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Computerized Mastery Testing Using Fuzzy Set Decision Theory.
Peer reviewed Peer reviewed
Du, Yi; And Others – Applied Measurement in Education, 1993
A new computerized mastery test is described that builds on the Lewis and Sheehan procedure (sequential testlets) (1990), but uses fuzzy set decision theory to determine stopping rules and the Rasch model to calibrate items and estimate abilities. Differences between fuzzy set and Bayesian methods are illustrated through an example. (SLD)
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics)
A Comparison of the Partial Credit and Graded Response Models in Computerized Adaptive Testing.
Peer reviewed Peer reviewed
De Ayala, R. J.; And Others – Applied Measurement in Education, 1992
A study involving 1,000 simulated examinees compared the partial credit and graded response models in computerized adaptive testing (CAT). The graded response model fit the data well and provided slightly more accurate ability estimates than those of the partial credit model. Benefits of polytomous model-based CATs are discussed. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Computer Simulation
Cluster Analysis of Angular Data in Applications of Multidimensional Item-Response Theory.
Peer reviewed Peer reviewed
Miller, Timothy R.; Hirsch, Thomas M. – Applied Measurement in Education, 1992
A procedure for interpreting multiple-discrimination indices from a multidimensional item-response theory analysis is described and demonstrated with responses of 1,635 high school students to a multiple-choice test. The procedure consists of converting discrimination parameter estimates to direction cosines and analyzing the angular distances…
Descriptors: Ability, Cluster Analysis, Comparative Analysis, Estimation (Mathematics)