方法对比
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| 多群体克朗巴赫 Alpha 系数× | 差异项目功能 (DIF)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1951 (alpha); multi-group application from 1980s onward | 1970s–1993 |
| 提出者≠ | Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 类型≠ | Reliability / internal consistency comparison | Item-level bias detection |
| 开创性文献≠ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 别名 | group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 相关≠ | 4 | 5 |
| 摘要≠ | Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons. | 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. |
| ScholarGate数据集 ↗ |
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