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Journal Article

A mixture model for longitudinal partially ranked data

Authors

Publication date

2014

Summary

This article discusses the use of mixture models in the analysis of longitudinal partially ranked data, where respondents, for example, choose only the preferred and second preferred out of a set of items. To model such data we convert it to a set of paired comparisons. Covariates can be incorporated into the model. We use a nonparametric mixture to account for unmeasured variability in individuals over time. The resulting multi-valued mass points can be interpreted as latent classes of the items. The work is illustrated by two questions on (post)materialism in three sweeps of the British Household Panel Survey.

Published in

Communications in Statistics: Theory and Methods

Volume and page numbers

43 , 722 -734

DOI

http://dx.doi.org/10.1080/03610926.2013.815779

ISSN

16

Subjects

Statistical Mathematics and Surveys

Notes

Not held in Research Library - bibliographic reference only; Online in Albert Sloman Library, except current 12 months

#522429


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