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Latent variable models for multivariate longitudinal ordinal responses

Cagnone, Silvia, Moustaki, Irini ORCID: 0000-0001-8371-1251 and Vasdekis, Vassilis (2009) Latent variable models for multivariate longitudinal ordinal responses. British Journal of Mathematical and Statistical Psychology, 62 (2). pp. 401-415. ISSN 0007-1102

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Identification Number: 10.1348/000711008X320134

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 within 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 factor. 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.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/journal/10.1111/%28...
Additional Information: © 2008 British Psychological Society
Divisions: Statistics
Subjects: Q Science > QA Mathematics
Date Deposited: 23 Jun 2008 16:13
Last Modified: 27 Nov 2024 00:21
URI: http://eprints.lse.ac.uk/id/eprint/5434

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