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From | "David Radwin" <dradwin@mprinc.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: Moderation effect by splitting the sample |
Date | Thu, 20 Dec 2012 11:50:45 -0800 (PST) |
Ebru, I can't say for sure without knowing more about what you are trying to do, but regarding splitting continuous variables, see this post and the references therein: http://www.stata.com/statalist/archive/2011-03/msg00154.html If you do split the variable anyway, consider comparing upper and lower terciles or quartiles (and not the upper and lower halves as a previous email intimated) to minimize loss of efficiency: Gelman, A., & Park, D. K. (2009). Splitting a predictor at the upper quarter or third and the lower quarter or third. The American Statistician, 63(1), 1-8. http://www.stat.columbia.edu/~gelman/research/published/thirds5.pdf David -- David Radwin Senior Research Associate MPR Associates, Inc. 2150 Shattuck Ave., Suite 800 Berkeley, CA 94704 Phone: 510-849-4942 Fax: 510-849-0794 www.mprinc.com > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu [mailto:owner- > statalist@hsphsun2.harvard.edu] On Behalf Of Ebru Ozturk > Sent: Thursday, December 20, 2012 11:42 AM > To: statalist@hsphsun2.harvard.edu > Subject: st: Moderation effect by splitting the sample > > > Dear All, > > For non-linear models, I want to test the moderation effect of X variable. > Can I test this moderation effect by spliting the sample according to X > variable (moderator)? > > Kind regards > Ebru * * 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/