Literaturnachweis - Detailanzeige
Autor/in | Revuelta, Javier |
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Titel | The Generalized Logit-Linear Item Response Model for Binary-Designed Items |
Quelle | In: Psychometrika, 73 (2008) 3, S.385-405 (21 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0033-3123 |
DOI | 10.1007/s11336-007-9048-6 |
Schlagwörter | Item Response Theory; Models; Matrices; Probability |
Abstract | This paper introduces the generalized logit-linear item response model (GLLIRM), which represents the item-solving process as a series of dichotomous operations or steps. The GLLIRM assumes that the probability function of the item response is a logistic function of a linear composite of basic parameters which describe the operations, and the coefficients depend on three design matrices X, Y and Z. The GLLIRM provides a tool for testing hypotheses on the item-solving process and generalizes existing models. An empirical application is included, in which the model is applied to evaluate sources of difficulty and pairwise item interactions in a logical analysis test. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |