@article {395,
	title = {Multidimensional adaptive testing with a minimum error-variance criterion},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {24},
	number = {4},
	year = {1999},
	pages = {398-412},
	abstract = {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. },
	keywords = {computerized adaptive testing},
	author = {van der Linden, W. J.}
}
