It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
A synthesis of developments in ordered choice modeling over the past fifty years.
The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues.
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation.
Scarpa, R., Campbell, D. and Hutchinson, G. (2005) Individual benefit estimates for rural landscape improvements: the role of sequential Bayesian design and response rationality in a choice study, Paper presented at the 14th Annual ...
David A. Hensher, Lester W. Johnson. b°/co-b/c:(10.3) Let M* be such that VA*= 81*X1A+ 82°x2A+ 83°x3AVB*= 81*X1B+ 82°x2B+ 33*X3BVC*= 81*X1C+ 82°x2C+ 83°x3C It is clearly the case that equations (10.1), (10.2) and (10.3) above can only ...
The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here.
This book explains what ordered and multinomial models are and also shows how to apply them to analysing issues in the social sciences.
Table of contents
Published Titles Analyzing Spatial Models of Choice and Judgment with R David A. Armstrong II, Ryan Bakker, ... Kamp Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences Brian S. Everitt Multilevel Modeling Using ...
Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and ...