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 04-03-2013 ISBN: 9781452217444 $37.00
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). 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 m ...view middle of the document...
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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.
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"Rules of Thumb" in every chapter provide guidelines on best practices in the application and interpretation of PLS-SEM.•
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
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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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.
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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.
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
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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