Comparar métodos

	Teoría de la Generalizabilidad (G-Theory)	Análisis Factorial Confirmatorio
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	1963	1969
Autor original	Lee J. Cronbach and colleagues	Karl Jöreskog
Tipo	ANOVA-based variance-component framework	Measurement model / latent variable analysis
Fuente seminal	Brennan, R. L. (2001). Generalizability Theory. Springer.	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. ISBN: 978-1462515363
Alias	Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)	Doğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testing
Relacionados	6	6
Resumen	Generalizability Theory, developed by Lee J. Cronbach and colleagues in the 1960s and formalised by Brennan (2001), is an ANOVA-based framework that extends Classical Test Theory by decomposing observed score variance into multiple, separately identified sources of measurement error — such as raters, tasks, occasions, or items — rather than bundling all error into a single undifferentiated term.	Confirmatory factor analysis is a measurement modelling technique that tests whether a hypothesised factor structure — typically derived from theory or an earlier exploratory analysis — fits observed data from a new sample. Developed by Karl Jöreskog in 1969, it became the dominant tool for validating psychological scales because it requires the researcher to specify in advance which items belong to which latent factor and then assesses the adequacy of that specification against explicit statistical fit criteria.