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Applied Psychological Measurement, Vol. 26, No. 2, 133-146 (2002)
DOI: 10.1177/01421602026002002

Multidimensional Constrained Test Assembly

Bernard P. Veldkamp,

University of Twenteveldkamp{at}edte.utwente.nl.

Two mathematical programming approaches are presented for the assembly of ability tests from item pools calibrated under a multidimensional item response theory model. Item selection is based on Fisher information matrix. Several criteria can be used to optimize this matrix. In this article, the A-criterion and the D-criterion are applied. Empirical examples for a two-dimensional mathematics item pool illustrate the methods. Both criteria provided good results. Recommendations are provided about when to apply either approach.


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