"This handbook offers comprehensive coverage of structural equation modeling (SEM), beginning with background issues, continuing through statistical underpinnings and steps in implementation, then moving into basic and advanced applications of SEM. In a single volume, it offers virtually complete coverage of SEM and its use"--
Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.
example, than to travel to twenty different schools to obtain data from one student at each. In ... However, formulas for calculating standard errors that are incorporated into most statistical packages are based on an SRS design where ...
Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social ...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text.
By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical ...
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. ...
However, when variances are small, this prior has been shown to perform rather poorly (Schuurman, Grasman, & Hamaker, 2016). In order to get around the restrictive nature of the basic form of the (inverse) Wishart distribution, ...
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables.
Providing an accessible guide to the application, interpretation & pitfalls of structural equation modelling, this text has now been fully revised & offers substantial new chapters as well as access to the first SEM text web page.
I enjoyed reading this book and recommend it highly. This book will be of particular interest to advanced students, academics, and practitioners.