f2 and q2

Frequently asked questions about PLS path modeling.
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zd18
PLS Junior User
Posts: 3
Joined: Thu Jul 26, 2018 1:24 pm
Real name and title: zul PLS beginner

f2 and q2

Post by zd18 » Sat Aug 31, 2019 3:10 pm

Hello everyone,

I ran the PLS SEM for effect size f2 and q2 and found it a little odd. Is it possible to have an inverse outcome between the explanatory power (f2) and predictive power (q2). For e.g:

Factor A f2 = 0.36, q2 = 0.12
Factor B f2 = 0.25, q2 = 0.15
Factor C f2 = 0.08, q2 = 0.21
Factor D f2 = 0.03, q2 = 0.26

How is it possible to get a low explanatory power, but high predictive power and vice versa? If it is not possible, where did I went wrong with the analysis? Feedbacks are greatly appreciated. Thanks.

jmbecker
SmartPLS Developer
Posts: 1032
Joined: Tue Mar 28, 2006 11:09 am
Real name and title: Dr. Jan-Michael Becker

Re: f2 and q2

Post by jmbecker » Sun Sep 01, 2019 9:09 am

First, I would try to replicate the finding with PLSPredict. It has a much better foundation than the Blindfolding which is a method developed in the 1980s.
Second, it is generally possible if the factors with high explanatory power lead to overfitting. However, such consistency of inverse results would also be suspicious to me.
Dr. Jan-Michael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

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