[R-sig-ME] how to specify the response (dependent) variable in a logistic regression model

[Thierry Onkelinx]

Dear John,

I can understand that the responses are not ordinal. But why not
multinomial?

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op wo 13 jan. 2021 om 19:03 schreef John Kingston <jkingstn using umass.edu>:

> Dear colleagues,
> I hope this is the right forum for asking this question.
>
> I have data from an experiment in which participants were asked to give one
> of four responses to stimuli. The responses could be characterized as
> representing the possible value of two variables, such that:
>
> Response Variable 1 Variable 2
> 1               0               0
> 2               1               0
> 3               0               1
> 4               1               1
>
> The possible responses are therefore neither ordinal nor multinomial in
> character.
>
> I have run three separate logistic regressions in which the responses 2, 3,
> and 4 were each compared to response 1. The results are all sensible and
> interpretable in terms of the expected effects of the three independent
> variables. But I'm worried that doing so has required taking subsets from
> responses that were collected together, and that the model interpretation
> is thereby compromised.
>
> I can provide more information about the model specification if that would
> be helpful
>
> Any advice or a referral to the right forum would be greatly appreciated.
> Best,
> John
>
> John Kingston
> Professor
> Linguistics Department
> University of Massachusetts
> N434 Integrative Learning Center
> 650 N. Pleasant Street
> Amherst, MA 01003
> 1-413-545-6833, fax -2792
> jkingstn using umass.edu
> https://blogs.umass.edu/jkingstn
> <https://blogs.umass.edu/jkingstn/wp-admin/>
>
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