Σύγκριση μεθόδων

	Επαληθευτική Ανάλυση Παραγόντων	Διερευνητική Ανάλυση Παραγόντων (EFA)
Πεδίο	Ψυχομετρία	Στατιστική
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1969	—
Δημιουργός	Karl Jöreskog	—
Τύπος	Measurement model / latent variable analysis	Latent variable / dimension reduction
Θεμελιώδης πηγή	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. ISBN: 978-1462515363	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Εναλλακτικές ονομασίες	Doğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testing	common factor analysis, açımlayıcı faktör analizi, factor analysis
Συναφείς	6	4
Σύνοψη	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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.