เปรียบเทียบวิธี

	การวิเคราะห์เส้นทางที่ทนทาน (Robust Path Analysis)	Robust Confirmatory Factor Analysis
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Latent structure	Latent structure
ปีกำเนิด	1998	1984–1994
ผู้ริเริ่ม	Yuan & Bentler (robust SEM/path framework); Huber (M-estimation foundation)	Satorra & Bentler (robust SE/chi-square corrections); Browne (ADF estimator)
ประเภท	Causal path modeling with robust estimation	Confirmatory latent variable model with robust estimation
แหล่งต้นตำรับ	Yuan, K.-H. & Bentler, P. M. (1998). Robust mean and covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 51(1), 63–88.	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.
ชื่อเรียกอื่น	robust PA, path analysis with robust standard errors, robust causal path modeling, robust structural path modeling	Robust CFA, CFA with robust standard errors, Satorra-Bentler CFA, non-normal CFA
ที่เกี่ยวข้อง	6	6
สรุป	Robust path analysis applies robust estimation — such as sandwich standard errors or M-estimation — to path models that specify directed causal relationships among observed variables. It preserves valid inference about path coefficients and indirect effects when data violate normality, contain outliers, or exhibit heteroscedasticity that would distort conventional standard errors.	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.