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Frick, Theodore W. – Journal of Educational Computing Research, 1989
Demonstrates how Bayesian reasoning can be used to adjust the length of computer-guided practice exercises and computer-based tests to help make mastery or nonmastery decisions. Individualization of instruction is discussed, and the results of an empirical study that used the sequential probability ratio test (SPRT) are presented. (25 references)…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Higher Education
Reckase, Mark D. – 1977
The reliability and validity of a tailored testing procedure based on the simple logistic model was determined for an achievement test in statistics and measurement. The test was administered on a CRT terminal to students from graduate and undergraduate measurement courses. Equivalent form reliability over a one-week interval was found to be 0.595…
Descriptors: Achievement Tests, Adaptive Testing, College Students, Computer Programs

Kent, Thomas H.; Albanese, Mark A. – Evaluation and the Health Professions, 1987
Two types of computer-administered unit quizzes in a systematic pathology course for second-year medical students were compared. Quizzes composed of questions selected on the basis of a student's ability had higher correlations with the final examination than did quizzes composed of questions randomly selected from topic areas. (Author/JAZ)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Difficulty Level
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis