LISTSERV mailing list manager LISTSERV 15.5

Help for SOCNET Archives

SOCNET Archives

SOCNET Archives


Next Message | Previous Message
Next in Topic | Previous in Topic
Next by Same Author | Previous by Same Author
Chronologically | Most Recent First
Proportional Font | Monospaced Font


Join or Leave SOCNET
Reply | Post New Message
Search Archives

Subject: Re: Using node level regression analysis in Ucinet
From: Ian McCulloh <[log in to unmask]>
Reply-To:Ian McCulloh <[log in to unmask]>
Date:Fri, 9 Sep 2011 12:36:39 -0400

text/plain (30 lines)

*****  To join INSNA, visit  *****

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.  

Ian McCulloh

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?
> Philip
> 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

SOCNET is a service of INSNA, the professional association for social
network researchers ( To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.

Back to: Top of Message | Previous Page | Main SOCNET Page



CataList Email List Search Powered by the LISTSERV Email List Manager