I am always struggling with normality testing for quantitative predictors (no factors) and transforming them to normality.
- If I am running a GLMM and my predictors are really non-normal, should I transform them as well to try to make them normally distributed?
- I know that this is important for the response variable but what should be done with predictors?
P.S.: I really could not find a similar question.