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From |
Philip Ender <ender97@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: Re: st: binary mediation command |

Date |
Tue, 5 Jul 2011 08:11:04 -0700 |

Dear Pina, You didn't include the bootstrap results for the direct and indirect effects so I can only give general advice. Check the bootstrap confidence intervals for your direct and indirect effects. In particular, look at your indirect effects because it seems rather small. If the confidence interval does not include zero then you can report the proportion of total effect mediated. If, on the other hand, the confidence interval includes zero then the proportion mediated is essentially meaningless since the indirect effect is not reliably different from zero. I hope this response helps. Pina Valle wrote: >Even when using percentile confidence intervals, is this output relevant since I am trying to determine the >proportion mediated by the indirect effect? >Indirect effects with binary response variable evercoh > indir_1 = .00601173 (adrel, binary) >total indirect = .00601173 >direct effect = .10223182 >total effect = .10824356 > c_path = .10680445 >proportion of total effect mediated = .05553895 >ratio of indirect to direct effect = .05880491 >Binary models use logit regression >Thanks >Pina -- Phil Ender UCLA Statistical Consulting Group * * 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/

**Follow-Ups**:**Re: Re: st: binary mediation command***From:*Pina Valle <gv08d@fsu.edu>

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