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

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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method�...

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Bibliographic Details
Main Authors: Hair Jr., Joseph F. (Author), Hult, G. Tomas M. (Author), Ringle, Christian M. (Author), Sarstedt, Marko (Author), Danks, Nicholas P. (Author), Ray, Soumya (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Classroom Companion: Business,
Subjects:
Marketing.
Statistics > Computer programs.
Econometrics.
Statistical Software.
Online Access:Link to Metadata
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Table of Contents:
  • 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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