Vertaile menetelmiä

	Monimuuttujamallianalyysi	Osittaisella pienimmän neliösumman rakenneyhtälömallinnus (PLS-SEM)
Tieteenala	Psykometriikka	Psykometriikka
Menetelmäperhe	Latent structure	Latent structure
Syntyvuosi	1985	1985
Kehittäjä	Brigitte Escofier, Jérôme Pagès	Herman Wold
Tyyppi	Multiblock dimension reduction	Component-based structural equation model
Alkuperäislähde	Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835	Hair, 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
Rinnakkaisnimet	MFA, MFA multiple	PLS-SEM, PLS path modeling
Liittyvät	5	5
Tiivistelmä	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.	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.