Manifest and Latent Markov Chain Models for Categorical Panel Data

Rolf Langeheine

Journal of Educational and Behavioral Statistics, 1988, vol. 13, issue 4, 299-312

Abstract: The starting point of this paper is a 3 × 3 × 3 table of repeated behavior ratings of children, which has been previously analyzed by Plewis (1981) using manifest discrete time and continuous time Markov chain models. Potential reasons for the ubiquitous misfit of the manifest discrete time Markov chain model are outlined. It is proposed, instead, to make use of more recent developments in latent discrete time Markov chain modeling that simultaneously address the main problems of heterogeneity, measurement error, stationarity, and order effects.

Keywords: categorical data; longitudinal data; Markov models (search for similar items in EconPapers)
Date: 1988
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:13:y:1988:i:4:p:299-312

DOI: 10.3102/10769986013004299

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