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Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioural sciences by Sik-Yum Lee, Xin-Yuan Song, Xin-Yuan Song is a nonfiction available to read on EtoBox.

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**This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables.** __Basic and Advanced Bayesian Structural Equation Model____ing__ introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. * Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and

Who reads Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioural sciences?

Author

Sik-Yum Lee, Xin-Yuan Song, Xin-Yuan Song

Publisher

Wiley & Sons, Limited, John

Published

2012

Language

EN

ISBN

9781118359433

Category

nonfiction

Subjects

Psychology, Medical, Mathematics