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:
