So sánh phương pháp

	Phân tích nhân tố xác nhận mạnh mẽ	Mô hình phương trình cấu trúc
Lĩnh vực	Thống kê	Thống kê nghiên cứu
Họ	Latent structure	Process / pipeline
Năm ra đời	1984–1994	1921
Người khởi xướng	Satorra & Bentler (robust SE/chi-square corrections); Browne (ADF estimator)	Sewall Wright
Loại	Confirmatory latent variable model with robust estimation	Method
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.	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.
Tên gọi khác	Robust CFA, CFA with robust standard errors, Satorra-Bentler CFA, non-normal CFA	SEM, path analysis, latent variable modeling, causal modeling
Liên quan	6	3
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.	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.