This book is meant as a guide for implementing Bayesian methods for latent variable models. I have included thorough examples in each chapter, highlighting problems that can arise during estimation, potential solutions, and guides for how to write up findings for a journal article. This book is structured into 12 main chapters, beginning with introductory chapters comprising Part I. Part II is comprised of Chapters 3-5. Each of these chapters deals with various models and techniques related to measurement models within SEM. Part III contains Chapters 6-7, on extending the structural model. Part IV contains Chapters 8-10, on longitudinal and mixture models. Finally, Part IV contains chapters that discuss special topics--
- | Author: Sarah Depaoli
- | Publisher: The Guilford Press
- | Publication Date: 16-Aug-21
- | Number of Pages: 521 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 1462547745
- | ISBN-13: 9781462547746