Primer on Partial Least Squares Structural Equation Modeling (Pls-Sem)

PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM's distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text-the only comprehensive book available to explain the fundamental aspects of the method-includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).

List of contents

Chapter One: Structural Equation Modeling
Chapter Two: Specifying the Path Model and Collecting Data
Chapter Three: Path Model Estimation
Chapter Four: Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models
Chapter Five: Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models
Chapter Six: Assessing PLS-SEM Results Part III: Evaluation of the Structural Model
Chapter Seven: Advanced Topics in PLS Path Modeling
Chapter Eight: Modeling Heterogeneous Data

About the author

Report

The text is well written and relatively easy to understand. It provides abundant information without being overwhelming. It is very current. Eleanor Witta 20121121

Product details

• Authors: Joseph (Joe) F. Hair, Joseph F. Hair, Joseph F. Hult Hair, Prof Joseph F. Hair, Prof Joseph F. Hult Hair, G. Tomas M. Hult, Christian Ringle, Christian M. Ringle, Marko Sarstedt
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 14.05.2013
• EAN: 9781452217444
• ISBN: 978-1-4522-1744-4
• No. of pages: 328
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Basic principles