Hi Livia,

I would definitely run the analysis including both covariates in the model. But be sure to check whether there is not multicollinearity between anxiety and depression scores (correlations of .75 or above as a rough index). These two tend to be highly correlated.

Hi Cory

Thank you so much for your help. Do you know how I could check if there is multicollinearity between depression and anxiety score?

Cory Cobb

A simple way is to jist run a correlation beuween the two and make sure correlation is less than .8

Thank you Cory. I did also a collineatiry diagnosis to see the variance inflation factor and the VIF was 3. Do you think I could consider this a high indicator?

That suggests no issue of multicollinearity

thank you for your help Cory