Multicollinearity in models with only reflective constructs

[Ned Kock]

> I am looking for peer review paper to support the suggestion that multicollinearity test is not appropriate for reflective measurement model.

 

Testing for multicollinearity among latent variables (LVs) is VERY important, whether the measurement approach used is reflective or formative.

 

Moreover, it is important to conduct a test that identifies both vertical and lateral collinearity among LVs.

 

In WarpPLS this is done through the calculation of full collinearity variance inflation factors (VIFs), which can also be used to identify common method bias.

 

Of course I am talking about multicollinearity among LVs, not among the indicators of a reflectively measured LV. The latter are in fact expected to be redundant if psychometrically sound measures are used.

 

I hope that the materials linked below can be of use in connection with this.

 

Kock, N., & Lynn, G.S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.

 

http://www.scriptwarp.com/warppls/pubs/Kock_Lynn_2012.pdf

 

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.

 

https://drive.google.com/file/d/0B76EXfrQqs3hYlZhTWdWcXRockU/view

 

User Manual (link to specific page):

 

http://www.scriptwarp.com/warppls/UserManual_v_5_0.pdf#page=66

 

Solve Collinearity Problems in WarpPLS (video)

 

http://www.youtube.com/watch?v=avPWO324E0g

 

The links above, as well as other links that may be relevant in this context, are available from:

 

http://warppls.com/

 

[Schuberth Florian]

Dear Ned and all,

 

yes you are right. To make clear, my earlier post concerns multicollinearity among the indicators of a reflectively measured LV.

 

Kind regards,

Florian   

---------------------------------

Florian Schuberth

Research Assistant

Chair of Econometrics, Room 498a

University of Wuerzburg

Sanderring 2

97070 Wuerzburg, Germany

Phone: +49(0)931/31-89911

Email: florian....@uni-wuerzburg.de

>>> Ned Kock <ned...@gmail.com> 28.01.2016 15:30 >>>

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