Review of Generalized Latent Variable Modeling by Skrondal and Rabe-Hesketh
نویسنده
چکیده
The new book by Skrondal and Rabe-Hesketh (2004) is reviewed.
منابع مشابه
Review of Multilevel and Longitudinal Modeling Using Stata by Rabe-Hesketh and Skrondal
This article reviews Multilevel and Longitudinal Modeling Using Stata, by Rabe-Hesketh and Skrondal.
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Applications of composite links and exploded likelihoods for generalized linear latent and mixed models are explored.
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In the behavioral sciences, response variables are often noncontinuous, common types being dichotomous, ordinal or nominal variables, counts and durations. Conventional structural equation models (SEMs) have thus been generalized to accommodate different kinds of responses.
متن کاملMaximum likelihood estimation of generalized linear models with covariate measurement error
Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a program that fits a large class of multilevel latent variable models (Rabe-Hesketh, Skrondal, and Pickles 2004b). The program uses adaptive quadrature to evaluate the log-likelihood, producing more reliable results than many other methods (Rabe-Hesketh, Skrondal, and Pickles 2002). ...
متن کاملGeneralized Multilevel Structural Equation Modeling
A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to...
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تاریخ انتشار 2007