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Gu, Lixiong; Ling, Guangming; Qu, Yanxuan – ETS Research Report Series, 2019
Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Use, Test Items

Ward, William C. – Machine-Mediated Learning, 1988
Concepts of adaptive testing and the related measurement model, item response theory, are introduced and benefits and limitations are outlined. Field tests with over 2,500 students illustrate the use of adaptive tests in college placement. Some future directions for computerized adaptive testing are considered. (SLD)
Descriptors: Adaptive Testing, College Entrance Examinations, College Freshmen, Computer Assisted Testing
Reshetar, Rosemary A.; And Others – 1992
This study examined performance of a simulated computerized adaptive test that was designed to help direct the development of a medical recertification examination. The item pool consisted of 229 single-best-answer items from a random sample of 3,000 examinees, calibrated using the two-parameter logistic model. Examinees' responses were known. For…
Descriptors: Adaptive Testing, Classification, Computer Assisted Testing, Computer Simulation