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Viacskupinová exploratórna faktorová analýza (MGEFA)×Konfirmačná faktorová analýza (KFA)×
OdborPsychometriaPsychometria
RodinaLatent structureLatent structure
Rok vzniku19811969
TvorcaMuthén & ChristofferssonKarl Gustav Jöreskog
TypLatent variable / multi-group dimension reductionHypothesis-testing latent variable model
Pôvodný zdrojMuthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Ďalšie názvyMGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groupsCFA, confirmatory FA, measurement model, restricted factor analysis
Príbuzné64
ZhrnutieMulti-group exploratory factor analysis estimates the latent factor structure of a set of items separately within each of two or more groups and then examines whether the discovered structures are consistent across groups. It is used to explore dimensionality before imposing invariance constraints, and to diagnose group-specific factor patterns that would invalidate cross-group comparisons.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.
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ScholarGatePorovnať metódy: Multi-group EFA · Confirmatory factor analysis. Získané 2026-06-17 z https://scholargate.app/sk/compare