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Hi everyone,

Please I need your help

I have a model includes 2 independent variables (A and B), a dependent variable (C) and a moderator G(gender).
A ---->B ----> C
A -----------> C

If I conduct GMA, does it mean that G moderating the effect of three paths(A--->B, B--->C and A--->C) simultaneously?

If I suppose G only moderating the B-->C and A--->C, I need to conduct two separate analysis B*G-->C and A*G--->C, right?

Then, if I conduct B*G-->C and A*G--->C in a model simultaneously, what are the differences comparing to the above separate two models?

Greetings

jklstw wrote: ↑Sat Mar 17, 2018 12:15 am Hi everyone,

Please I need your help

I have a model includes 2 independent variables (A and B), a dependent variable (C) and a moderator G(gender).
A ---->B ----> C
A -----------> C

If I conduct GMA, does it mean that G moderating the effect of three paths(A--->B, B--->C and A--->C) simultaneously?

Yes

jklstw wrote: ↑Sat Mar 17, 2018 12:15 am If I suppose G only moderating the B-->C and A--->C, I need to conduct two separate analysis B*G-->C and A*G--->C, right?

You can also include both interaction effects in the same model. You do not need to do this separately. See below.

jklstw wrote: ↑Sat Mar 17, 2018 12:15 am Then, if I conduct B*G-->C and A*G--->C in a model simultaneously, what are the differences comparing to the above separate two models?

Greetings

It is a different assumption to test them both separately or together. Usually, if you assume both to be necessary you should test them together. However, multicollinearity could be a problem is such a model.

Dr. Jmbecker, thank you so much!