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

Released on by Joseph F. Hair Jr.
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  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Book Detail

  • Author : Joseph F. Hair Jr.
  • Release Date : 2021-11-03
  • Publisher : Springer Nature
  • Genre : Business & Economics
  • Pages : 208
  • ISBN 13 : 3030805190
  • File Size : 52,52 MB
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R by Joseph F. Hair Jr. PDF Summary

Book Description: 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’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

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