service, 2004
Item parameter estimates vary for a variety of reasons, including estimation error, characteristics of the examinee samples, and context effects (e.g., item location effects, section location effects, etc.). Although we expect variation based on theory, there is reason to believe that observed variation in item parameter estimates exceeds what…
Descriptors: Adaptive Testing, Test Items, Computation, Context Effect
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission

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