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SV: st: Cross-level interaction with xtmixed
From
Marc Peters <[email protected]>
To
"[email protected]" <[email protected]>
Subject
SV: st: Cross-level interaction with xtmixed
Date
Tue, 10 Jan 2012 12:34:02 +0000 (GMT)
I really don't want to bug you with this question. But if anyone know anything about this I would appreciate your help tremendously.
Please don't hesitate to ask me if you need more information.
Best,
Marc
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Från: Marc Peters <[email protected]>
Till: "[email protected]" <[email protected]>
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Skickat: måndag, 9 januari 2012 10:20
Ämne: st: Cross-level interaction with xtmixed
Dear all,
I am trying to run a multi-level OLS-regression with a cross-level interaction. My main model uses random intercepts (but not random slopes).
I use the xtmixed command in Stata:
xtmixed depvar indepvar1 indepvar2 indepvar3 indepvar|| groupvar:, var
In this model indepvar1 (continuous level-1 variable) becomes highly significant. Indepvar1 is the only level-1 variable in the model. I would like to see whether the effect of indepvar1 decreases if interacted with indepvar2 (a continuous level-2 variable with only four observed values). Since this is a cross-level interaction I need to sepcify a random slope model:
xtmixed depvar indepvar1 indepvar2 indepvar1*indepvar2 indepvar3 indepvar4|| groupvar: indepvar1, cov(un)
In this model both indepvar1 and indepvar1*indepvar2 becomes insignificant. When using the margins command to see the marginal effect of indepvar1 at the different levels of indepvar2, indepvar1 is insignificant at every level of indepvar2. I have a porblem understanding why this is or how to interpret these results.
Rerunning model 1 with random slopes (but with no interactions) indepvar1 also gets insignificant. Is there a problem with how I have specified the models or how should I understand the results? Why is a variable insignificant with random slopes, but significant without them?
Best,
Marc
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