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Greiff, Samuel; Wustenberg, Sascha; Funke, Joachim – Applied Psychological Measurement, 2012
This article addresses two unsolved measurement issues in dynamic problem solving (DPS) research: (a) unsystematic construction of DPS tests making a comparison of results obtained in different studies difficult and (b) use of time-intensive single tasks leading to severe reliability problems. To solve these issues, the MicroDYN approach is…
Descriptors: Problem Solving, Tests, Measurement, Structural Equation Models
Hol, A. Michiel; Vorst, Harrie C. M.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 2007
In a randomized experiment (n = 515), a computerized and a computerized adaptive test (CAT) are compared. The item pool consists of 24 polytomous motivation items. Although items are carefully selected, calibration data show that Samejima's graded response model did not fit the data optimally. A simulation study is done to assess possible…
Descriptors: Student Motivation, Simulation, Adaptive Testing, Computer Assisted Testing
Peer reviewedVerguts, Tom; De Boeck, Paul – Applied Psychological Measurement, 2000
Developed an extension of the Rasch model from a Bayesian point of view and used the model to study whether learning occurred throughout a computer-administered intelligence test. Results from 137 college students indicate that learning did occur and that there might be individual differences in learning rate. (SLD)
Descriptors: Bayesian Statistics, College Students, Computer Assisted Testing, Higher Education
Peer reviewedBennett, Randy Elliot; And Others – Applied Psychological Measurement, 1990
The relationship of an expert-system-scored constrained free-response item type to multiple-choice and free-response items was studied using data for 614 students on the College Board's Advanced Placement Computer Science (APCS) Examination. Implications for testing and the APCS test are discussed. (SLD)
Descriptors: College Students, Comparative Testing, Computer Assisted Testing, Computer Science

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