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From |
Joseph Coveney <jcoveney@bigplanet.com> |

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

Subject |
Re: st: k-sample tests for differences in proportions |

Date |
Wed, 05 Nov 2003 22:37:25 +0900 |

Karen Robson wrote: ------------------------------------------------------------------------------- Thanks for your replies. What I am trying to calculate is if the mean of a dummy variable is different across the categories of a separate categorical variable. So if the mean of a dummy variable (e.g. let's say 1=has university degree, 0=does not have university degree) is significantly different across a nominal variable like religious affiliation which has five possible values. If I had just two categories in the religious affiliation variable, I could just prtest university, by(religion). Since I have multiple categories, however, this becomes impossible. If my DV was continuous, I could do an anova and with post-hoc estimations figure out where the significant differences between categories were. However, because my DV is not continuous, I have been told an anova here is not appropriate, hence my confusion. Perhaps I am just being pedantic? I would really appreciate your opinion now that I have fully explained myself! -------------------------------------------------------------------------------- How about -glm-? See the do-file below for how. The example is artificial, but it shows how to use -glm- followed by -test- to do exactly what you want. If you want to adjust for multiple comparisons, Stata can do that, too. -help test- Also, just as an aside, consider performing logistic regression (examining odds ratios, using link(logit)) in lieu of testing differences in proportions. Joseph Coveney -------------------------------------------------------------------------------- clear set obs 300 set seed 20031105 generate byte degreed = uniform() > 0.25 * degreed = 1 for has college degree and 0 for doesn't generate byte religion = mod(_n, 5) + 1 * religion = 1 for first religion, 2 for second, and so on * * Here we go: * xi: glm degree i.religion, family(binomial) link(identity) nolog test _Ireligion_2 = _Ireligion_3 test _Ireligion_2 = _Ireligion_4 * . . . and so on exit -------------------------------------------------------------------------------- * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: k-sample tests for differences in proportions***From:*Richard Williams <Richard.A.Williams.5@nd.edu>

**Re: st: k-sample tests for differences in proportions***From:*Richard Williams <Richard.A.Williams.5@nd.edu>

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