Abstract
Although multidimensional item response theory (IRT) (e.g., McDonald, 1962, 1997; Reckase, 1985, 1997; Samejima, 1974) has been available for some time, it has been applied much less frequently in adaptive testing than unidimensional IRT. The main reason for this was a lack of computational power. However, recently this condition has changed dramatically. Even for the more time-intensive Bayesian treatments of multidimensional models, regular PCs now have plenty of computational power to deal with them in a large variety of applications.
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Mulder, J., van der Linden, W.J. (2009). Multidimensional Adaptive Testing with Kullback–Leibler Information Item Selection. In: van der Linden, W., Glas, C. (eds) Elements of Adaptive Testing. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-85461-8_4
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