方法对比
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| 多群体信度分析× | 多群体克朗巴赫 Alpha 系数× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1990s–2000s | 1951 (alpha); multi-group application from 1980s onward |
| 提出者≠ | Classical test theory traditions; synthesized in modern practice by Vandenberg & Lance (2000) and Sijtsma (2009) | Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research |
| 类型≠ | Reliability estimation and comparison | Reliability / internal consistency comparison |
| 开创性文献≠ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ |
| 别名 | reliability comparison across groups, group-specific reliability estimation, multi-sample reliability analysis, cross-group internal consistency | group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha |
| 相关 | 4 | 4 |
| 摘要≠ | Multi-group reliability analysis estimates internal consistency or stability coefficients separately within each group and then formally compares them to determine whether a scale functions with equal precision across populations. It is a foundational step in cross-group measurement research, typically carried out alongside or prior to measurement invariance testing. | 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. |
| ScholarGate数据集 ↗ |
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