000			01522nam a2200277Ia 4500
003			OSt
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020			_a9781452217444
082			_a519.535 HAI-P
100			_aHair, Joseph F
245		2	_aA Primer on partial least squares structural equares modeling
260			_aNew Delhi: _bSage Publications, _c2014.
300			_axvi, 307p.
520			_aA 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).
650			_aStructural equation modeling _995323
650			_aPartial least squares _995324
650			_aMultivariate analysis _995325
650			_aStatistical methods _995326
650			_aRegression analysis _995327
700			_aHult, G Thomas M _995328
700			_aRingle, Christian M _995329
700			_aSarstedt, Marko _995330
942			_cBK
999			_c50408 _d50408