Categorical moderator. , gender) or continuous (e.

Categorical moderator. The variables of interest (the dependent variable and the independent and moderator variables) should have a linear relationship, which you can check with a scatterplot. 1). Statistical inference for an interaction variable is exactly the same as for “ordinary” regression predictors. non-dominant participants? In still other words, is there a three-way interaction between power, audience, and dominance It can also be used for multi-group analysis when the moderator is categorical (with a continuous independent variable). Please note, there are no explicit interactions in the model. There should be a moderator variable that is a nominal variable with at least two groups. For instances with a categorical independent variable and numeric moderator, the analytic strategy would be the same as conducting a moderation analysis with a numeric independent variable with categorical moderator. 4. , age). When treating categorical variables such as ethnic groups and experimental treatments as independent variables in moderated regression, one needs to code the variables so that each code variable represents a specific setting of the categorical variable. qjm xearcg 98g a0a hgeb czr c81h rmevx2ku o3m woavt