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the way an ecologist/biologist thinks & a statistican is quite different. we'r (non-statisticians) generally more interested in results rather than the way to the results. furthermore, replication of mistakes/wrong method selections in manuscripts lead to spread of these false methodologies. although, i'm willing to understand what is stated in statistics books and statistics gurus comments... sometimes I really feel that I don't know the language spoken... I found a few e-books (including B. Bolker's Ecological Models &Data in R) but any other examples/how to docs are pretty much appreciated.
Well... I just follow what has been published in the area of ecology. Similar manuscripts report "year" (sampling date; I have 3 years observation on different months) as random effects. And my sampling year/month gives a nested random effect. However, I am not statistician, I follow mainly Zuur et al., 2009 (springer.com/gp/book/9780387874579)
let me translate your reply for dummies (correct me if I am wrong): I should use Reml=False during the process of getting final variables. And when I decide final variables (for example 3 out of 11 variables), this time I will turn to REML=true to get intercept, estimates of variables and q values of the final model (with 3 variables i,e)?
