Conjoint measurement : methods and applications

This fascinating book covers all the recent developments in conjoint analysis. Leading scientists present different aspects of the theory and applications of this technique. A wide variety of models, techniques, and applications are discussed, including normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modeling, new choice simulators, and normative models for representing competitive actions and reactions (based on game theory).

Paul E. GreenAnders Gustafsson and Andreas Herrmann and Frank HuberVithala R. Rao and Henrik SattlerDaniel Baier and Wolfgang GaulHenrik Sattler and Susanne Hensel-BornerOla Blomkvist and Fredrik Ekdahl and Anders GustafssonFrank Huber and Andreas Herrmann and Anders GustafssonThorsten Teichert and Edlira ShehuTerry Elrod and Keith ChrzanWagner Kamakura and Muammer OzerJordan Louviere and David Hensher and Joffre SwaitRinus Haaijer and Michel WedelOlivier Toubia and Theodoros Evgeniou and John HauserJoachim Giesen and Eva SchuberthBenedikt G.C. Dellaert and Aloys W.J. Borgers and Jordan J. Louviere and Harry J.P. TimmermansVenkatram Ramaswamy and Steven H. CohenWayne S. DeSarbo and Christian F. DeSarboJoel Huber and Bryan Orme and Richard MillerDavid B. Whitlark and Scott M. Smith

Foreword	p. 1
1 Conjoint Analysis as an Instrument of Market Research Practice	p. 3
2 Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price	p. 31
3 Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data	p. 47
4 A Comparison of Conjoint Measurement with Self-Explicated Approaches	p. 67
5 Non-geometric Plackett-Burman Designs in Conjoint Analysis	p. 77
6 On the Influence of the Evaluation Methods in Conjoint Design - Some Empirical Results	p. 93
7 Evolutionary Conjoint	p. 113
8 The Value of Extent-of-Preference Information in Choice-Based Conjoint Analysis	p. 133
9 A Multi-trait Multi-method Validity Test of Partworth Estimates	p. 145
10 Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods	p. 167
11 Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications	p. 199
12 Optimization-Based and Machine-Learning Methods for Conjoint Analysis: Estimation and Question Design	p. 231
13 The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis	p. 259
14 Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages	p. 273
15 Latent Class Models for Conjoint Analysis	p. 295
16 A Generalized Normative Segmentation Methodology Employing Conjoint Analysis	p. 321
17 Dealing with Product Similarity in Conjoint Simulations	p. 347
18 Sales Forecasting with Conjoint Analysis by Addressing Its Key Assumptions with Sequential Game Theory and Macro-Flow Modeling	p. 363
Author Index	p. 371

Available:*

On Order

Summary

Summary

Table of Contents