A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

Publication Year:
2014
Usage 500
Abstract Views 500
Repository URL:
https://digitalcommons.kennesaw.edu/facbooks2014/39; https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=1038&context=facbooks2014
Author(s):
Hair, Joseph F.; Hult, G. Thomas M.; Ringle, Christian; Sarstedt, Marko
Publisher(s):
Sage
Tags:
Business; Management Information Systems
article description
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 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).