This forum is closed, and read-only.
Ella
PLS Junior User
Posts: 7 Joined: Wed Aug 04, 2010 9:42 am
Real name and title:
Post
by Ella » Tue Jan 15, 2013 2:46 pm
Hi,
in my PLS model I have a dependent variable (Vdep) with 3 independent variables (Vind).
I calculated following effect sizes (f2)
(Vind1) --> (Vdep) f2=1,077
(Vind2) --> (Vdep) f2=0,158
(Vind3) --> (Vdep) f2=0
I`m wondering about f2=1,077. Is there a limit for f2?
Thx!
Ella
Hengkov
PLS Super-Expert
Posts: 1599 Joined: Sun Apr 24, 2011 10:13 am
Real name and title: Hengky Latan
Location: AMQ, Indonesia
Contact:
Post
by Hengkov » Tue Jan 15, 2013 6:59 pm
Hi,
Effect size cannot more than 1.0. I think you wrong compute, please try again or used WarpPLS very easy for it. If effect size high, it's mean collinearity problem.
Best Regards,
Hengky
Ella
PLS Junior User
Posts: 7 Joined: Wed Aug 04, 2010 9:42 am
Real name and title:
Post
by Ella » Wed Jan 16, 2013 3:59 pm
Thank you!
Ella
PLS Junior User
Posts: 7 Joined: Wed Aug 04, 2010 9:42 am
Real name and title:
Post
by Ella » Thu Jan 17, 2013 1:09 pm
Hi,
I have still the f squared (f 2) problem. Why f squared can`t be greater than 1? In my opinion it`s not includet in the formular:
f 2 = R 2 inc - R 2 exc. / 1 - R 2 inc.
In my case it`s: 0,728 - 0,435 / 1 - 0,728 = 1,077
Hope so you can help me.
Best,
Ella
Hengkov
PLS Super-Expert
Posts: 1599 Joined: Sun Apr 24, 2011 10:13 am
Real name and title: Hengky Latan
Location: AMQ, Indonesia
Contact:
Post
by Hengkov » Fri Jan 18, 2013 12:14 am
Hi,
f2 = R2 have range 0-1. Sum f2 = R2 (if you have one predictor f2 = R2), thus not possible f2 greater than 1.0.
If you not wrong compute, I think you model have collinearity.
But I suggest check it using WarpPLS for clear.
Best Regards,
Hengky