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Re: st: how to handle rank ordered responses
From
Alfonso Sanchez-Penalver <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: how to handle rank ordered responses
Date
Tue, 5 Nov 2013 08:28:50 -0500
Hi Ramesh,
I'm not sure if anyone has responded to you yet on this. I just came across it. Do you have -rologit- available in your version if Stata? This fits a ranked order logistic regression which estimates the joint probabilities of the ordered outcomes.
Best,
Alfonso Sanchez-Penalver
> On Oct 18, 2013, at 12:14 PM, ramesh <[email protected]> wrote:
>
> Hello Statalist,
> I am working to analyze how site specific attributes (water quality,
> closeness, wildlife, and size) affect people’s participation on freshwater
> recreation activities (boating, swimming, fishing, viewing, etc.). I have
> survey data and people expressed their views regarding the importance of
> site specific attributes in a scale from 0 to 3, with 0 - not important at
> all and 3 -most important. My data structure looks like:
>
> id boating fishing swimming viewing water-quality closeness
> wildlife size controls(x)
> -- ------- ----- ------ ----- ----------- --------
> ---- ---- ------
> 1 yes no yes yes 3 1
> 2 0 yes
> 2 no yes no yes 1 2
> 3 0 yes
> 3 yes yes yes no 1 2
> 0 3 yes
> . .. ... ....
>
> I want to estimate which one attribute is most important and important for
> each of these activities. I am thinking to use logit/probit type model and
> control for site specific attributes. Do you think it is right way to
> estimate the model? I am bit confused since the responses on these site
> specific attributes are not binary, rather they are ordinal. I would great
> appreciate your response.
>
> Ramesh Ghimire
> University of Georgia
>
>
>
>
> --
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