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From |
"\"Jingky P. Lozano\"" <jlozano@apoy.upm.edu.ph> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Wed, 05 Nov 2003 22:37:35 +0800 (PHT) |

I was thinking that you can probably use Kruskall-Wallis which is the nonpar equivalent of ANOVA but since you only have two possible answer (with Univ and without univ degree) per religion, I agree that you can just simply use chi- square. There will really be not much use in comparing the means. A 0.5 mean in education variable cannot be interpreted as incomplete Univ degree since your coding system is categorical. I think it is more appropriate to use chi- square. Quoting Richard Williams <Richard.A.Williams.5@nd.edu>: > At 09:18 AM 11/5/2003 +0000, klrobson@essex.ac.uk wrote: > >Is there an established equivalent command to "prtest" for > categorical > >variables with more than two categories? > > > >If not, just 'how wrong' is it to use an anova estimation for this > purpose? > > > >Thanks for any guidance. > > I just tried the csgof command suggested by Ronan Conroy for a single > variable, and it works as I would expect it to. In SPSS, you would use > the > NPAR test command for this purpose. > > But, are you talking about comparing proportions between 2 variables, > e.g. > Var1 and Var2, each has 5 categories, and you want to test whether the > > proportion in each category is the same for each variable? If so, I > don't > understand why you would consider Anova, since you'd be computing means > of > a categorical variable. If csgof doesn't give you what you want, > perhaps > you could give a specific example of what it is you want to test. > > Incidentally, I have "cheated" and used Anova to test p1=p2, where p1 is > > the proportion of successes in the first group and p2 is the proportion > of > successes in the 2nd group. That is, both my IV and DV were > dichotomies. At least in the large samples I tried it on, I got almost > > exactly the same results you get by doing it the "right" way. But, once > > you get past 2 categories on your categorical dependent variable, Anova > > doesn't make any sense to me. > > > ------------------------------------------- > Richard Williams, Associate Professor > OFFICE: (574)631-6668, (574)631-6463 > FAX: (574)288-4373 > HOME: (574)289-5227 > EMAIL: Richard.A.Williams.5@ND.Edu > WWW (personal): http://www.nd.edu/~rwilliam > WWW (department): http://www.nd.edu/~soc > > * > * 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/ > * * 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:*"Nick Cox" <n.j.cox@durham.ac.uk>

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

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