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 -