A Primer on partial least squares structural equares modeling

Hair, Joseph F

A Primer on partial least squares structural equares modeling - New Delhi: Sage Publications, 2014. - xvi, 307p.

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).

9781452217444


Structural equation modeling
Partial least squares
Multivariate analysis
Statistical methods
Regression analysis

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