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Analisis Faktor Ganda×ANOVA Fuzzy×
BidangPsikometriPsikometri
KeluargaLatent structureLatent structure
Tahun asal19852011
PencetusBrigitte Escofier, Jérôme PagèsReinhard Viertl
TipeMultiblock dimension reductionAnalysis of variance for fuzzy data
Sumber perintisEscofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835Viertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802
AliasMFA, MFA multiple
Terkait54
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.Fuzzy ANOVA extends classical analysis of variance to fuzzy data where observations and group memberships are imprecise or uncertain. Developed by Viertl and others, Fuzzy ANOVA tests whether fuzzy-valued groups differ significantly while accounting for inherent measurement uncertainty.
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ScholarGateBandingkan metode: Multiple Factor Analysis · Fuzzy ANOVA. Diakses 2026-06-15 dari https://scholargate.app/id/compare