2012
DOI: 10.1016/j.lrp.2012.09.010
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Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods

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Cited by 602 publications
(523 citation statements)
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References 58 publications
(53 reference statements)
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“…First, we had a composite measurement model. Both theoretical studies [97][98][99] and empirical simulation studies [100,101] recommend and support the use of PLS for composite models. Second, as per Chin's [102] indications, we used PLS because we employed latent variable scores in subsequent analysis for modeling a second-order multidimensional construct, applying the higher-order component two-stage approach [103].…”
Section: Discussionmentioning
confidence: 99%
“…First, we had a composite measurement model. Both theoretical studies [97][98][99] and empirical simulation studies [100,101] recommend and support the use of PLS for composite models. Second, as per Chin's [102] indications, we used PLS because we employed latent variable scores in subsequent analysis for modeling a second-order multidimensional construct, applying the higher-order component two-stage approach [103].…”
Section: Discussionmentioning
confidence: 99%
“…The PLS-SEM estimation was conducted mainly according to the six steps proposed by related scholars: (1) check for multicollinearity problems; (2) check the significance of the standardized path coefficient (β); (3) test the size of the 2 value and the path coefficients; (4) estimate the 2 effect size; (5) evaluate the predictive relevance ( 2 ); (6) examine the indicator of Goodness of Fit (Rigdon, 2012;Hair, Ringle, & Sarstedt, 2011). Collinearity could be evaluated by using the variance inflation factor (VIF) to investigate if a collinearity problem exists.…”
Section: The Test Of Structural Model Path Coefficientsmentioning
confidence: 99%
“…Rigdon (2012) provides a perspective on this equation when he says, On the surface, covariances count twice. However, the variances themselves can be divided into shared variance and unshared or unique variance.…”
mentioning
confidence: 99%