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ANOVA Kabur×Pemodelan Persamaan Struktural Kuasa Dua Separa×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal20111985
PengasasReinhard ViertlHerman Wold
JenisAnalysis of variance for fuzzy dataComponent-based structural equation model
Sumber perintisViertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
AliasPLS-SEM, PLS path modeling
Berkaitan45
RingkasanFuzzy 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.PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.
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ScholarGateBandingkan kaedah: Fuzzy ANOVA · Partial Least Squares Structural Equation Modeling. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare