
Hi,
I've been using GAMMs and GLMMs to investigate genetic ancestry in relation to environmental heterogeneity.  My data come from individuals (n = 85) that live in social groups (n = 44) across my study area.  Thus, I have included social group as a random effect and investigated the influence of several environmental fixed effects.
My question: Given that the random effect of social group should account for non-independence between individuals within groups, it seems like I should only be concerned with correlations between independent variables across social groups (rather than across individuals).  Is it the convention with mixed models such as mine to report a correlation matrix between groups, or do folks generally report a correlation matrix between individuals as one would normally do with a GLM or GAM?  I suppose I could report both, but it seems like the correlations between individuals wouldn't be relevant given the inclusion of the random effect.
Any insight on this would be appreciated.  Thanks!
John 		 	   		  
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