Multidimensional adaptive testing with Kullback-Leibler information item selection

Joris Mulder, Wim J. van der Linden

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


    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.
    Original languageEnglish
    Title of host publicationElements of adaptive testing
    EditorsWim J. van der Linden, Cees A.W. Glas
    Place of PublicationNew York, NY
    Number of pages462
    ISBN (Electronic)978-0-387-85461-8
    ISBN (Print)978-0-387-85459-5
    Publication statusPublished - 2010

    Publication series

    NameStatistics for Social and Behavioral Sciences


    • Mutual information
    • Posterior distribution
    • Item response theory (IRT)
    • Item response theory model
    • Computerize adaptive testing (CAT)

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