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I think that is exactly why we do permutations. ERGMs can also help control for structural effects. I was more questioning the validity of using a centrality measure as a dependent/independent variable in a multiple regression or something.
On Sep 9, 2011, at 9:34 AM, Philip Leifeld <[log in to unmask]> wrote:
> But that's what the random permutations are good for, isn't it? Or is your point that the permutation approach is per se an inadequate tool for this purpose?
> Am 09.09.2011 14:36, schrieb Ian McCulloh:
>> I think the fundamental point is that OLS assumes independence, among
>> other things. Residual analysis is really a tool to validate whether
>> those assumptions hold. We know already that independence is not a
>> valid assumption. The degree to which this may bias findings is
>> unclear (to me at least). I'd appreciate some discussion on this
>> topic by the group. Thanks.
>> Ian McCulloh
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