Effect size and predective relevance

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BochAbdel
PLS Junior User
Posts: 4
Joined: Sat Sep 15, 2018 9:21 pm
Real name and title: Boch Abdel

Effect size and predective relevance

Post by BochAbdel » Sat Sep 15, 2018 9:57 pm

Dear all,

I have a question regarding effect size and predective relevance.

I have a model with 3 endogenous variables. Two of them have multiple predecessors and one has only one predecessor.

I managed to calculate the f2, Q2 and q2 for the two variables with multiple predecessors using the formulas:
f2=(R2 included-R2 excluded)/(1-R2 included)
Q2=1-(∑DSSED)/(∑DSSOD)
q2= (Q2 included-Q2 excluded)(1-Q2 included)

But I cannot calculate these indexes for the endogenous variable with one predecessor, since I cannot find any values of the R2 excluded and Q2 exluded in the generated report. There is only a blank space.

Is there any way I can calculate them or is it unnecessary to do it when there is only one predecessor?

Thank you very much for your help.

Boch

jmbecker
SmartPLS Developer
Posts: 842
Joined: Tue Mar 28, 2006 11:09 am
Real name and title: Dr. Jan-Michael Becker

Re: Effect size and predective relevance

Post by jmbecker » Sun Sep 16, 2018 3:48 pm

If you have only one predictor and you exclude the predictor you explain/predict nothing. It is a bit of a debate whether it makes sense to calculate the indices for such a variable with R² excluded etc. being 0 or whether they are not defined.

I would say that for f² is makes sense, but not for q².
Dr. Jan-Michael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Ja ... v=hdr_xprf
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

BochAbdel
PLS Junior User
Posts: 4
Joined: Sat Sep 15, 2018 9:21 pm
Real name and title: Boch Abdel

Re: Effect size and predective relevance

Post by BochAbdel » Sun Sep 16, 2018 9:52 pm

Thank you. That was very helpful.

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