After googling with rather limited success I hope for a hint here:
I want to make an analysis that is analogous to a Multigroup Comparison. The difference is that I distinguish not between groups but want to compare models for 2 different dependent variables, where the data was collected on the same particiants thus making the samples dependent.
Concretely, I built two compositionally aquivalent models to predict 2 different types of behavior and want to test if the path coefficients differ. Given the data was collected on the same people the models are not independent of each other, thus I wonder how I would adequately test if differences between the path coefficients for model 1 and model 2 are significant?
Thanks a lot!
How to compare models of dependent samples

 SmartPLS Developer
 Posts: 1129
 Joined: Tue Mar 28, 2006 11:09 am
 Real name and title: Dr. JanMichael Becker
Re: How to compare models of dependent samples
There is a nice article on how to conduct difference test between individual parameters in a model in PLS: RodríguezEntrena, M., Schuberth, F., & Gelhard, C. (2016). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality & Quantity, 113.
Dr. JanMichael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

 PLS Junior User
 Posts: 5
 Joined: Sun Jul 10, 2016 10:47 pm
 Real name and title: Macario Rodríguez Entrena, Phd
Re: How to compare models of dependent samples
Dear Mari,Mari wrote:After googling with rather limited success I hope for a hint here:
I want to make an analysis that is analogous to a Multigroup Comparison. The difference is that I distinguish not between groups but want to compare models for 2 different dependent variables, where the data was collected on the same particiants thus making the samples dependent.
Concretely, I built two compositionally aquivalent models to predict 2 different types of behavior and want to test if the path coefficients differ. Given the data was collected on the same people the models are not independent of each other, thus I wonder how I would adequately test if differences between the path coefficients for model 1 and model 2 are significant?
Thanks a lot!
As the Dr. Becker pointed out, the following paper can help to solve your issue: Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. The good news is that a couple of Excel sheets are available upon request to the authors.
Best regards
MAC
Re: How to compare models of dependent samples
Even I have the same issue.
I have to compare two different models on smart pls.
Can I compare on the basis of tvalues?
I have to compare two different models on smart pls.
Can I compare on the basis of tvalues?