Partial Least Squares Structural Equation Modeling PLS SEM Using R 1st edition by Joseph Hair, Tomas Hult 9783030805203

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ISBN 10: 9783030805203
ISBN 13: 9783030805203
Author: Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray

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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

Partial Least Squares Structural Equation Modeling PLS SEM Using R 1st Table of contents:

1. An Introduction to Structural Equation Modeling
2. Overview of R and RStudio
3. The SEMinR Package
4. Evaluation of Reflective Measurement Models
5. Evaluation of Formative Measurement Models
6. Evaluation of the Structural Model
7. Mediation Analysis
8. Moderation Analysis

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