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| Autor/in | van der Linden, Wim J. |
|---|---|
| Institution | Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology. |
| Titel | Multidimensional Adaptive Testing with a Minimum Error-Variance Criterion. |
| Quelle | (1997), (20 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Ability; Adaptive Testing; Algorithms; Computer Assisted Testing; Criteria; Foreign Countries; Maximum Likelihood Statistics; Selection |
| Abstract | The case of adaptive testing under a multidimensional logistic response model is addressed. An adaptive algorithm is proposed that minimizes the (asymptotic) variance of the maximum-likelihood (ML) estimator of a linear combination of abilities of interest. The item selection criterion is a simple expression in closed form. In addition, it is shown how the algorithm can be adapted if the interest is in a test with a "simple information structure." The statistical properties of the adaptive ML estimator are demonstrated for a two-dimensional item pool with several linear combinations of the two abilities. (Contains 1 figure and 15 references.) (Author/SLD) |
| Anmerkungen | Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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