- Thread starter noetsi
- Start date

When you suspect a predictor has a fixed effect, and possibly a random one as well, do you have to first test the fixed effect with a LR then the random effect?

Do you have to test if there is a random intercept before you test if a slope is random? And if the intercept is not random, does it make sense to test for random slopes?

This is what I am talking about....

"...as an example if the overall mean is .45 [this is one specific slope, this works for an intercept as well] and the standard deviation is .18 than 67 percent of the group means [the slope coefficients] are between .45-.18 and .45 + .18 and 95 percent lie between .45 –(2*.18) and .45 + (2*.18)."