Literaturnachweis - Detailanzeige
| Autor/inn/en | Robitzsch, Alexander; Steinfeld, Jan |
|---|---|
| Titel | Item response models for human ratings: Overview, estimation methods, and implementation in R. |
| Quelle | In: Psychological Test and Assessment Modeling, 60 (2018) 1, S. 101-139
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| Beigaben | Literaturangaben, Abbildungen, Tabellen |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2190-0493 |
| Schlagwörter | Modell; Item-Response-Theorie; Modellierung; Rating-Verfahren; Methode; Methodenforschung; Software; Testverfahren; Persönlichkeit; |
| Abstract | Item response theory (IRT) models for human ratings aim to represent item and rater characteristics by item and rater parameters. First, an overview of different IRT models (many-facet rater models, covariance structure models, and hierarchical rater models) is presented. Next, different estimationmethods and their implementation in R software are discussed. Furthermore, suggestions on how to choose an appropriate rater model are made. Finally, the application of several rater models in R is illustrated by a sample dataset. (Orig.). |
| Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
| Update | Neueintrag 2020-12 |
