Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: st: Modeling % data
From
Marlis Gonzalez Fernandez <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Modeling % data
Date
Wed, 22 Sep 2010 15:43:11 -0400
Thanks for the information Maarten. I think that using glm as you described is the best way given my data. Now, I am not familiar with this stata command... will I interpret the coefficiants the same was as a regular linear regression?
Thanks!
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Maarten buis
Sent: Wednesday, September 22, 2010 11:52 AM
To: [email protected]
Subject: RE: st: Modeling % data
--- On Sep 22, 2010, at 8:03 AM, Marlis Gonzalez Fernandez wrote:
> My outcome variable is a % (% error in a language test). We do have
> many 0 and 100. I need to be able to do a multiple regression to
> adjust for known predictors of the variable vs. the predictors of
> interest.
>
> It was suggested that I use qreg. I've done so and it seems to
> work.
This all depends on how close your dependent variable gets to the boundaries of 0% and 100%. If the data stays well within the range of
20%-80% than I would have no problem using either -qreg- or just regular
-reg-. However, when you have observations that get close to these
boundaries, you'll probably want to take them into account. For that
there is a whole suite of commands available, which I discussed at the
last German Stata Users' Group meeting:
<http://ideas.repec.org/p/boc/dsug10/04.html>
(You'd have to look at your variable as an proportion rather than a
percentage. But that is trivial, just divide by 100.)
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/