Hi,
For my master thesis I am exploring the effects of different types stereotype activation (i.e., stereotype reactance, stereotype threat and no stereotype activation) on negotiation performance. Based on the literature, I believe that the communication style (i.e., flirtatious and non-fliratious) of the confederate might moderate the effect of stereotype activation on negotiation.
What I have done so far is dummy coded both the predictor variable (no stereotype activation = 0) and the moderator variable (non-flliratious communication = 0). Additionally, I computed two new interaction term variables with dummy variable stereotype reactance * dummy variable flirtatious and dummy variable stereotyp threat * dummy variable flirtatious. But I am not sture what I have to do next. I've tried the regular Linear Regression test in SPSS, I placed both dummy variables of stereotype activation and the dummy variable of communication style in the first model. Then added the interaction term variables in the second model.
I've also tried the Hayes' process moderation test. I conducted two seperate test because it doesn't allow you to insert multiple IV's. But not sure if this is the right way to go.
Could anybody explain to me how to conduct a moderation analysis with both the predictor and moderator as categorical variables? Or am I on the right path? If so, what do I do next?
Thank you very much!
Nikki
Mostly only the moderating variables can be categories (age, sex, etc). This allows for indicator 1 (group 1) and indicator 2 (group 2) and the other variables should preferably be continuous.
The same way you do with any interaction (moderation). that is,add a term a*b
Where I believe the a's and b's you have described in your question. Now simply run your regression and see if the coeffs of the two a*b type terms are significantly different from 0. This is a factorial type of model. The simplest description I know of is attached. You might also see this link for all the details:
https://www.google.com/search?q=Montogomery+Design+and+Analysis+of+Experiments&rlz=1C1CHBF_enUS874US874&oq=Montogomery+Design+and+Analysis+of+Experiments&aqs=chrome..69i57.32734j0j9&sourceid=chrome&ie=UTF-8
Here you may download a pdf copy. Best, D. Booth
NB: remember interaction and moderation are the same thing
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