Partial Least Squares Structural Equation Modeling (Pls-Sem) Using R: A Workbook

by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle

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.

• Format: Hardcover
• Language: English
• ISBN: 3030805182
• ISBN13: 9783030805180
• Release Date: November 2021
• Publisher: Springer
• Length: 197 Pages
• Weight: 1.05 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"