So sánh phương pháp

	Phân tích nhân tố xác nhận mạnh mẽ	Phân tích nhân tố khám phá mạnh mẽ
Lĩnh vực	Thống kê	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	1984–1994	2000–2003
Người khởi xướng	Satorra & Bentler (robust SE/chi-square corrections); Browne (ADF estimator)	Pison, Rousseeuw, Filzmoser, and Croux; Yuan and Bentler (parallel streams)
Loại	Confirmatory latent variable model with robust estimation	Latent variable / dimension reduction (robust)
Công trình gốc	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: Applications for developmental research (pp. 399–419). Sage.	Yuan, K.-H., & Bentler, P. M. (2000). Robust mean and covariance structure analysis through iteratively reweighted least squares. Psychometrika, 65(1), 43–58.
Tên gọi khác	Robust CFA, CFA with robust standard errors, Satorra-Bentler CFA, non-normal CFA	robust EFA, robust factor analysis, outlier-resistant factor analysis, EFA with robust estimation
Liên quan	6	4
Tóm tắt	Robust confirmatory factor analysis fits a pre-specified factor structure to observed data while correcting standard errors and goodness-of-fit statistics for violations of multivariate normality. It is the preferred variant of CFA whenever Likert-type, skewed, or kurtotic indicators make the classical normal-theory estimator unreliable.	Robust exploratory factor analysis discovers the latent factor structure of a set of items using estimation methods that are resistant to outliers and violations of multivariate normality. It applies the same measurement model as standard EFA but replaces classical covariance estimation with robust counterparts — such as minimum covariance determinant or iteratively reweighted least squares — so that a small fraction of atypical cases cannot distort the recovered factor loadings.