I'm thinking of checking the CMV of my research and happened to notice that there is a paper of using "Full Collinearity VIF" to assess the CMV.
Author = Kock, N.
Title = Common method bias in PLSSEM: A full collinearity assessment approach
Journal = Laredo, TX: ScriptWarp Systems
Year = 2015
Pages = 111
The information was kindly provided by one of the expert here > viewtopic.php?f=7&t=21&p=11792&hilit=cmv#p11792
The question is, can smartpls provide the "Full Collinearity VIF" figures? If yes, how can I get it?
Thanks!
Full Collinearity VIF

 SmartPLS Developer
 Posts: 971
 Joined: Tue Mar 28, 2006 11:09 am
 Real name and title: Dr. JanMichael Becker
Re: Full Collinearity VIF
It is not implemented in SmartPLS. We think that there is not sufficient evidence of the usefulness of the "Full Collinearity VIF" statistics and we do not want to bother researchers with unestablished indices.
However, it is quite easy to calculate. To get these VIFs you need to copy the latent variable correlations (which you get in the PLS output under Latent Variables > second Tab “Latent Variable Correlations”) into a software that can calculate matrix operations (as for example MS Excel). Then simply calculate the matrix inverse of the correlation matrix of all latent variables. The diagonal elements are the "Full Collinearity VIF" values for each LV.
However, it is quite easy to calculate. To get these VIFs you need to copy the latent variable correlations (which you get in the PLS output under Latent Variables > second Tab “Latent Variable Correlations”) into a software that can calculate matrix operations (as for example MS Excel). Then simply calculate the matrix inverse of the correlation matrix of all latent variables. The diagonal elements are the "Full Collinearity VIF" values for each LV.
Dr. JanMichael Becker, University of Cologne, SmartPLS Developer
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Researchgate: https://www.researchgate.net/profile/Ja ... v=hdr_xprf
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Re: Full Collinearity VIF
Thank you professor jmbecker! I'll follow your suggestion.jmbecker wrote: ↑Wed Jan 31, 2018 1:16 pmIt is not implemented in SmartPLS. We think that there is not sufficient evidence of the usefulness of the "Full Collinearity VIF" statistics and we do not want to bother researchers with unestablished indices.
However, it is quite easy to calculate. To get these VIFs you need to copy the latent variable correlations (which you get in the PLS output under Latent Variables > second Tab “Latent Variable Correlations”) into a software that can calculate matrix operations (as for example MS Excel). Then simply calculate the matrix inverse of the correlation matrix of all latent variables. The diagonal elements are the "Full Collinearity VIF" values for each LV.