## New Developments in Psychological Choice ModelingA 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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### Contents

1 | |

3 | |

Chapter 2 An analytical approach to unfolding | 33 |

A general unfolding methodology for the analysis of preferencedominance data | 57 |

Chapter 4 Maximum likelihood undimensional unfolding for a probilistic model without distributional assumptions | 77 |

Chapter 5 Latent class models for the analysis of rankings | 99 |

Chapter 6 The wandering ideal point model for analyzing paired comparisons data | 123 |

Chapter 7 Analysis of covariance structures and probabilistic binary choice data | 139 |

Chapter 9 Probabilistic multidimensional analysis of preference ratio judgments | 177 |

Chapter 10 Testing probabilistic choice models | 207 |

Chapter 11 On the axiomatic foundations of unfolding with an application to political party preferences of German voters | 221 |

A prestige ladder for technical occupations | 237 |

Chapter 14 Probabilistic multidimensional scaling models for analyzing consumer choice behavior | 291 |

Author index | 339 |

347 | |

Chapter 8 Two classes of stochastic tree unfolding models | 161 |

### Other editions - View all

New Developments in Psychological Choice Modeling Geert de Soete,Hubert Feger No preview available - 1989 |

### Common terms and phrases

ACOVS adjacency matrix algorithm assumed assumptions Axiom binary choice brands Carroll choice behavior choice models choice probabilities conﬁguration contingency table Coombs coordinates covariance covariance matrix deﬁned deﬁnition DeSarbo dimension distances distribution error evaluation F distribution ﬁnd ﬁnding ﬁrst ﬁt ﬁve frequency function GENFOLD2 Heiser ideal point model J-scale Journal of Mathematical latent class latent class model likelihood function Mathematical Psychology matrix metric monotonicity multidimensional analysis multidimensional scaling multidimensional unfolding nodes number of inversions obtained paired comparisons paired comparisons data parameters pattern permutation preference probabilistic choice procedure Psychometrika quantitative J scale random rank orders ratio judgments represented sample satisﬁes scale values Soete solution speciﬁc statistical statistical independence stimuli stimulus points stochastic structure subset sufﬁcient Table tion tree triple Type II theories ultrametric uncertainty values unfolding analysis unfolding model unfolding scale unidimensional unfolding variables variance wandering ideal point WIP model Zinnes