Publication type
Journal Article
Authors
Publication date
June 1, 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
Volume: 62 (2): 401-415
DOI
http://dx.doi.org/10.1348/000711008X320134
Subjects
Notes
Albert Sloman Library Periodicals *restricted to Univ. Essex registered users*
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