Latent structureScale / measurement
多层探索性因子分析 (ML-EFA)
多层探索性因子分析 (ML-EFA) 可同时揭示数据层级中两个或多个层级的潜在因子结构——例如，个体内部和群体之间——而无需预先设定固定结构。当调查或测试题目来自嵌套在教室、组织或诊所中的受访者时，ML-EFA 至关重要。
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来源
- Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI: 10.1177/0049124194022003006 ↗
- Ryu, E. & West, S. G. (2009). Level-specific evaluation of model fit in multilevel structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(4), 583–601. DOI: 10.1080/10705510903203466 ↗
如何引用本页
ScholarGate. (2026, June 3). Multilevel Exploratory Factor Analysis. ScholarGate. https://scholargate.app/zh/psychometrics/multilevel-exploratory-factor-analysis
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