Latent structureScale / measurement
稳健探索性因子分析
稳健探索性因子分析（Robust exploratory factor analysis）利用对异常值和多元正态性违反具有抵抗力的估计方法，来发现一组条目的潜在因子结构。它应用与标准EFA相同的测量模型，但用稳健的对应物（如最小协方差行列式或迭代重加权最小二乘法）替换经典的协方差估计，从而使一小部分异常案例无法扭曲恢复的因子载荷。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Yuan, K.-H., & Bentler, P. M. (2000). Robust mean and covariance structure analysis through iteratively reweighted least squares. Psychometrika, 65(1), 43–58. DOI: 10.1007/bf02294185 ↗
- Pison, G., Rousseeuw, P. J., Filzmoser, P., & Croux, C. (2003). Robust factor analysis. Journal of Multivariate Analysis, 84(1), 145–172. DOI: 10.1016/S0047-259X(02)00007-6 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Exploratory Factor Analysis. ScholarGate. https://scholargate.app/zh/psychometrics/robust-exploratory-factor-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.
Compare side by side →