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Re: st: Comparing two response variables
From
Maarten buis <[email protected]>
To
[email protected]
Subject
Re: st: Comparing two response variables
Date
Tue, 1 Mar 2011 09:45:18 +0000 (GMT)
--- On Mon, 28/2/11, Debs Majumdar wrote:
> Suppose, you have two response variables Y1 and Y2
> on the same metric, one a composite of 8 items and
> the other with 10 items (same 8 items + 2 other). You
> have two predictors (X1 and X2, say) and you run the
> following regressions:
>
> Y1 = a_0 + a_1*X1 + a_2*X2 + e1
>
> Y2 = b_0 + b_1*X1 + b_2*X2 + e2
>
> Is there anyway to prove Y1 is a better measure for the
> trait we are measuring when compared to Y2?
I woudl see this as a MIMIC model (which can be estimated
with -gllamm-, see -findit gllamm-) and the test would be
that the factor loadings for the 2 additional items equal
0.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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