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Re: st: Nominal or ordinal?

From   Steve Samuels <>
Subject   Re: st: Nominal or ordinal?
Date   Thu, 12 Aug 2010 21:30:36 -0400

Chelsea,  Ordinal logistic regression does require an assumption that
categories are "equally spaced".  Perhaps you are confusing ordinal
logistic regression with multiple regression on the category scores.


Steven Samuels
18 Cantine's Island
Saugerties NY 12477
Voice: 845-246-0774
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On Thu, Aug 12, 2010 at 8:38 PM, Clive Nicholas
<> wrote:
> Chelsea B Polis wrote:
>> I am working with a dependent variable that has the following four potential responses: (1) Not Likely, (2) Slightly Likely, (3) Quite Likely, (4) Extremely Likely.
>> A colleague thinks this is an ordinal variable which should be analyzed using ordered
>> logit regression.  My sense was that this is a nominal variable, and should be analyzed > using multinomial regression - since we cannot know if the levels are
>> equally spaced in people's minds.
> In addition to the excellent responses given, with which I concur, you
> could treat the variable as multinomial, regress it onto your
> independent variables by fitting -mlogit-, and then test the IIA
> assumption with the user-written -mlogtest- (downloadable via STB:
> -net stb 58 sg155-). If the IIA is violated, then you might consider
> combining a couple of the indicators of your response variable before
> running it through -ologit- or -oprobit-. Then again, you might think
> of all this as rather too exotic.
> --
> Clive Nicholas
> [Please DO NOT mail me personally here, but at
> <>. Please respond to contributions I make in
> a list thread here. Thanks!]
> "My colleagues in the social sciences talk a great deal about
> methodology. I prefer to call it style." -- Freeman J. Dyson.
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