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Rulison, Kelly L.; Loken, Eric – Applied Psychological Measurement, 2009
A difficult result to interpret in Computerized Adaptive Tests (CATs) occurs when an ability estimate initially drops and then ascends continuously until the test ends, suggesting that the true ability may be higher than implied by the final estimate. This study explains why this asymmetry occurs and shows that early mistakes by high-ability…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Academic Ability
Kalisch, Stanley J. – Journal of Computer-Based Instruction, 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. (Author)
Descriptors: Adaptive Testing, Computer Assisted Testing, Evaluation Methods, Item Analysis
Weiss, David J. – 1973
This report describes the stratified adaptive (stradaptive) test as a strategy for tailoring an ability test to individual differences in testee ability; administration of the test is controlled by a time-shared computer system. The rationale of this method is described as it derives from Binet's strategy of ability test administration and…
Descriptors: Adaptive Testing, Branching, Computer Assisted Testing, Individual Testing
Clark, Cynthia L., Ed. – 1976
The principal objectives of this conference were to exchange information, discuss theoretical and empirical developments, and to coordinate research efforts. The papers and their authors are: "The Graded Response Model of Latent Trait Theory and Tailored Testing" by Fumiko Samejima; (Incomplete Orders and Computerized Testing" by…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Branching