Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods |
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Authors: | Sophia Rabe-Hesketh Anders Skrondal |
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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 |
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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. |
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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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