方法对比
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| 多群体克朗巴赫 Alpha 系数× | 多组验证性因子分析 (MG-CFA)× | |
|---|---|---|
| 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 | 1971 |
| 提出者≠ | Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research | Karl Jöreskog |
| 类型≠ | Reliability / internal consistency comparison | Measurement model / invariance test |
| 开创性文献≠ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | 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 ↗ |
| 别名 | group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| 相关≠ | 4 | 6 |
| 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. | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. |
| ScholarGate数据集 ↗ |
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