Meaningful regression and association models for clustered ordinal data

Jokinen, Jukka, McDonald, John W. and Smith, Peter W. F. (2006) Meaningful regression and association models for clustered ordinal data Sociological Methodology (doi:10.1111/j.1467-9531.2006.00173.x).


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Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, often the association structure is of equal interest, for example, temporal association in longitudinal studies and association between responses to similar questions in a survey. We discuss the use, appropriateness and interpretability of various latent variable and Markov models for the association structure and propose a new structure that exploits the ordinality of the response. The models are illustrated with a study concerning opinions regarding government spending and an analysis of stability and change in teenage marijuana use over time, where we reveal different behavioral patterns for boys and girls through a comprehensive investigation of individual response profiles.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1467-9531.2006.00173.x
ISSNs: 1467-9531 (print)
ePrint ID: 14001
Date :
Date Event
14 January 2005Submitted
14 January 2006Published
Date Deposited: 14 Jan 2005
Last Modified: 16 Apr 2017 23:48
Further Information:Google Scholar

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