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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

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.

Thank you. That was very helpful.