[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Carter Ivan Rees" <CRees1@uwyo.edu> |

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

Subject |
st: RE: RE: RE: A continuous DV between 0 and 1 |

Date |
Fri, 8 Oct 2004 09:06:45 -0600 |

I am very much in agreement with the first response posted by Nick. This is one of the most common ways OLS is abused. Hence the comment about examining what your DV distribution looks like, test all of your assumptions, and verify that your results make sense. I am not so sure that my second recommendation should be overlooked so quickly. Data exploration is a must and I think that what I have suggested would be a good starting point. However, if more powerful analyses are available by all means analyze accordingly. ******************************************* Carter Rees, M.A. Associate Research Scientist Wyoming Survey & Analysis Center 710 Garfield St. Suite 320 Laramie, WY 82072 307-399-0496 ******************************************* -----Original Message----- From: Nick Cox [mailto:n.j.cox@durham.ac.uk] Sent: Friday, October 08, 2004 3:52 AM To: statalist@hsphsun2.harvard.edu Subject: st: RE: RE: A continuous DV between 0 and 1 I disagree here on two standard grounds. * OLS is all too likely to produce predictions outside [0,1]. * To degrade an approximately continuous variable by categorising it in this way is just throwing away information in the data. Other postings pointed to possible analyses. Nick n.j.cox@durham.ac.uk Carter Rees, M.A. > I would think that if it is a ratio variable an OLS > regression would suffice. OLS is pretty robust when it comes > to its assumptions so the S shape may not be a problem. > However, your definition of "somewhat" S shaped has to be > considered. If it is truly an S-shaped (binomial) > distribution you should check to see if you can identify a > logical cut point and turn your DV into a categorical 0/1 > variable and run a logistic regression. If not a simple 0/1, > maybe multinomial or ordinal regression would be the way to > go. In any event, if you do decide on a categorical DV check > out Scott Long's Regression Models for Categorical Dependent > Variables Using Stata. ________________________________________ Eugene Kang > I am using STATA 8 to analyze a model with a ratio DV ranging > from 0 to 1. The distribution of this DV is somewhat > S-shaped. I was wondering if someone could point me to the > correct statistical analysis to use (I can read the STATA > manual and other books from there on). * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

- Prev by Date:
**Re: st:** - Next by Date:
**st: defining new colors or scheming too hard** - Previous by thread:
**Re: st:** - Next by thread:
**st: defining new colors or scheming too hard** - Index(es):

© Copyright 1996–2017 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |