It's the other way round.
If you can explain to an audience why ignoring pweights makes no
difference to a measure, then the same measure will do equally well in
situations with and without pweights.
But if predictions change when you take account of pweights, you can't
expect pseudo-R2 to remain unchanged.
Better to summarize lack of fit in the same way for both models, e.g.
by looking at residuals or predictions directly.
P.S. this is an international list. It's only the same time of day for
us if we have the same longitude as you.
On Thu, Feb 28, 2013 at 7:16 PM, Ben Dandi <ben_dandi@hotmail.com> wrote:
> Good evening,
> Can I use the pseudo R2 that I get from oprobit [pw=xyz] to be the pseudo R2 of svy linearized : oprobit (when sample weights are set to xyz)?
>
> Thank you very much and have a nice evening,
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