(Ebook) Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences by Xin?Yuan Song, Sik?Yum Lee(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.) ISBN 9780470669525, 9781118358887, 0470669527, 1118358880

(Ebook) Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences by Xin?Yuan Song, Sik?Yum Lee(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.) ISBN 9780470669525, 9781118358887, 0470669527, 1118358880

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.Researchers and advanced level students in statistics, biostatistics, public health, business, education, psychology and social science will benefit from this book. Content: Chapter 1 Introduction (pages 1–15): Chapter 2 Basic Concepts and Applications of Structural Equation Models (pages 16–33): Chapter 3 Bayesian Methods for Estimating Structural Equation Models (pages 34–63): Chapter 4 Bayesian Model Comparison and Model Checking (pages 64–85): Chapter 5 Practical Structural Equation Models (pages 86–129): Chapter 6 Structural Equation Models with Hierarchical and Multisample Data (pages 130–161): Chapter 7 Mixture Structural Equation Models (pages 162–195): Chapter 8 Structural Equation Modeling for Latent Curve Models (pages 196–223): Chapter 9 Longitudinal Structural Equation Models (pages 224–246): Chapter 10 Semiparametric Structural Equation Models with Continuous Variables (pages 247–270): Chapter 11 Structural Equation Models with Mixed Continuous and Unordered Categorical Variables (pages 271–305): Chapter 12 Structural Equation Models with Nonparametric Structural Equations (pages 306–340): Chapter 13 Transformation Structural Equation Models (pages 341–357): Chapter 14 Conclusion (pages 358–360):