方法对比
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| 多层级麦当劳Omega系数× | 多层验证性因子分析 (MCFA)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1999 (omega); 2014 (multilevel extension) | 1994 |
| 提出者≠ | Roderick P. McDonald (omega); multilevel extension by Geldhof, Preacher & Zyphur | Bengt O. Muthen |
| 类型≠ | Reliability coefficient | Latent variable model / measurement model |
| 开创性文献≠ | Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗ | Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗ |
| 别名 | multilevel omega, omega within, omega between, hierarchical omega | MCFA, multilevel measurement model, two-level CFA, hierarchical CFA |
| 相关≠ | 3 | 6 |
| 摘要≠ | Multilevel McDonald's omega estimates reliability at two distinct levels — within groups and between groups — for scales administered to individuals nested in clusters such as classrooms, teams, or organizations. It accounts for the non-independence induced by grouping and avoids the bias that single-level omega produces in clustered data. | Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations. |
| ScholarGate数据集 ↗ |
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