In a sense, ordinal regression is a non-sequitar. The data are ordinal and
not metric and X[1] - X[2] is meaningless. There are many tests for data in
contingency table form treated as ordered categories. Still, one need impose
a metric on non-metric data for the most part. The StatXact Manual is the
best single source of information. See, also, Common Errors in Statistics
(and How to Avoid Them).
Phillip Good
----- Original Message -----
From: Tarry, Natalie (MBWAR st) <[log in to unmask]>
To: <[log in to unmask]>
Sent: Wednesday, December 03, 2003 4:32 AM
Subject: Ordinal Regression
> Hi All
>
> Can anyone point me in the direction of some papers / discussions on
> Ordinal Regression?
>
> I'm looking in particular for it's uses and how to interpret the output.
>
> Many thanks
>
> Natalie
>
> Natalie Tarry
> Analytical Specialist, Statistics Department
> Millward Brown, Warwick.
> Telephone : 01926 826294
>
>
>
> ====================================================
> This email is confidential and intended solely for the use of the
> individual or organisation to whom it is addressed. Any opinions or
> advice presented are solely those of the author and do not necessarily
> represent those of the Millward Brown Group of Companies. If you are
> not the intended recipient of this email, you should not copy, modify,
> distribute or take any action in reliance on it. If you have received
> this email in error please notify the sender and delete this email
> from your system. Although this email has been checked for viruses
> and other defects, no responsibility can be accepted for any loss or
> damage arising from its receipt or use.
> ====================================================
>
|