Dear Statalisters,
I have one basic question. It is my understanding that people alternatively
use logistic and/or probit regression analyses for a categorical dependent
variable, although the two methods are based different distributional
assumptions. The rationale, as far as I can tell, is that they rarely make a
substantive difference in practice.
But, what if they result in different regression outcomes? Is there any
formal test for determining which is more appropriate than the other? If
there is, how do you do it in Stata? Or, ff there is no such a formal test,
what is the convention for choosing (if you choose) what to report?
If by "different regression outcomes" you mean different substantive
conclusions - that is very unusual, and it might make you wonder about your
data and models as much as it does about which method is better.
