Master Partial Least Squares Structural Equation Modeling (PLS-SEM) with this comprehensive workbook. This practical 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. Learn to estimate complex models and utilize the SEMinR package for user-friendly syntax in creating and estimating structural equation models. Key Features: * Step-by-step guidance for PLS-SEM analysis in R. * Utilizes the user-friendly SEMinR package. * In-depth case studies for practical application. * Rules of thumb for best practices and interpretation. This workbook is ideal for researchers and students seeking to confidently apply and interpret PLS-SEM in their studies. Enhance your analytical skills with this essential resource. Summary: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, First edition, Hardcover, 197 pages, English, Published 04/11/2021 by Springer Cham. Written by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. ISBN: 9783030805180.