[statnet_help] question about standardized coefficients in MR-QAP

[Carter T. Butts]

Hi, Longxia Huo -

OLS network regression coefficients (as obtained e.g., from netlm) can 
be interpreted in the same fashion as any other linear regression 
coefficients - they are, in fact, exactly equivalent to vectorizing the 
dependent network and regressing it on the vectorized versions of the 
independent networks.  So, in that regard, effect sizes and such have 
their usual linear meanings (provided that one interprets them in terms 
of edge variables, and sticks to descriptive statements - some 
inferential ones can also be justified, but beware of anything that 
requires an independence assumption).  By turns, the QAP null hypothesis 
tests are just that (tests), and you would not want to use QAP quantiles 
as a proxy for effect sizes, or otherwise compare them across models. 
(At least, not without some guiding theory, and I'm not aware of 
anything apposite.)

Hope that helps!

-Carter

On 6/22/22 12:28 AM, 霍龙霞 wrote:

>

> Hi all,

>

> I have a question relating to MR-QAP coefficient. I have two different 

> undirected collaborative networks: N1(35*35) and N2(41*41). And I want 

> to run MR-QAP to (1) examine factors predicting collaboration 

> (homophily, sender effect, and transitivity; the model specification 

> are same); (2) explore the relative contribution of above effects 

> within network; (3) and compare the strength of certain effect across 

> QAPs (e.g. is the homophily effect in N1 stronger than N2). For the 

> goal(3), Could I compare the standardized coefficient of N1 model and 

> N2 model?

>

> Thank you!

>

> Best,

>

> Longxia Huo

>

> Ph.D. Student

>

>

>

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