Quotation 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.




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


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
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


Dittrich, Regina (Former researcher)
Hatzinger, Reinhold (Former researcher)
Francis, Brian
Humphreys, Leslie
Institute for Statistics and Mathematics IN (Details)
Google Scholar: Search