Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down at the end of May, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: multiple interaction effects


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: multiple interaction effects
Date   Sat, 21 Aug 2010 07:22:23 +0000 (GMT)

--- On Fri, 20/8/10, Fabio Zona wrote:
> In my study I have three independent variables x1 x2 x3,
> and I have three hypotheses regarding the interactions of
> these variables with another fourth var z1.
> 
> Question: do I have to test the interaction effects
> separately (i.e., one single model for each interaction,
> that is, one regression for x1z1, a different regression for
> x2z1...)?
> Or do I need to test these three interactions effects in
> one single regression (i.e., in one single regression I
> include: x1z1 x2z1 x3z1)? What is the difference in terms of
> interpretation?
> Note: the three variables x1 x2 x3  refer to
> constructs realted to the same phenomenon

If x1 x2 and x3 are the cause of that phenomenon, than it
makes sense to use a model with parametrically weighted
covariates or a MIMIC model, see e.g.:

<http://www.maartenbuis.nl/wp/prop.html>

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index