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A Primer on Partial Least Squares Structural Equation Modeling
Book · January 2014
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A Primer on Partial Least Squares Structural
Equation Modeling (PLS-SEM)
Joseph F. Hair, Jr.
Kennesaw State University
G. Tomas M. Hult
Michigan State University, East Lansing
Christian Ringle
Hamburg University of Technology (TUHH), Germany
Marko Sarstedt
Otto-von-Guericke University, Magdeburg
Paperback
04-02-2013
ISBN: 9781452217444
$38.00
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), by Hair, Hult, Ringle, and Sarstedt,
provides a concise yet very practical guide to understanding and using PLS structural equation modeling (PLS-SEM). PLSSEM 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 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).
INDEPENDENT CUSTOMER REVIEWS
The book is well done and good for students who are no experts in statitics - Professor Udo Wagner, Faculty of Business,
Economics and Statistics, University of Vienna
This is great text book, very clear, comprehensive, and can be used both by the new to the field and as a handbook by those
who already know the basic concepts. I have recommended this book to my Master students who are writing their
dissertations and they were very pleased with it. - Mr Carlos Cândido, Faculty of Economics, University of the Algarves
Excellent book covering both material and software previously unavailable in a quality textbook - Dr Mark Matthews, Clg Of
Psych Behavioral Sci, Argosy University - Dallas
TABLE 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
For more information about this title, please visit sagepub.com
To order, create a SAGE account at sagepub.com/myaccount, or contact Customer Service at (800) 818-7243 or (805) 499-9774.
- Page 1 -
A Primer on Partial Least Squares Structural
Equation Modeling (PLS-SEM)
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
FEATURES/NEW TO THIS EDITION
KEY FEATURES:
• This title provides simple instructions on how to use the SmartPLS software to obtain solutions, and to prepare manuscripts
using the technique for submission to journals.
•Designed to be easily understood even by those with limited statistical and mathematical training, the authors have limited
the use of formulas, equations, Greek symbols, and similar notations.
•“Rules of Thumb” in every chapter provide guidelines on best practices in the application and interpretation of PLS-SEM.
•Chapters are organized around learning outcomes to simplify learning the concepts, and statistical terms. Concepts are
consistently defined in simple words to facilitate an understanding of the method.
•The book’s website includes many supplements and datasets to facilitate learning and teaching, and provides support to
professors in the form of Microsoft® PowerPoint slides as well as an Instructor Guide that can be posted to their websites.
For more information about this title, please visit sagepub.com
To order, create a SAGE account at sagepub.com/myaccount, or contact Customer Service at (800) 818-7243 or (805) 499-9774.
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