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

    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.
    Original languageEnglish
    Title of host publicationElements of adaptive testing
    EditorsWim J. van der Linden, Cees A.W. Glas
    Place of PublicationNew York, NY
    PublisherSpringer
    Pages77-101
    Number of pages462
    ISBN (Electronic)978-0-387-85461-8
    ISBN (Print)978-0-387-85459-5
    DOIs
    Publication statusPublished - 2010

    Publication series

    NameStatistics for Social and Behavioral Sciences
    PublisherSpringer

    Keywords

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

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  • Cite this

    Mulder, J., & van der Linden, W. J. (2010). Multidimensional adaptive testing with Kullback-Leibler information item selection. In W. J. van der Linden, & C. A. W. Glas (Eds.), Elements of adaptive testing (pp. 77-101). (Statistics for Social and Behavioral Sciences). New York, NY: Springer. https://doi.org/10.1007/978-0-387-85461-8