TY - JOUR

T1 - Latent class mixed effects models for partially ranked preferences

T2 - examining changes in postmaterialism over time.

AU - Francis, Brian

AU - Dittrich, Regina

AU - Hatzinger, Reinhold

PY - 2012/5

Y1 - 2012/5

N2 - This paper discusses the use of mixture models to allow for a random effects structure in the analysis of partially ranked data. Partially ranked data occur in sample surveys, where respondents are invited to choose the preferred and second most preferred (or the most preferred and least preferred) out of a larger set of items. We adopt an paired comparison approach used by Dittrich et al (2007) which treats partially ranked data as originating from underlying Likert scales. The work is motivated by two questions on (post)materialism in consecutive sweeps of the British Household Panel Survey. As part of the survey, respondents were asked to choose the most preferred and the next most preferred out of a set of four items representing preferred priorities for government.

AB - This paper discusses the use of mixture models to allow for a random effects structure in the analysis of partially ranked data. Partially ranked data occur in sample surveys, where respondents are invited to choose the preferred and second most preferred (or the most preferred and least preferred) out of a larger set of items. We adopt an paired comparison approach used by Dittrich et al (2007) which treats partially ranked data as originating from underlying Likert scales. The work is motivated by two questions on (post)materialism in consecutive sweeps of the British Household Panel Survey. As part of the survey, respondents were asked to choose the most preferred and the next most preferred out of a set of four items representing preferred priorities for government.

KW - Nonparametric maximum likelihood

KW - Latent class analysis

KW - Paired comparisons.

M3 - Journal article

VL - 14

SP - 109

EP - 112

JO - Quaderni di Statistica

JF - Quaderni di Statistica

SN - 1594-3739

ER -