Partial Least Squares Structural Equation Modeling Plssem Using R A Workbook Joseph F Hair Jr by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray 9783030805197, 3030805190 instant download after payment.

This book is open access, which means that you have free and unlimited access.
Offers concise guidelines on how to apply and interpret PLS-SEM results.
Includes an llustrative step-by-step application of PLS-SEM within the R software environment
Draws on the highly user-friendly SEMinR package, co-developed by two of the co-authors.
Adopts a case study approach that focuses on the illustration of relevant analysis steps.
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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