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Višerazinska eksplorativna faktorska analiza (ML-EFA)×Експлоративна факторска анализа (ЕФА)×
OblastPsihometrijaStatistika
PorodicaLatent structureLatent structure
Godina nastanka1994
TvoracBengt O. Muthén
TipLatent variable / multilevel dimension reductionLatent variable / dimension reduction
Temeljni izvorMuthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. 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 ↗
Drugi naziviML-EFA, multilevel factor analysis, two-level exploratory factor analysis, hierarchical exploratory factor analysiscommon factor analysis, açımlayıcı faktör analizi, factor analysis
Srodne34
SažetakMultilevel exploratory factor analysis uncovers latent factor structures simultaneously at two or more levels of a data hierarchy — for example, both within individuals and between groups — without imposing a fixed structure in advance. It is essential whenever survey or test items are collected from respondents nested inside classrooms, organisations, or clinics.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.
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ScholarGateUporedite metode: Multilevel EFA · EFA. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare