Latent structureMultivariate analysis
稳健路径分析
稳健路径分析将稳健估计(如三明治标准误或 M 估计)应用于指定观测变量之间有向因果关系的路径模型。当数据违反正态性、包含异常值或表现出可能扭曲常规标准误的异方差性时,它能保持路径系数和间接效应的有效推断。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Yuan, K.-H. & Bentler, P. M. (1998). Robust mean and covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 51(1), 63–88. DOI: 10.1111/j.2044-8317.1998.tb00667.x ↗
- Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
如何引用本页
ScholarGate. (2026, June 3). Robust Path Analysis. ScholarGate. https://scholargate.app/zh/statistics/robust-path-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 中介分析统计学↔ compare
- 路径分析统计学↔ compare
- 稳健的验证性因子分析统计学↔ compare
- 稳健中介分析统计学↔ compare
- 稳健结构方程模型统计学↔ compare
- 结构方程模型研究统计学↔ compare