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Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods
Authors:Sophia Rabe-Hesketh  Anders Skrondal
Affiliation:(1) Graduate School of Education, University of California at Berkeley and University of London, 3659 Tolman Hall, Berkeley, CA 94720-1670, USA;(2) London School of Economics and Norwegian Institute of Public Health, London
Abstract:Composite links and exploded likelihoods are powerful yet simple tools for specifying a wide range of latent variable models. Applications considered include survival or duration models, models for rankings, small area estimation with census information, models for ordinal responses, item response models with guessing, randomized response models, unfolding models, latent class models with random effects, multilevel latent class models, models with log-normal latent variables, and zero-inflated Poisson models with random effects. Some of the ideas are illustrated by estimating an unfolding model for attitudes to female work participation. We wish to thank The Research Council of Norway for a grant supporting our collaboration.
Keywords:composite link  exploded likelihood  unfolding  multilevel model  generalized linear mixed model  latent variable model  item response model  factor model  frailty  zero-inflated Poisson model  gllamm
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