Timeline for Ordinal or binomial regression?
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Mar 19, 2016 at 11:13 | comment | added | Matthew Rogers | Thanks, for binomial logistic would I need to use dummy variables for all of my IV's then? | |
| Mar 18, 2016 at 18:00 | comment | added | ttnphns |
Even thought the independent variables are ordinal "Ordinal" regression means ordinal DV, not ordinal IVs. There is no universal or ideal manner to treat ordinal predictors in regression. Some approaches are mentioned here.
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| Mar 18, 2016 at 17:55 | comment | added | ttnphns | Since the DV is dichotomous, you may use any of the three: binary logistic, ordinal, nominal regressions. They all are logistic. They should yield identical or almost identical results whenever data are enough "good" for such analysis. The first one is somewhat different algorithmically, computationally from the other two. This is, btw mentioned in SPSS Help. I quoted it here. | |
| Mar 18, 2016 at 17:43 | answer | added | Thomas Cleberg | timeline score: 2 | |
| Mar 18, 2016 at 17:27 | answer | added | Marquis de Carabas | timeline score: 2 | |
| Mar 18, 2016 at 16:11 | review | First posts | |||
| Mar 18, 2016 at 16:15 | |||||
| Mar 18, 2016 at 16:07 | history | asked | Matthew Rogers | CC BY-SA 3.0 |