with applications in the medical and behavioral sciences Song, Xin-Yuan. creator Lee, Sik-Yum. text bibliography Electronic books. enk Chichester, West Sussex John Wiley & Sons 2012 monographic eng 1 online resource (xvii, 367 pages) : illustrations. "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 Modeling 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."--Publisher's website. Introduction -- Basic concepts and applications of structural equation models -- Bayesian methods for estimating structural equation models -- Bayesian model comparison and model checking -- Practical structural equation models -- Structural equation models with hierarchical and multisample data -- Mixture structural equation models -- Structural equation modeling for latent curve models -- Longitudinal structural equation models -- Semiparametric structural equation models with continuous variables -- Structural equation models with mixed continuous and unordered categorical variables -- Structural equation models with nonparametric structural equations -- Transformation structural equation models -- Conclusion. Xin-Yuan Song and Sik-Yum Lee. Includes bibliographical references and index. Bayesian statistical decision theory Structural equation modeling Mathematics Bayesian statistical decision theory Structural equation modeling QA278.3 519.5/3 519.53 MAT029000 Song, Xin-Yuan. Chichester, West Sussex : John Wiley, 2012 (DLC) 2012012199 (OCoLC)853461614 9781118358887 1118358880 9781118359433 1118359437 http://onlinelibrary.wiley.com/book/10.1002/9781118358887 http://onlinelibrary.wiley.com/book/10.1002/9781118358887 EBLCP 120709 20170612141628.0 ocn798536286 eng