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Davis, Laurie Laughlin; Pastor, Dena A.; Dodd, Barbara G.; Chiang, Claire; Fitzpatrick, Steven J. – Journal of Applied Measurement, 2003
Examined the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system based on the partial credit model. Simulation results show the Sympson-Hetter technique can be used with minimal impact on measurement precision,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation

Wang, LihShing; Li, Chun-Shan – Journal of Applied Measurement, 2001
Used Monte Carlo simulation to compare the relative measurement efficiency of polytomous modeling and dichotomous modeling under different scoring schemes and termination criteria. Results suggest that polytomous computerized adaptive testing (CAT) yields marginal gains over dichotomous CAT when termination criteria are more stringent. Discusses…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Monte Carlo Methods

O'Neill, Thomas; Lunz, Mary E.; Thiede, Keith – Journal of Applied Measurement, 2000
Studied item exposure in a computerized adaptive test when the item selection algorithm presents examinees with questions they were asked in a previous test administration. Results with 178 repeat examinees on a medical technologists' test indicate that the combined use of an adaptive algorithm to select items and latent trait theory to estimate…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Response Theory

Stahl, John; Bergstrom, Betty; Gershon, Richard – Journal of Applied Measurement, 2000
Developed a computerized adaptive language proficiency test for a community college in Quebec, Canada and obtained item response theory calibrations on the items from 700 to 800 administrations. Describes projected efforts to detect instances in which "cheating low" (answering incorrectly deliberately) occurs. (SLD)
Descriptors: Adaptive Testing, Cheating, College Students, Community Colleges