Estimation of the parameters in an item-cloning model for adaptive testing

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

    Abstract

    Item response theory (IRT) models with random person parameters have become a common choice among practitioners in the field of educational and psychological measurement. Though initially the choice for such models was motivated by an attempt to get rid of the statistical problems inherent in the incidental nature of the person parameters (Bock & Lieberman, 1970), the insight soon emerged that such models more adequately represent cases where the focus is not on the measurement of individual persons but on the estimation of characteristics of populations. Early examples of models with random person parameters in the literature are those proposed by Andersen and Madsen (1977) and Sanathanan and Blumenthal (1978), who were interested in estimates of the mean and variance in a population of persons, and by Mislevy (1991), who provided tools for inference from a response model with a regression structure on the person parameters introduced to account for sampling persons differing background variables.
    Original languageEnglish
    Title of host publicationElements of adaptive testing
    EditorsW.J. van der Linden, C.A.W. Glas
    Place of PublicationNew York
    PublisherSpringer
    Pages289-314
    Number of pages462
    ISBN (Print)987-0-387-85459-5
    DOIs
    Publication statusPublished - 2010

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