About testing of Moderating Effect

PLS is broadly applied in modern business research. This forum is the right place for discussions on the use of PLS in the fields of Marketing, Strategic Management, Information Technology etc.
Post Reply
thomasmakz@gmail.com
PLS Junior User
Posts: 4
Joined: Wed Dec 02, 2015 12:23 pm
Real name and title: Thomas Mak

About testing of Moderating Effect

Post by thomasmakz@gmail.com » Thu Dec 03, 2015 1:34 pm

Dear, if there is a significant relationship between A and B (A-->B), and i would like to know what is the right way to test the moderating effect (for example: gender). What test should i use?
some people use (Gender * A --> B) to test moderating effect (SmartPLS 3) and some use MGA to run a t-test between A-->B (male) and A-->B (Female)?
Please help.
Thank you

jmbecker
SmartPLS Developer
Posts: 865
Joined: Tue Mar 28, 2006 11:09 am
Real name and title: Dr. Jan-Michael Becker

Re: About testing of Moderating Effect

Post by jmbecker » Thu Dec 03, 2015 4:18 pm

Generally, both approaches should lead to more or less the same conclusion.
I would use the interaction approach if I have only one path that is affected by gender and the multi-group approach if I assume that several paths in my model are affected by gender.
Dr. Jan-Michael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Ja ... v=hdr_xprf
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

smardiana
PLS Junior User
Posts: 1
Joined: Wed Oct 24, 2018 1:58 am
Real name and title: Siti Mardiana

Re: About testing of Moderating Effect

Post by smardiana » Wed Oct 24, 2018 2:05 am

Thank you, Dr. Becker.
That explanation is exactly what I need: when to use moderator vs. MGA.

Post Reply