https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Goodness-of-fit indices for partial least squares path modeling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28730 rel), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoFrel are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data.]]> Wed 11 Apr 2018 16:02:00 AEST ]]> A new criterion for assessing discriminant validity in variance-based structural equation modeling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28907 Thu 21 Jul 2022 15:37:44 AEST ]]> On the emancipation of PLS-SEM: a commentary on Rigdon (2012) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17377 Sat 24 Mar 2018 08:01:31 AEDT ]]> Common beliefs and reality about PLS: comments on Rönkkö and Evermann (2013) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20627 Sat 24 Mar 2018 07:55:47 AEDT ]]> Testing measurement invariance of composites using partial least squares https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29885 Sat 24 Mar 2018 07:33:47 AEDT ]]> Prediction-oriented modeling in business research by means of PLS path modeling: introduction to a JBR special section https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25009 Sat 24 Mar 2018 07:10:40 AEDT ]]>