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Re: st: Nominal or ordinal?


From   Clive Nicholas <clivelists@googlemail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Nominal or ordinal?
Date   Fri, 13 Aug 2010 01:38:50 +0100

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
<clivenicholas@hotmail.com>. 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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