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 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 ( ).
Einstein said that things should be made as simple as possible - but no simpler. I suspect that Joseph Hair and his co-authors have made partial least squares as simple as possible in their Primer. At the same time, some of their material is very challenging to follow.
I gave this book a thorough reading, but I haven’t gotten a copy of the SmartPLS software. I’m going to reread the book when I get the software and work on some analyses as I go through the book a second time. I think that my understanding will be much improved.
The first reading was worth my time. I learned a lot, but still have miles to travel before I become proficient at PLS-SEM.
This book is very essential for Smart PLS users, it doesn't cover the literature of the Partial Least Squares (PLS) and Structural Equation Modeling (SEM), it also guides the users to use the software properly. It is the bible of Smart PLS for postgraduate students.