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RE: st: k-sample tests for differences in proportions
> 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
> I would really appreciate your opinion now that I have
> fully explained myself!
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