Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Многоуровневое дифференциальное функционирование элементов (Multilevel DIF)× | Дифференциальное функционирование элементов (DIF)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2001 | 1970s–1993 |
| Автор метода≠ | Kamata (2001) and subsequent multilevel IRT/DIF literature | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| Тип≠ | Bias detection / multilevel measurement model | Item-level bias detection |
| Основополагающий источник≠ | French, B. F., & Finch, W. H. (2008). Multigroup confirmatory factor analysis: Locating the invariant referent sets. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 96–113. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| Другие названия | multilevel DIF, hierarchical DIF analysis, cross-level DIF, ML-DIF | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| Связанные | 5 | 5 |
| Сводка≠ | Multilevel DIF analysis detects whether individual test or survey items function differently across groups when respondents are clustered within higher-level units — such as students nested in schools, employees in organizations, or patients in clinics. By accounting for hierarchical data structure, it separates genuine item bias from artificial DIF signals caused by ignoring clustering. | Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development. |
| ScholarGateНабор данных ↗ |
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