Abstract
This paper presents a Thurstonian model for the analysis of preference change. Preferences are expressed in the form of rankings, possibly with ties. A vector-autoregression framework is used to investigate relationships between past and current rankings. It is shown that this approach yields a parsimonious and easily interpretable representation of individual preference differences in time-dependent ranking data. A detailed analysis of the 1992 National Election Study illustrates the proposed approach.
Original language | English (US) |
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Pages (from-to) | 300-314 |
Number of pages | 15 |
Journal | Journal of Mathematical Psychology |
Volume | 46 |
Issue number | 3 |
DOIs | |
State | Published - Jan 1 2002 |
Keywords
- Maximum likelihood estimation
- Parameter-driven process
- Ranking data
- Ties
ASJC Scopus subject areas
- Psychology(all)
- Applied Mathematics