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Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)×Μοντελοποίηση Δομικών Εξισώσεων (SEM)×
ΠεδίοΨυχομετρίαΣτατιστική
ΟικογένειαLatent structureLatent structure
Έτος προέλευσης19691970
ΔημιουργόςKarl Gustav JöreskogKarl Jöreskog (LISREL framework, 1970s)
ΤύποςHypothesis-testing latent variable modelLatent variable / causal modeling
Θεμελιώδης πηγήJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Εναλλακτικές ονομασίεςCFA, confirmatory FA, measurement model, restricted factor analysisYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Συναφείς45
ΣύνοψηConfirmatory 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.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: Confirmatory factor analysis · SEM. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare