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Re: st: k-sample tests for differences in proportions
At 09:18 AM 11/5/2003 +0000, email@example.com wrote:
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.
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.
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
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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