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From |
Marlis Gonzalez Fernandez <mgonzal5@jhmi.edu> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

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: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Maarten buis Sent: Wednesday, September 22, 2010 11:52 AM To: statalist@hsphsun2.harvard.edu 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/

**Follow-Ups**:**RE: st: Modeling % data***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**References**:**RE: st: Modeling % data***From:*Marlis Gonzalez Fernandez <mgonzal5@jhmi.edu>

**RE: st: Modeling % data***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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