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Re: st: continuous data measured as ordinal catogories
From
Shehzad Ali <[email protected]>
To
[email protected]
Subject
Re: st: continuous data measured as ordinal catogories
Date
Fri, 9 Apr 2010 14:09:22 +0000 (GMT)
Thank you, Richard, Maaten and Clive. These are all very helpful suggestions.
I want to use willingness-to-pay as the dependent variable. The category 'other' includes random amounts that are may be less or greater than the highest amount category (i.e. $10). These 'other' amounts account for around 10% of the data. I assume that using the response categories of $1, $5, $10 and 'other amounts' as a continuous variable would be inappropriate, or would it?
Many thanks,
Shehzad
----- Original Message ----
> From: Maarten buis <[email protected]>
> To: [email protected]
> Sent: Fri, 9 April, 2010 8:25:45
> Subject: Re: st: continuous data measured as ordinal catogories
>
> --------------------------
Maarten L. Buis
Institut fuer
> Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074
> Tuebingen
Germany
> >http://www.maartenbuis.nl
--------------------------
--- On
> Fri, 9/4/10, Richard Williams wrote:
> If you want it as an independent
> variable, my first impulse
> is to break it into dummies.
A
> somewhat uncommon but sometimes useful interpretation of such
a model is that
> it simultaneously fits an optimal scale for
your ordinal variable and an
> effect of that optimally scaled
variable. The scale is optimal in the sense
> that it best
predicts the dependent variable. The sheaf-coefficients, as
>
implemented in -sheafcoef-, uses that approach. This allows
you to
> _both_ present a single effect of willingness to pay and
use the more
> flexible approach proposed Richard. You can
download -sheafcoef- by typing
> -ssc install sheafcoef-, and it
is discussed in this paper: <> href="http://www.maartenbuis.nl/wp/prop.html"; target=_blank
> >http://www.maartenbuis.nl/wp/prop.html>
Hope this
> helps,
Maarten
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