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Re: st: continuous data measured as ordinal catogories


From   Clive Nicholas <[email protected]>
To   [email protected]
Subject   Re: st: continuous data measured as ordinal catogories
Date   Fri, 9 Apr 2010 08:24:22 +0200

Shehzad Ali wrote:

> This question is probably beyond the scope of this list (so apologies in advance). I am dealing with an odd dataset in which willingness-to-pay has been measured using the following categories:
>
> $1 per month
> $5 per month
> $10 per month
> Any other amount/month
>
> I find this data very odd for the purpose of analysis (regression or other statistical methods). I want to model the relationship of willingness-to-pay and respondent characteristics. I wonder if someone on the list has any thoughts.

In addition to Rich's comments, I would simply omit the last category
if the Ns are small in both absolute and relative terms. In fact,
since it is not very meaningful, I would just omit it full stop and
run an -ologit- or -oprobit- analysis as usual.

-- 
Clive Nicholas

[Please DO NOT mail me personally here, but at
<[email protected]>. Please respond to contributions I make in
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"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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