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Analiza Faktoriale Eksploratore (AFE)×Modelimi me Ekuacione Strukturore (SEM)×
FushaStatistikëStatistikë
FamiljaLatent structureLatent structure
Viti i origjinës1970
KrijuesiKarl Jöreskog (LISREL framework, 1970s)
LlojiLatent variable / dimension reductionLatent variable / causal modeling
Burimi themeluesFabrigar, 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. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Emërtime të tjeracommon factor analysis, açımlayıcı faktör analizi, factor analysisYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Të lidhura45
PërmbledhjaExploratory 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.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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ScholarGateKrahasoni metodat: EFA · SEM. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare