A Mixture Item Response Model for Multiple-Choice Data
A mixture item response model is proposed for investigating individual differences in the selection of response categories in multiple-choice items. The model accounts for local dependence among response categories by assuming that examinees belong to discrete latent classes that have different prop...
Veröffentlicht in: | Journal of Educational and Behavioral Statistics. - SAGE Publishing, 1976. - 26(2001), 4, Seite 381-409 |
---|---|
1. Verfasser: | |
Weitere Verfasser: | , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2001
|
Zugriff auf das übergeordnete Werk: | Journal of Educational and Behavioral Statistics |
Schlagworte: | Cognitive Diagnosis Differential Alternative Functioning Item Response Theory Markov Chain Monte Carlo Estimation Mixture Modeling Nominal Response Model Mathematics Information science Behavioral sciences Linguistics |
Online verfügbar |
Volltext |