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van der Linden, Wim J.; Glas, Cees A. W. – 1998
In adaptive testing, item selection is sequentially optimized during the test. Since the optimization takes place over a pool of items calibrated with estimation error, capitalization on these errors is likely to occur. How serious the consequences of this phenomenon are depends not only on the distribution of the estimation errors in the pool or…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Error of Measurement

van der Linden, Wim J. – Applied Psychological Measurement, 1999
Proposes a procedure for empirical initialization of the trait (theta) estimator in adaptive testing that is based on the statistical relation between theta and background variables known prior to test administration. Illustrates the procedure for an adaptive version of a test from the Dutch General Aptitude Battery. (SLD)
Descriptors: Adaptive Testing, Aptitude Tests, Bayesian Statistics, Computer Assisted Testing
Veldkamp, Bernard P.; van der Linden, Wim J. – 1999
A method of item pool design is proposed that uses an optimal blueprint for the item pool calculated from the test specifications. The blueprint is a document that specifies the attributes that the items in the computerized adaptive test (CAT) pool should have. The blueprint can be a starting point for the item writing process, and it can be used…
Descriptors: Ability, Adaptive Testing, Classification, Computer Assisted Testing

Dirkzwager, A. – Educational and Psychological Measurement, 1996
Testing with personal probabilities eliminates guessing whether the subjects are well calibrated. A probability testing study with 47 Dutch elementary school children who used an interactive computer program shows that even 11-year-olds can estimate their personal probabilities correctly. (SLD)
Descriptors: Computer Assisted Testing, Elementary Education, Elementary School Students, Estimation (Mathematics)
van der Linden, Wim J.; Reese, Lynda M. – 1997
A model for constrained computerized adaptive testing is proposed in which the information in the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
In this study some alternative item selection criteria for adaptive testing are proposed. These criteria take into account the uncertainty of the ability estimates. A general weighted information criterion is suggested of which the usual maximum information criterion and the suggested alternative criteria are special cases. A simulation study was…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Adams, Raymond J.; Khoo, Siek-Toon – 1993
The Quest program offers a comprehensive test and questionnaire analysis environment by providing a data analyst (a computer program) with access to the most recent developments in Rasch measurement theory, as well as a range of traditional analysis procedures. This manual helps the user use Quest to construct and validate variables based on…
Descriptors: Computer Assisted Testing, Computer Software, Estimation (Mathematics), Foreign Countries
Liu, Xiufeng – 1994
Problems of validity and reliability of concept mapping are addressed by using item-response theory (IRT) models for scoring. In this study, the overall structure of students' concept maps are defined by the number of links, the number of hierarchies, the number of cross-links, and the number of examples. The study was conducted with 92 students…
Descriptors: Alternative Assessment, Computer Assisted Testing, Concept Mapping, Correlation