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Multidimensional Adaptive Testing with Constraints on Test Content

Published online by Cambridge University Press:  01 January 2025

Bernard P. Veldkamp  and
Wim J. van der Linden
Bernard P. Veldkamp*
Affiliation:
University of Twente
Wim J. van der Linden
Affiliation:
University of Twente
*
Requests for reprints should be sent to Bernard R Veldkamp, Department of Educational Measurement and Data Analysis, University of Twente, P.O. Box 217, 7500 AE Enschede, THE NETHERLANDS. E-Mail: Veldkamp@edte.utwente.nl
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Abstract

The case of adaptive testing under a multidimensional response model with large numbers of constraints on the content of the test is addressed. The items in the test are selected using a shadow test approach. The 0–1 linear programming model that assembles the shadow tests maximizes posterior expected Kullback-Leibler information in the test. The procedure is illustrated for five different cases of multidimensionality. These cases differ in (a) the numbers of ability dimensions that are intentional or should be considered as “nuisance dimensions” and (b) whether the test should or should not display a simple structure with respect to the intentional ability dimensions.

Keywords

mathematical programmingmultidimensional adaptive testingmultidimensional item response theoryposterior expected Kullback-Leibler information

Information

Type
Articles
Information
Psychometrika , Volume 67 , Issue 4 , December 2002 , pp. 575 - 588
Copyright
Copyright © 2002 The Psychometric Society

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