Assessing and Explaining Differential Item Functioning Using Logistic Mixed Models
Although differential item functioning (DIF) theory traditionally focuses on the behavior of individual items in two (or a few) specific groups, in educational measurement contexts, it is often plausible to regard the set of items as a random sample from a broader category. This article presents log...
| Veröffentlicht in: | Journal of Educational and Behavioral Statistics. - SAGE Publishing, 1976. - 30(2005), 4, Seite 443-464 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2005
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| Zugriff auf das übergeordnete Werk: | Journal of Educational and Behavioral Statistics |
| Schlagworte: | Differential Item Functioning Item Bias Item Response Theory Logistic Mixed Models Random Effects Business Information science Mathematics Education Applied sciences |
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