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Re: st: ordinal response variables in logistic regression

From   Richard Williams <[email protected]>
To   [email protected]
Subject   Re: st: ordinal response variables in logistic regression
Date   Thu, 13 Apr 2006 14:07:11 -0500

At 12:43 PM 4/13/2006, Jian Liu wrote:
Dear list -members,

Please ignore it if you have read it before.

I'm trying to use logistic regression models to analyze the association
between SES and physical activity levels. My dependent variable is physical
activity level, which are grouped into three levels:  a. regularly (ref), b.
occasionally, and infrequently. My questions are:
1. Can I conduct two separated logistic regression models to examine the
impact of SES on physical activity levels
    a. DV (regularly vs occasionally)
    b. DV (regularly vs infrequently)
or I have to run logistic regression with physical activity levels as
ordinal response variables?
2. if using two separated models is acceptable, is there anything missing in
comparing to using logistic regression with ordinal response variables?

3. what is the stata codes for this type analysis?
You most likely want the Stata routines -ologit- or -oprobit-. Other routines that might be appropriate include mlogit (which makes no ordinality assumption), slogit, oglm, gologit2 or goprobit. To get a better rundown on your alternatives, see the excellent Long and Freese book:

Richard Williams, Notre Dame Dept of Sociology
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