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Analisis Faktor Eksploratori Multi-Grup (MGEFA)×Analisis Faktor Konfirmatori (CFA)×
BidangPsikometriPsikometri
KeluargaLatent structureLatent structure
Tahun asal19811969
PencetusMuthén & ChristofferssonKarl Gustav Jöreskog
TipeLatent variable / multi-group dimension reductionHypothesis-testing latent variable model
Sumber perintisMuthén, 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 ↗
AliasMGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groupsCFA, confirmatory FA, measurement model, restricted factor analysis
Terkait64
RingkasanMulti-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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ScholarGateBandingkan metode: Multi-group EFA · Confirmatory factor analysis. Diakses 2026-06-17 dari https://scholargate.app/id/compare