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RE: st: subpop question
At 12:30 PM 1/25/2009, Carissa Moffat Miller wrote:
1. Below is my output, note _IAgeCat7_7 dropped due to collinearity.
This is the category for anyone under 55 so it shouldn't have been in
the model, but does this message indicate another problem?
2. I
have also run the model with 6 category age just coding age less than
55 as missing but this seems akin to misusing if commands instead
of the subpop with svy.
Given your sample selection, I would expect _IAgeCat7_7 to be dropped
(all selected sample members have a value of 0 on it), so I don't see
any problems.
Can someone tell me how to include age
in the model but also focus on the subpopulation of interest accounting
for the survey design? Thank you, Carissa
I'm not sure I understand the question. Are you saying that you
would like to analyze all age groups while paying particular
attention to those over 55? If so, it would seem like interaction
effects can be used. But perhaps I misunderstand you. Also, do you
really need to break 55+ up into a bunch of age categories? Could
you just use a dummy coded 1 if 55+, 0 otherwise?
As a sidelight, I hate the way output looks when you use xi. If you
want something that is quick and dirty it is fine, but if I want
output that is nice and easy to read I like to create the dummies
myself with names that are easy to understand.
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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