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Re: st: Missingness
From
Richard Williams <[email protected]>
To
[email protected], "[email protected]" <[email protected]>
Subject
Re: st: Missingness
Date
Tue, 28 Aug 2012 09:20:19 -0500
At 02:42 AM 8/28/2012, Brendan Churchill wrote:
Dear Statalist Users
I am using some ordinal variables, which have some numeric missing
values, in a multilevel model. In some previous research, I have
seen researchers include a 'Missing' independent variable in their
model to account for some of the 'missingness' - or rather to
control for the missing values, but I don't quite understand how to
do it in Stata or even if that's a good way to do it. I've tried to
make a binary variable in which the missing values are coded 1 and
the rest of the values are coded 0 but the model rejects this
because it's collinear.
Is this how you do it? Or is there a variable for the entire data
set that is created to account for all missing variables?
In his green Sage book, "Missing Data", Paul Allison explains why
this is usually (albeit not always) a bad idea. I briefly summarize
the argument on pp. 4-5 of
http://www.nd.edu/~rwilliam/xsoc63993/l12.pdf
-------------------------------------------
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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