ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Analisis Faktor Eksploratori Multi-kumpulan (MGEFA)×Analisis Faktor Penerokaan (EFA)×
BidangPsikometrikStatistik
KeluargaLatent structureLatent structure
Tahun asal1981
PengasasMuthén & Christoffersson
JenisLatent variable / multi-group dimension reductionLatent variable / dimension reduction
Sumber perintisMuthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗Fabrigar, 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 ↗
AliasMGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groupscommon factor analysis, açımlayıcı faktör analizi, factor analysis
Berkaitan64
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.Exploratory 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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v2
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Multi-group EFA · EFA. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare