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	सामान्यीकरण सिद्धांत (जी-सिद्धांत)	पुष्टिकारीय कारक विश्लेषण (CFA)
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1963–1972	1969
प्रवर्तक	Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam	Karl Gustav Jöreskog
प्रकार	Variance-components reliability model	Hypothesis-testing latent variable model
मौलिक स्रोत	Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
उपनाम	G-theory, G-study / D-study framework, variance components reliability	CFA, confirmatory FA, measurement model, restricted factor analysis
संबंधित	4	4
सारांश	Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.