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Latent variable models for multivariate longitudinal ordinal responses

Cagnone, Silvia, Moustaki, Irini 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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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
Library of Congress subject classification: Q Science > QA Mathematics
Sets: Departments > Statistics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Date Deposited: 23 Jun 2008 16:13
URL: http://eprints.lse.ac.uk/5434/

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