Structural Equation Modelling with Partial Least Squares Using Stata and R

PLS-SEM is a popular statistical framework for estimating models with latent variables, observed variables, or a combination of these. This book provides a practical guide to using PLS-SEM, with explanations of the methodology, examples, and software packages for both Stata and R. It is primarily aimed at researchers and graduate students in statistics, social science, psychology, and other disciplines.

Format: Hardback
Length: 347 pages
Publication date: 08 February 2021
Publisher: Apple Academic Press Inc.

Partial least squares structural equation modeling (PLS-SEM) is gaining widespread popularity across various social science fields and disciplines. Its appeal lies in its ability to estimate models encompassing latent variables, observed variables, or a combination of these. This popularity is expected to surge further with the development of more robust estimation techniques, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily accessible through open-source and commercial software packages.

This comprehensive book presents PLS-SEM as a valuable practical statistical toolbox suitable for estimating diverse research models. By providing the necessary technical prerequisites and theoretical treatment of various PLS-SEM aspects, the authors facilitate its practical applications. What sets this book apart is its extensive explanation and practical usage of comprehensive Stata (plssem) and R (cSEM and plspm) packages for conducting PLS-SEM analysis. The book's primary objective is to assist readers in understanding the mechanics of PLS-SEM and applying it for publication purposes.

Key Features:
• Intuitive and technical explanations of PLS-SEM methods
• Thorough explanations of Stata and R packages
• Numerous example applications of the methodology
• Detailed interpretation of software output
• Reporting of a PLS-SEM study
• Github repository for supplementary book material

This book is primarily designed for researchers and graduate students from statistics, social science, psychology, and related disciplines. While technical details have been relegated to appendices, they are still accessible to readers with a basic understanding of statistics. By offering a comprehensive and practical guide to PLS-SEM, this book empowers researchers to harness the power of this statistical framework for their research endeavors.

Weight: 718g
Dimension: 161 x 242 x 30 (mm)
ISBN-13: 9781482227819