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Browsing by Author "De Ayala, R. J."

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    Computerized adaptive testing with polytomous items
    (1995) Dodd, Barbara G.; De Ayala, R. J.; Koch, William R.
    Polytomous item response theory models and the research that has been conducted to investigate a variety of possible operational procedures for polytomous model-based computerized adaptive testing (CAT) are reviewed. Studies that compared polytomous CAT systems based on competing item response theory models that are appropriate for the same measurement objective, as well as applications of polytomous CAT in marketing and educational psychology, also are reviewed. Directions for future research using polytomous model-based CAT are suggested. Index terms: computerized adaptive testing, polytomous item response theory, polytomous scoring.
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    The nominal response model in computerized adaptive testing
    (1992) De Ayala, R. J.
    Although most computerized adaptive tests (CATs) use dichotomous item response theory (IRT) models, research on the use of polytomous IRT models in CAT has shown promising results. This study implemented a CAT based on the nominal response model (NR CAT). Item pool requirements for the NR CAT were examined. The performance of the NR CAT and a CAT based on the three-parameter logistic (3PL) model was compared. For two-, three-, and four-category items, items with maximum information of at least .16 produced reasonably accurate trait estimation for tests with a minimum test length of approximately 15 to 20 items. The NR CAT was able to produce trait estimates comparable to those of the 3PL CAT. Implications of these results are discussed. Index terms: adaptive testing; computerized adaptive testing; EAP estimation; nominal response model; polytomous models.