Re: Binary Logistic Regression for Rare Events

Posted by Bruce Weaver on Mar 16, 2021; 6:07pm
URL: http://spssx-discussion.165.s1.nabble.com/Binary-Logistic-Regression-for-Rare-Events-tp5740296p5740309.html

Alejandro, if your license includes CATREG, you will find it in the GUI under
Analyze > Regression > Optimal Scaling (CATREG).  (The GUI is useful for
generating a first draft of the command syntax, as Art is wont to say!)  




Alejandro González Heras wrote

> I just opened my eyes twice, if you get my meaning. Thank you very much
> Art
>
> Apologies for being redundant: when you say CATREG, you refer to the
> following R package, right?
>  
> https://CRAN.R-project.org/package=CatReg
>
> It is true though that categorizing the variable is also interesting, so
> we can compare those who consider themselves somehow 'immune' (to fake
> news) versus those who doesn't. I guess it will then depend on the
> interpretation of the different models, I will run them and compare them.
> Again, much appreciated Art.
>
> All the best,
> A
>
> -----Mensaje original-----
> De: SPSSX(r) Discussion <

> SPSSX-L@.UGA

> > En nombre de Art Kendall
> Enviado el: martes, 16 de marzo de 2021 16:56
> Para:

> SPSSX-L@.UGA

> Asunto: Re: Binary Logistic Regression for Rare Events
>
> Why do you believe the *residuals* are severely discrepant from normally
> distributed?
>
> I suggest you try CATREG and see if it makes a meaningful substantive
> difference in fit with nominal vs ordinal measurement level assumptions.
> You might even try continuous vs ordinal assumptions.
>
>  
>
>
>
> -----
> Art Kendall
> Social Research Consultants
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-----
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Bruce Weaver
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