I am evaluating a mediation model with an independent variable, two mediating latent variables, and a dependent variable. I have three control variables (age, SES, and ethnicity)for which I want to account in the model based on significant bivariate correlations with indicator variables. Where is it best to include them of the following options?
1. Regress the indicator variables with which these are correlated directly on the control variables? 2. Regress the latent variable with which at least one indicator variable is correlated with a control variable on that control variable? 3. Some other method?
Is it correct to have these control variables in multiple places in the model (i.e., regressed on both latent variables if appropriate)? Thank you!