Abstract
The recent development of probabilistic Thurstonian choice models for analyzing preference data has been motivated by the need to describe both inter- and intra-individual difference, the multidimensional nature of choice objects, and the effects of similarity and comparability among choice objects. A common feature of these models is that they focus on a single preference judgment. It is customary, however, to ask subjects not only for an overall preference judgment but also for additional paired comparison responses regarding specific attributes. This paper proposes a generalization of Thurstonian probabilistic choice models for analyzing both multiple preference responses and their relationships. The approach is illustrated by modeling data from two multivariate preference experiments.
Original language | English (US) |
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Pages (from-to) | 391-403 |
Number of pages | 13 |
Journal | Psychometrika |
Volume | 55 |
Issue number | 2 |
DOIs | |
State | Published - Jun 1990 |
Keywords
- Bahadur's approximation
- Thurstonian models
- paired comparison
ASJC Scopus subject areas
- General Psychology
- Applied Mathematics