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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Constant term in Logit regression |
| Date | Mon, 22 Apr 2013 12:07:09 +0200 |
On Sun, Apr 21, 2013 at 1:15 PM, Athinagoras Konstantinidis wrote: > However, the constant term has a p-value of about 0.600. The p-value of the constant term in logistic regression belongs to a test with a rather peculiar null hypothesis, see the final comment of (Buis 2012). So before you are going to draw conclusions based on that p-value you first need to understand that null-hypothesis and decide wether or not you care about that. In all likelihood you don't care about that null-hypothesis and the p-value is thus meaningless. On Sun, Apr 21, 2013 at 10:05 PM, JVerkuilen wrote: > You hardly ever interpret the constant unless it's been scaled to be > interpretable. This is true but the consequence is that you should scale your variable such that the constant is interpretable and _not_ that you should never interpret the constant. Especially in a logit model, correctly interpreting the constant can be extremely helpful, see e.g. (Buis 2012) Hope this helps, Maarten M.L. Buis (2012) "Stata tip 107: The baseline is now reported", The Stata Journal, 12(1), pp. 165-166. --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/