TY - JOUR T1 - Multidimensional adaptive testing with a minimum error-variance criterion JF - Journal of Educational and Behavioral Statistics Y1 - 1999 A1 - van der Linden, W. J. KW - computerized adaptive testing AB - Adaptive testing under a multidimensional logistic response model is addressed. An algorithm is proposed that minimizes the (asymptotic) variance of the maximum-likelihood estimator of a linear combination of abilities of interest. The criterion results in a closed-form expression that is easy to evaluate. In addition, it is shown how the algorithm can be modified if the interest is in a test with a "simple ability structure". The statistical properties of the adaptive ML estimator are demonstrated for a two-dimensional item pool with several linear combinations of the abilities. VL - 24 ER -