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
Effect size and predective relevance
-
- SmartPLS Developer
- Posts: 1287
- Joined: Tue Mar 28, 2006 11:09 am
- Real name and title: Dr. Jan-Michael Becker
Re: Effect size and predective relevance
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.
I would say that for f² is makes sense, but not for q².
Dr. Jan-Michael Becker, BI Norwegian Business School, 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
Re: Effect size and predective relevance
Thank you. That was very helpful.