Clustering ranked preference data using sociodemographic covariates

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Gormley, Isobel Claire
dc.contributor.author Murphy, Thomas Brendan
dc.date.accessioned 2011-03-10T11:15:05Z
dc.date.available 2011-03-10T11:15:05Z
dc.date.copyright 2010 Emerald Group Publishing Limited en
dc.date.issued 2010-01
dc.identifier.isbn 9781849507721
dc.identifier.uri http://hdl.handle.net/10197/2833
dc.description.abstract Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges. To cluster a population of judges, the population is modelled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge’s ranked preferences within a group. A mixture of Plackett-Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges. Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models. Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the Expectation-Maximization and the Minorization-Maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modelling using covariates is insightful when examining a population of judges who express preferences. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 246621 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Emerald en
dc.relation.ispartof Hess, S. & Daly, A. (eds.). Choice modelling : the state-of-the-art and the state-of-practice en
dc.subject Rank data en
dc.subject Preference data en
dc.subject Clustering en
dc.subject Mixture models en
dc.subject Mixture of experts models en
dc.subject Plackett-Luce model en
dc.subject Covariates en
dc.subject.lcsh Choice (Psychology)--Mathematical models en
dc.subject.lcsh Cluster analysis en
dc.subject.lcsh Analysis of covariance en
dc.subject.lcsh Mixture distributions (Probability theory) en
dc.title Clustering ranked preference data using sociodemographic covariates en
dc.type Book Chapter en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor Gormley|Isobel Claire|aut| en
dc.neeo.contributor Murphy|Thomas Brendan|aut| en


Files in this item

This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository


Advanced Search

Browse