About testing of Moderating Effect

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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

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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/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

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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.

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