Empirical comparison between factor analysis and multidimensional item response models

Dirk L. Knol, Martijn P.F. Berger

    Research output: Contribution to journalArticleAcademicpeer-review

    114 Citations (Scopus)

    Abstract

    Many factor analysis and multidimensional item response models for dichotomous variables have been proposed in literature. The models and various methods for estimating the item parameters are reviewed briefly. In a simulation study these methods are compared with respect to their estimates of the item parameters both in terms of an item response theory formulation and in terms of a factor analysis formulation. It is concluded that for multidimensional data a common factor analysis on the matrix of tetrachoric correlations performs at least as well as the theoretically appropriate multidimensional item response models.
    Original languageEnglish
    Pages (from-to)457-477
    Number of pages21
    JournalMultivariate behavioral research
    Volume26
    Issue number3
    DOIs
    Publication statusPublished - 1991

    Fingerprint Dive into the research topics of 'Empirical comparison between factor analysis and multidimensional item response models'. Together they form a unique fingerprint.

    Cite this