ERIC Number: ED419005
Record Type: Non-Journal
Publication Date: 1997
Reference Count: N/A
Multidimensional Adaptive Testing with a Minimum Error-Variance Criterion.
van der Linden, Wim J.
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)
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing, Criteria, Foreign Countries, Maximum Likelihood Statistics, Selection
Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Publication Type: Reports - Evaluative
Education Level: N/A
Authoring Institution: Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.