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Journal Article

Latent variable models for multivariate longitudinal ordinal responses

Authors

Publication date

2009

Abstract

The paper proposes a full information maximum likelihood estimation method for modelling multivariate longitudinal ordinal variables. Two latent variable models are proposed that account for dependencies among items v/ithin time and between time. One model fits item-specific random effects which account for the between time points correlations and the second model uses a common fector. The relationships between the time-dependent latent variables are modelled with a non-stationary autoregressive model. The proposed models are fitted to a real data set.

Published in

British Journal of Mathematical and Statistical Psychology

Volume

62 (2): 401-415

DOI

http://dx.doi.org/10.1348/000711008X320134

Subjects

Statistical Analysis and Statistical Mathematics

Links

http://serlib0.essex.ac.uk/record=b1676927~S5

Notes

Albert Sloman Library Periodicals *restricted to Univ. Essex registered users*

#513235


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