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Latent structureMultivariate analysis

稳健结构方程模型

稳健结构方程模型(Robust SEM)应用了完整的 SEM 框架——即同时估计潜在变量之间的测量关系和结构关系——同时使用在观测数据偏离多元正态分布时仍然有效的校正检验统计量和sandwich标准误。Satorra-Bentler缩放卡方是应用最广泛的校正方法。

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来源

  1. Satorra, A. & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis (pp. 399–419). Sage. link
  2. Yuan, K.-H. & Bentler, P. M. (1998). Normal theory based test statistics in structural equation modelling. British Journal of Mathematical and Statistical Psychology, 51(2), 289–309. DOI: 10.1111/j.2044-8317.1998.tb00682.x

如何引用本页

ScholarGate. (2026, June 3). Robust Structural Equation Modeling. ScholarGate. https://scholargate.app/zh/statistics/robust-structural-equation-modeling

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被引用于

ScholarGateRobust Structural Equation Modeling (Robust Structural Equation Modeling). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-structural-equation-modeling · 数据集: https://doi.org/10.5281/zenodo.20539026