Francis, Brian, Dittrich, Regina, Hatzinger, Reinhold, Humphreys, Leslie. 2014. A mixture model for longitudinal partially ranked data
DOI:10.1080/03610926.2013.815779. Communications in Statistics. Theory and Methods 43 (4): 722-734.
BibTeX
Abstract
This paper 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 multivalued 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
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Status of publication | Published |
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Affiliation | WU |
Type of publication | Journal article |
Journal | Communications in Statistics. Theory and Methods |
Citation Index | SCI |
Language | English |
Title | A mixture model for longitudinal partially ranked data DOI:10.1080/03610926.2013.815779 |
Volume | 43 |
Number | 4 |
Year | 2014 |
Page from | 722 |
Page to | 734 |
URL | http://www.tandfonline.com/doi/abs/10.1080/03610926.2013.815779#.U2o4D4fmRaR |
Associations
- People
- Dittrich, Regina (Former researcher)
- Hatzinger, Reinhold (Former researcher)
- External
- Francis, Brian
- Humphreys, Leslie
- Organization
- Institute for Statistics and Mathematics IN (Details)