Abstract
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 language | Undefined |
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Pages (from-to) | 133-146 |
Journal | Applied psychological measurement |
Volume | 26 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2002 |
Keywords
- METIS-209569
- IR-60178