Compară metode

	Analiza factorială exploratorie ordinală	Analiza factoriala confirmatorie (CFA)
Domeniu	Psihometrie	Psihometrie
Familie	Latent structure	Latent structure
Anul apariției	1978–1984	1969
Autorul original	Bengt Muthén	Karl Gustav Jöreskog
Tip	Latent variable / dimension reduction	Hypothesis-testing latent variable model
Sursa seminală	Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Denumiri alternative	ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data	CFA, confirmatory FA, measurement model, restricted factor analysis
Înrudite	5	4
Rezumat	Ordinal exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses.	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.