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Download full textVeldkamp, Bernard P. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
Application of Bayesian item selection criteria in computerized adaptive testing might result in improvement of bias and MSE of the ability estimates. The question remains how to apply Bayesian item selection criteria in the context of constrained adaptive testing, where large numbers of specifications have to be taken into account in the item…
Descriptors: Selection, Criteria, Bayesian Statistics, Computer Assisted Testing
Veldkamp, Bernard P. – 2002
This paper discusses optimal test construction, which deals with the selection of items from a pool to construct a test that performs optimally with respect to the objective of the test and simultaneously meets all test specifications. Optimal test construction problems can be formulated as mathematical decision models. Algorithms and heuristics…
Descriptors: Algorithms, Item Banks, Selection, Test Construction
Peer reviewedVeldkamp, Bernard P. – Applied Psychological Measurement, 2002
Presents two mathematical programming approaches for the assembly of ability tests from item pools calibrated under a multidimensional item response theory model. Item selection is based on the Fisher information matrix. Illustrates the method through empirical examples for a two-dimensional mathematics item pool. (SLD)
Descriptors: Ability, Item Banks, Item Response Theory, Selection
Veldkamp, Bernard P. – 1998
In this paper, a mathematical programming approach is presented for the assembly of ability tests measuring multiple traits. The values of the variance functions of the estimators of the traits are minimized, while test specifications are met. The approach is based on Lagrangian relaxation techniques and provides good results for the two…
Descriptors: Ability, Estimation (Mathematics), Foreign Countries, Item Banks
