Posted by
Alejandro González Heras on
Mar 16, 2021; 6:14pm
URL: http://spssx-discussion.165.s1.nabble.com/Binary-Logistic-Regression-for-Rare-Events-tp5740296p5740311.html
Much appreciated Bruce and Art :)
-----Mensaje original-----
De: SPSSX(r) Discussion <
[hidden email]> En nombre de Bruce Weaver
Enviado el: martes, 16 de marzo de 2021 19:07
Para:
[hidden email]
Asunto: Re: Binary Logistic Regression for Rare Events
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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