Dear mailing list,

 

 

I have a model where I use leaf characteristics as response variables,
and populations and trees (nested in populations) as random effects.
After quantifying the variation associated with the different grouping
levels (error/within trees/within populations), I've added fixed
effects. I have information on population level (annual precipitation,
soil characteristics ...). By adding explanatory variables on population
level, can I still include 'population' as a random effect (without
breaking any statistical rule)? My idea was that, by including a fixed
effect, the fixed effect partially explains the variation added by a
grouping variable, but now I'm hesitating a bit... Does anybody have
some references on this topic?

 

 

Thanks in advance,

Sebastiaan   

 

 

 

 

 

 

Sebastiaan De Smedt

Research assistant

UA - Department of Bioscience Engineering

 

Groenenborgerlaan 171 - V6.16

B-2020 Antwerpen, Belgium

+32 (0)3 265 35 69

 


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