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From |
"Benjamin Villena Roldan" <bvillena@troi.cc.rochester.edu> |

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

Subject |
st: RE: |

Date |
Sat, 7 Feb 2009 12:00:08 -0500 |

Antonio, The correct answer must come from the theoretical considerations of your model. Do you a have a reasonable argument to justify this interaction term? Does it make sense for your theory? Be aware that marginal response of your dependent variable with respect to C depends on the level of your F variable. What does it mean? -----Mensaje original----- De: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] En nombre de Antonio Silva Enviado el: Saturday, February 07, 2009 11:29 AM Para: Stata list Asunto: Hello Statlist: I have an OLS model that looks like this: y = constant + b + c + d + e + f. c is the variable in which I am most interested. In the basic model, c turns out NOT to be significant (it is not even close). However, when I include an interaction term in the model, c*f, c turns out to be highly significant. So the new model looks like this: y = constant + b + c + d + e + f + c*f. The interaction term, c*f, is highly significant as well (though in many versions f is NOT significant). My question is this: Is it defensible JUST to report the results of the fully specified model--that is, the one with the interaction? I kind of feel bad knowing that the first model does not produce the results I desire (I am very happy c ends up significant in the full model--it helps support my hypothesis). I have heard from others that if the variable of interest is NOT significant without the interaction term in the model but IS significant WITH the interaction term, I should either a) report the results of both models; or b) assume the data are screwy and back away... What do you all think? Thanks so much. Antonio Silva _________________________________________________________________ Windows LiveT: Keep your life in sync. http://windowslive.com/howitworks?ocid=TXT_TAGLM_WL_t1_allup_howitworks_0220 09 * * 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/

**References**:**[no subject]***From:*Antonio Silva <asilva100@live.com>

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