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2013 Nov 25
0
R: lmer specification for random effects: contradictory reults
...sq(LR,2,ncp = 0, lower.tai=FALSE,log.p = FALSE)
However, what can I conclude on the random slopeif it is significant?
With the previouse approach using the model:
mod2 <- lmer(dT_purs ~ T + Z + (1 +T| subject) + (1+ Z| subject), data =x)
The comparison among the models in which the different termd were
included/excluded provided me the following results:
p_valueT = 1.269e-07;
p_valueZ =0.00322
p_valueTS = 0.4277
p_valueZS = 0.005701
I interpreted the ones relative to the random effects as if the subjects
differed not only in their overall responses, but also in the nature of
their res...
2013 Nov 25
4
lmer specification for random effects: contradictory reults
Hi All,
I was wondering if someone could help me to solve this issue with lmer.
In order to understand the best mixed effects model to fit my data, I
compared the following options according to the procedures specified in many
papers (i.e. Baayen
<http://www.google.it/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CDsQFjAA