Alternatively, one can try Quadratic Assignment Procedure implemented in
the UCINET or in stata (http://www.hbs.edu/research/stata/qap.ado). I
think, it should take care of the non-independence of dyads.
Andrew V. Shipilov
Strategic Management and Organization Theory
Joseph L. Rotman School of Management
University of Toronto
105 St. George Street
Toronto, ON, Canada
From: Thomas W. Valente [mailto:[log in to unmask]]
Sent: Friday, April 19, 2002 1:07 PM
To: [log in to unmask]
Subject: Re: statistics help
Paul and others,
The advice I've been given by many statisticians is to use GEE (General
Estimating Equations) with no constraints on the correlation matrix
(expectations of the degree of correlation within dyads). The other
has been to use the Sandwhich Estimator (Huber-White), both return
results. In our paper on syringe sharing among needle exchange
had a cohort sample with egocentric network data. The cohort was uneven
respondents varied in the number of followup interviews they had
reshaped the data to be dyadic giving non-independence at 2 levels, the
of interviews and network. (Theoretically we might have been able to
more covariation within respondents compared to within survey times, but
mathematically this has not yet been implemented in any statistical
I know of.) You can also use a general Multi- level model framework
as random effects model) specificing co-variation within respondents.
on the statistical package, someone can provide model examples (I use
Statisticians may provide better and more complete answers. - Tom V.
Paul Chung wrote:
> Hi! As a network novice, I've run into a problem that I imagine most
> socnetters have already successfully handled.
> I performed an analysis of the survey responses of 52 subjects, whom I
> assorted into N*(N-1)/2 = 1326 unique dyads. My response variable was
> dyadic agreement in survey answers (measured on a scale), which I put
> an ordered logit regression.
> The problem, of course, is that these dyads, while unique, are not
> independent, so my standard errors are wrong. Does anyone have an easy
> solution to this problem?
> My e-mail address is below. If you feel that the question is of
> interest, please feel free to post your response.
> Thanks! Any help at all would be appreciated. I look forward to
> Paul Chung
> Email: [log in to unmask]
To learn more about my evaluation book go to:
Thomas W. Valente, PhD
Director, Master of Public Health Program
Department of Preventive Medicine
School of Medicine
University of Southern California
1000 Fremont Ave.
Building A Room 5133
Alhambra CA 91803
phone: (626) 457-6678
fax: (626) 457-6699
email: [log in to unmask]