I want to calculate effect size f² for c, and my structural model is like:
a-->c-->d
b-->c-->d
b-->d
a-->d
if I calculate f² for c, i.e. I have to get the value of R² when c is included and excluded respectively, should I delete the whole LV c out of the model, or just delete the path from c-->d? Because if I delete the c out of the model, the other paths like a-->c and b-->c would be lost.
Do you have some ideas how to deal with this problem? Or is there some relevant literature I can make reference to. Thank you very much!
Hi,
A and B in same model? I think you have two model..;-)
For effect size C is same R-square D, OK. You not need for compute effect size with formula (R-square excluded and R-square include), because you have one predictor C => D. So, effect size C = R-square D.
Best Regards,
Hengky
Hi,
Thank you for the reply. But I think you got me wrong. There are 3 predictors for D, namely A, B, C. The question is how to calculate effect size for C?
[/img][/code]
Hi,
I think A and B not effect to D. Hahahahaha..... :-)
So, variable C is mediation, right?
You must compute effect size C with formula. I.m suggest you test compute using WarpPLS (automatic).
Best Regards,
Hengky
Hi
In SmartPLS, effect size must compute by hand with formula (R-square Exclude and R-square Include).
In WarpPLS, this program compute automatic effect size.
For variable C, I think you compute effect size same for variable A and B, OK.
Regards,
Hengky