Bayesian Structural Equation Modeling

This book provides a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM), with engaging worked-through examples and instructions for writing up findings for publication.

Format: Hardback
Length: 521 pages
Publication date: 26 October 2021
Publisher: Guilford Publications

This comprehensive book provides researchers with a thorough and user-friendly introduction to employing a Bayesian framework in structural equation modeling (SEM). It consists of dedicated chapters that meticulously explain the Bayesian form of various SEM models, guiding the reader through their implementation step by step. Engaging worked-through examples from diverse social science subfields showcase the diverse modeling techniques, highlighting statistical or estimation challenges that may arise and proposing potential solutions. Each model is accompanied by detailed instructions for writing up findings for publication, including annotated sample data analysis plans and results sections. Additionally, the book features user-friendly features such as Major Take-Home Points, notation glossaries, annotated suggestions for further reading, and sample code in both M plus and R. The companion website ( www.guilford.com/depaoli-materials ) offers a wealth of additional resources, including data sets, annotated code for implementation in both M plus and R, and output for all of the book's examples. By utilizing this resource, researchers can gain a deep understanding of Bayesian SEM and apply its powerful techniques to their research endeavors.

Weight: 1036g
Dimension: 261 x 185 x 34 (mm)
ISBN-13: 9781462547746