A mixture model for longitudinal partially ranked data DOI:10.1080/03610926.2013.815779

Brian Francis, Regina Dittrich, Reinhold Hatzinger, Leslie Humphreys

Publication: Scientific journalJournal articlepeer-review


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
Original languageEnglish
Pages (from-to)722 - 734
JournalCommunications in Statistics. Theory and Methods
Issue number4
Publication statusPublished - 1 May 2014

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