In article <ye1C4.14$[EMAIL PROTECTED]>,
[EMAIL PROTECTED] says...
> I have been trying to explain to some co-workers that a sample
> can be too big.
> That is not very easy because it is contratictory to what
> intuition says.
>
> Can someone point me to some good arguments or literature?
> Or correct me if my assumption is wrong?
>
If the sample is too large, effects could be significant although trivial
in magnitude. As for references, see
Raftery, A.E. (1986) "Choosing modles for cross-classifications: comment
on Grusky and Hauser". American Sociological Review 51: 145-146.
Raftery, A.E. (1995) "Bayesian model selection in social research".
Sociological Methodology 25: 111-163.
Raftery's BIC is often used in loglinear models of occupational mobility,
where large sample sizes often lead to overly complex models.
Hope this helps,
John Hendrickx
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