We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multidimensional unfolding analyses of ranking data for groups.
- Authors
Hojo, Hiroshi
- Abstract
One probabilistic version of Coombs' unfolding model called the MMUR (Marginalization model for the Multidimensional Unfolding analysis of Ranking data) is extended to treat ranking data for groups. One favorable feature of the model is that it can both take into consideration individual differences without estimating the subject parameters and capture the differences between the groups in a systematic manner. Another advantage lies in the fact that one can see the group differences in the geometrical point configuration, since the model shows how the ideal points of the groups differ from each other in space. Four applications are provided which demonstrate that the model is useful for clarifying systematic differences in this type of data.
- Subjects
UNIDIMENSIONAL unfolding model; SOCIAL groups
- Publication
Japanese Psychological Research, 1998, Vol 40, Issue 3, p166
- ISSN
0021-5368
- Publication type
Article
- DOI
10.1111/1468-5884.00088