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From |
Stas Kolenikov <skolenik@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: curvilinearity with moderator |

Date |
Wed, 21 Oct 2009 11:19:37 -0500 |

If your question really is about A, then why do you need B in here at all? And why do you need A^2? If C is categorical, then there is not much sense in saying "Introducing C shifts A to the right". You could say that for different levels of C the conditional distributions of A are different, and that can be checked with ANOVA or its non-parametric versions (Kruskal-Wallis). Please clarify what your research questions here is. On Tue, Oct 20, 2009 at 3:56 PM, P K <statistics_2009@yahoo.de> wrote: > Hi, > > I am trying to examine the moderating effects on a curvilinear relation between variable A and B in a multiple regression, > > ie. > > A ->B : positive coeff. > A^2 ->B : negative coefficient > > > I want to examine whether introducing variable C shifts the whole distribution of A to the right. > > Variable A and B are continuous > Variable C is categorical. > > For examing such a moderating role of variable C, I think that only the interaction of AxC has to be significant and positive - is that right? > > Or does the interaction betwen A^2 xC also has to be significant (in that case, this would imply that the distribution of A is not only shifted to the right, but also that the shape of the distribution has changed, correct?) > > Any advice is appreciated. > Thanks, > Pat > > > > > > > * > * 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/ > -- Stas Kolenikov, also found at http://stas.kolenikov.name Small print: I use this email account for mailing lists only. * * 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/

**References**:**st: curvilinearity with moderator***From:*P K <statistics_2009@yahoo.de>

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