--- Christian Bustamante <[email protected]> wrote:
> I'm doing a research using the ologit command. After the estimation,
> I ran the Brant test and the Approximate likelihood-ratio test to
> verify the parallel regression assumption. The result was that isn't,
> because the chi-squared value of the test was too high (I'm right, am
> I?).
If you are unsure, than go through the logic of testing: formulate the
null-hypothesis. The help-file of -brant- (part of the user written
-Spost- package) states: "-brant- performs a Brant test of the parallel
regression assumption (also called the proportional odds assumption)
after ologit." This means that the null-hypothesis is that the parallel
regression assumption holds. The p-value gives you the probability of
finding a sample which deviates from this assumption as much or more if
the null-hypothesis is true. If it is smaller than 5% (=.05) then we
say that that is so unlikely that we probably haven't drawn a "weird"
sample but that the null hypothesis is wrong.
> So, I found a web page which says that it happened, you should use
> the Generalized Ordered Logistic Model (gologit2 command). My
> questions are:
> 1. Is it the right solution?
> 2. Can I verify the parallel regression assumption? Or it doesn't
> matter at this point?
> 3. Which postestimation commands will be useful?
These questions are answered in detail here:
http://www.nd.edu/~rwilliam/gologit2/
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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