A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) / Joe Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt

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 (www.pls-sem.com).
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