Hello,
With 3000-row data I created externally to run the explicit partial profiles design, I get the MNL D-Error as 7374. How can we check against this value to understand whether our design is good enough?
Thank you very much!
Beyza
MNL D-Error Value
Moderators: Andrew Collins, Michiel Bliemer, johnr
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Michiel Bliemer
- Posts: 2055
- Joined: Tue Mar 31, 2009 4:13 pm
Re: MNL D-Error Value
Such a large D-error is very suspicious and indicates a very poorly identified model. It could be that you specified utility functions unidentified parameters, or you could have included correlated attribute levels in your candidate set. A D-error is usually below 1 or 2, anything above it is not a good sign.
Michiel
Michiel