विधियों की तुलना करें

	पथ विश्लेषण	Structural Equation Modeling
क्षेत्र	सांख्यिकी	अनुसंधान सांख्यिकी
परिवार	Latent structure	Process / pipeline
उद्भव वर्ष	1921	1921
प्रवर्तक	Sewall Wright	Sewall Wright
प्रकार	Causal / mediation model	Method
मौलिक स्रोत	Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585.	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.
उपनाम	PA, path coefficient analysis, observed-variable SEM, causal path modeling	SEM, path analysis, latent variable modeling, causal modeling
संबंधित	5	3
सारांश	Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference.	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.