A primer on partial least squares structural equation modeling (PLS-SEM)
Abstract
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).
Cite this
Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt (2014). A primer on partial least squares structural equation modeling (PLS-SEM). DigitalCommons - Kennesaw State University (Kennesaw State University).
@article{f2014a,
title = {A primer on partial least squares structural equation modeling (PLS-SEM)},
author = {Hair, Joseph F. and Hult, G. Tomas M. and Ringle, Christian M. and Sarstedt, Marko},
year = {2014},
journal = {DigitalCommons - Kennesaw State University (Kennesaw State University)}
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