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Re: st: Subgroup analysis
From
David Bai <[email protected]>
To
[email protected]
Subject
Re: st: Subgroup analysis
Date
Wed, 07 Jul 2010 15:35:12 -0400
Thank you, Dave. The African American group has 600 cases, and there
are 28 predictors in the model. The same 28 predictors are used for all
subgroup analysis.
David B
-----Original Message-----
From: David Bell <[email protected]>
To: [email protected]
Sent: Wed, Jul 7, 2010 3:18 pm
Subject: Re: st: Subgroup analysis
So how large is your African American subsample? Maybe your power is
much lower
in that subsample. Or maybe your model is well specified for Whites
but not for
African Americans.
Dave
====================================
David C. Bell
Professor of Sociology
Indiana University Purdue University Indianapolis (IUPUI)
(317) 278-1336
====================================
On Jul 7, 2010, at 2:35 PM, David Bai wrote:
Hi, all,
I would like to compare predictors' effects across different
racial/ethnic
groups, so I first ran a comprehensive model including all groups, and
then used
subpop function in stata to do subpopulation analyses for each ethnic
group.
What the results show is that many (not just a few) significant
predictors
in the comprehensive model (including all racial groups) become
non-significant
in the African American group, while the White group's results are
similar to
the results of the comprehensive model. How can I interpret all these?
Is it
possibly because African Americans are very homogeneous in the
distributions of
these predictors, and therefore it is hard for the analysis to
distinguish any
variations in the effects and therefore find non-significance in the
results? Or
is it because the sample size of this group is relatively small
compared with
other groups (e.g., whites) in the sample? Are there any other
possible
interpretations? Your insight will be appreciated.
David B
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