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Analisis Kerelatifan×Analisis Faktor Pelbagai×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal19771985
PengasasAlbert van den WollenbergBrigitte Escofier, Jérôme Pagès
JenisAsymmetric multivariate analysisMultiblock dimension reduction
Sumber perintisvan den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219. DOI ↗Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835
AliasRDAMFA, MFA multiple
Berkaitan55
RingkasanRedundancy 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.Multiple 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.
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ScholarGateBandingkan kaedah: Redundancy Analysis · Multiple Factor Analysis. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare