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Analisis Faktor Pelbagai×Analisis Kerelatifan×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal19851977
PengasasBrigitte Escofier, Jérôme PagèsAlbert van den Wollenberg
JenisMultiblock dimension reductionAsymmetric multivariate analysis
Sumber perintisEscofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835van den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219. DOI ↗
AliasMFA, MFA multipleRDA
Berkaitan55
RingkasanMultiple 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.Redundancy Analysis (RDA) is a multivariate technique developed by van den Wollenberg (1977) that combines multiple regression and principal component analysis. RDA finds linear combinations of predictor variables that best predict variation in response variables, making it ideal for understanding how sets of predictors collectively explain multivariate outcomes.
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ScholarGateBandingkan kaedah: Multiple Factor Analysis · Redundancy Analysis. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare