http://spssx-discussion.165.s1.nabble.com/Ordinal-regression-Test-of-parallel-lines-tp5739103p5739105.html
maximum likelihood estimation). In this case, significance tests are
not precise. There is no remedy for this. David Greenberg, Sociology
>
> It almost surely means that the output has some other warning
> which says something more. Maybe, "The model fails to converge"
> or something like that. Is it that, or something else?
>
> Increasing the number of iterations is an obvious thing to try, though
> that won't work if the solution steps are either drifting or cycling.
> - It's conceivable to me that by might get a convergence if you
> /dropped/ some specific case, if that broke some numerical tie.
>
> I suspect that your N is relatively small compared to the number
> of variables in the model, because that's when problems are more
> likely. In addition to mentioning your N and number of variables,
> you could say whether there /looks like/ there is some (big) effect.
>
> --
> Rich Ulrich
>
>
> ________________________________
> From: SPSSX(r) Discussion <
[hidden email]> on behalf of NJ1979 <
[hidden email]>
> Sent: Monday, May 4, 2020 11:05 AM
> To:
[hidden email] <
[hidden email]>
> Subject: Ordinal regression Test of parallel lines
>
> Hi,
> When I ran a ordinal regression by PLUM functionality in SPSS , for the test
> of parallel lines, I received this messages
> "The Chi-Square statistic is computed based on the log-likelihood value of
> the last iteration of the general model. Validity of the test is uncertain."
> What does it mean and how to fix this ?
>
> Thank you,
> NJ
>
>
>
>
> --
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