Multidimensional constrained test assembly

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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.
Original languageUndefined
Pages (from-to)133-146
JournalApplied psychological measurement
Issue number2
Publication statusPublished - 2002


  • METIS-209569
  • IR-60178

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