Re: Binary Logistic Regression for Rare Events

Posted by Alejandro González Heras on Mar 16, 2021; 4:35pm
URL: http://spssx-discussion.165.s1.nabble.com/Binary-Logistic-Regression-for-Rare-Events-tp5740296p5740307.html

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 <[hidden email]> En nombre de Art Kendall
Enviado el: martes, 16 de marzo de 2021 16:56
Para: [hidden email]
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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