Hi Folks,
I have repeated measurements for each subject. The DV(response variable) is
"Value", a square root transformation of which makes it normally
distributed. The IV(predictor variable) is "Delay", which is not normally
distributed. Then I ran a model:
lmer(sqrt(Value)~Delay+(Delay|Subject))

Does this model require a normally-distributed Delay?

I feel that lmer is a linear model, so it requires normal distribution of
both IV and DV. Am I right?

Thanks for your reply!

	[[alternative HTML version deleted]]


