[R-sig-ME] fixed effect testing again (but different)

[Doran, Harold]

> Up until now my procedure is to evaluate two models, viz.
> 
> m0 <- lmer(response~(1|subject),data)
> m1 <- lmer(response~gender+(1|subject),data)
> 
> The likelihood-ratio test approach directly compares these two.

Since these models differ in their fixed effects, you need REML=FALSE
for the LRT to be meaningful.