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

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: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Classroom Companion: Business,
Subjects:
Marketing.
Statistics .
Econometrics.
Statistics and Computing/Statistics Programs.
Electronic books.
Online Access:Connect to the full text of this electronic book
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.