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Višestruka faktorska analiza×Istraživačko modeliranje strukturalnih jednadžbi×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka19852009
TvoracBrigitte Escofier, Jérôme PagèsTihomir Asparouhov, Bengt Muthén
VrstaMultiblock dimension reductionHybrid exploratory-confirmatory factor modeling
Temeljni izvorEscofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438. DOI ↗
Drugi naziviMFA, MFA multipleESEM
Srodne55
SažetakMultiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives.Exploratory Structural Equation Modeling (ESEM) is a hybrid approach that combines exploratory factor analysis (EFA) with confirmatory factor analysis (CFA) and path modeling, developed by Asparouhov and Muthén (2009). ESEM relaxes restrictive zero-loading assumptions of traditional CFA, allowing all indicators to load on all factors, which can reveal cross-factor complexity and improve model fit while retaining the ability to test substantive structural theories.
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ScholarGateUsporedite metode: Multiple Factor Analysis · Exploratory Structural Equation Modeling. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare