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
About testing of Moderating Effect
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- PLS Junior User
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- Real name and title: Dr. Jan-Michael Becker
Re: About testing of Moderating Effect
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.
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, 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
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
Thank you, Dr. Becker.
That explanation is exactly what I need: when to use moderator vs. MGA.
That explanation is exactly what I need: when to use moderator vs. MGA.