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Επιβεβαιωτική Ανάλυση Παραγόντων (CFA)×Μοντελοποίηση Δομικών Εξισώσεων (SEM)×
ΠεδίοΣτατιστικήΣτατιστική
ΟικογένειαLatent structureLatent structure
Έτος προέλευσης19691970
ΔημιουργόςKarl JöreskogKarl Jöreskog (LISREL framework, 1970s)
ΤύποςConfirmatory latent variable modelLatent variable / causal modeling
Θεμελιώδης πηγήBrown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Εναλλακτικές ονομασίεςDoğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modelYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Συναφείς45
ΣύνοψηConfirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGateΣύγκριση μεθόδων: CFA · SEM. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare