

Does anyone know of any X^2 tests to compare the fit of logistic models 
which factor out the sample size? I'm dealing with a very large sample and 
I fear the significant X^2 test I get when adding a variable to the model 
is simply a result of the sample size (>200,000 cases).

I'd rather use the whole dataset instead of taking (small) random samples 
as it is highly skewed. I've seen things like Phi and Cramer's V for 
crosstabs but I'm not sure whether they have been used before on logistic 
regression, if there are better ones and if there are any packages.


Many thanks

Marco


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