

   Dear list members:



   I am fitting a model with lmer, because I need to fit some nested
as well as non-nested random effects in it. I am doing a split plot
simplification, dropping terms from the model and comparing the models with or
without the term. When doing and ANOVA between one model and its simplified
version, I get, as a result, a chisquare value with 1 df (df from the bigger
model - df from the simplified one), and a p-value associated.

   I was just wondering if it's correct to present this chisquare and
p values as a result of testing the effect of a certain term in the model. I am
a bit confused, as if I was doing this same analysis with lme, I would be
getting F-values and associated p-values.



   Thank you for your help.



   Iker   


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