เปรียบเทียบวิธี

	การวิเคราะห์ปัจจัยแบบทนทาน	Factor Analysis
สาขาวิชา	สถิติศาสตร์	สถิติการวิจัย
ตระกูล	Regression model	Process / pipeline
ปีกำเนิด	2003	1931
ผู้ริเริ่ม	Pison, Rousseeuw, Filzmoser & Croux	Louis Leon Thurstone
ประเภท	Robust latent-factor model	Method
แหล่งต้นตำรับ	Pison, G., Rousseeuw, P. J., Filzmoser, P., & Croux, C. (2003). Robust factor analysis. Journal of Multivariate Analysis, 84(1), 145-172.	Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press.
ชื่อเรียกอื่น	robust factor analysis, outlier-resistant factor analysis, MCD-based factor analysis, Robust Faktör Analizi	EFA, CFA, latent variable modeling
ที่เกี่ยวข้อง	5	3
สรุป	Robust Factor Analysis recovers the latent factor structure of multivariate continuous data while resisting the distorting pull of outliers. Introduced by Pison, Rousseeuw, Filzmoser and Croux (2003), it replaces the classical sample covariance with a robust estimator such as the Minimum Covariance Determinant (MCD) or an S-estimator before extracting factors.	Factor analysis is a statistical technique for identifying latent (unobserved) dimensions underlying observed variables, developed by Louis Leon Thurstone in the 1930s and formalized by Jöreskog (1969). Exploratory factor analysis (EFA) discovers unknown factor structure from data; confirmatory factor analysis (CFA) tests hypothesized relationships between observed and latent variables. Essential in psychometrics (test development), organizational research (measuring constructs like leadership style), and biomedicine (identifying disease subtypes), factor analysis reduces dimensionality while revealing conceptual organization in multivariate data.