Poor effect size, predictive relevance with good R square

Questions about the implementation and application of the PLS-SEM method, that are not related to the usage of the SmartPLS software.
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nchowdhury
PLS Junior User
Posts: 2
Joined: Thu Jan 16, 2020 2:10 pm
Real name and title: Ms.Nazreen

Poor effect size, predictive relevance with good R square

Post by nchowdhury »

My data have fulfilled all the standard cut off points for construct validity, discriminant validity, HTMT, R square values But it is having poor effect size & predictive relevance. Anyone can suggest me what can be reasons, how to solve these issues and any reference for these type of issues. It will be a great kind of you.
jmbecker
SmartPLS Developer
Posts: 1282
Joined: Tue Mar 28, 2006 11:09 am
Real name and title: Dr. Jan-Michael Becker

Re: Poor effect size, predictive relevance with good R square

Post by jmbecker »

Maybe there is simply no relationship between your variables in your context? Or you have the wrong predictors?
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
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