A selection of 15 papers on choice modeling are presented in this volume. These papers result from research in the social and behavioral sciences and in economics. The models, some deterministic, some probabilistic, represent recent developments in the tradition of Thurstone's Law of Comparative Judgement, Coombs' unfolding theory and multidimensional scaling. The theoretical contributions and several applications to voting behaviour, consumer research and preference rankings show the important progress made in psychological choice modeling during the last few years.
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An Analytical Approach to Unfolding
GENFOLD 2: A General Unfolding Methodology for the Analysis of Preference/Dominance Data
Maximum Likelihood Unidimensional Unfolding for a Probabilistic Model without Distributional Assumptions
Latent Class Models for the Analysis of Rankings
The Wandering Ideal Point Model for Analyzing Paired Comparisons Data
Analysis of Covariance Structures and Probabilistic Binary Choice Models
Two Classes of Stochastic Tree Unfolding Models
Probabilistic Multidimensional Analysis of Preference Ration Judgments
Testing Probabilistic Choice Models
On the Axiomatic Foundations of Unfolding, with an Application to Political Party Preferences of German Voters
Unfolding and Consensus Ranking: A Prestige Ladder for Technical Occupations
Unfolding the German Political Parties: A Description and Application of Multiple Unidimensional Unfolding
Probabilistic Multidimensional Scaling Models for Analyzing Consumer Choice Behavior
Probabilistic Choice Behavior Models and their Combination with Additional Tools Needed for Applications to Marketing