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Re: st: multiple interaction effects

From   Maarten buis <>
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.:


Hope this helps,

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


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