Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook

by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray

An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.

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Year of publication:	2021 ; 1st ed. 2021.
Authors:	Hair, Joseph F. ; Hult, G. Tomas M. ; Ringle, Christian M. ; Sarstedt, Marko ; Danks, Nicholas P. ; Ray, Soumya
Publisher:	2021.: Cham : Springer International Publishing 2021.: Cham : Imprint: Springer
Subject:	Strukturgleichungsmodell \| Structural equation model \| Kleinste-Quadrate-Methode \| Least squares method \| Partielle kleinste Quadrate \| Partial least squares \| Theorie \| Theory \| Methode der partiellen kleinsten Quadrate

Extent:	1 Online-Ressource(XIV, 197 p. 77 illus., 51 illus. in color.)
Series:	Classroom Companion: Business Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
Notes:	Open Access
ISBN:	978-3-030-80519-7 ; 978-3-030-80518-0 ; 978-3-030-80520-3
Other identifiers:	10.25673/78585 [DOI] 10.1007/978-3-030-80519-7 [DOI]
Classification:	Methoden und Techniken der Betriebswirtschaft ; Marketing ; Partielle Differentialgleichungen
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012660158