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 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2001
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| 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 |
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