A Beginner's Guide to Structural Equation Modeling

The fifth edition of A Beginners Guide to Structural Equation Modeling has been redesigned to consider a true beginner in structural equation modeling (SEM). It covers introductory through intermediate topics in SEM in more detail and includes easy-to-follow, step-by-step guidelines and examples of tables to include in results sections. Updated information about methodological research in relevant areas helps students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses improves the rigor of SEM analyses.

Format: Hardback
Length: 400 pages
Publication date: 28 April 2022
Publisher: Taylor & Francis Ltd

A Beginner's Guide to Structural Equation Modeling, Fifth Edition, has undergone a complete redesign to cater specifically to individuals who are new to structural equation modeling (SEM). This comprehensive guide covers a wide range of introductory to intermediate topics in SEM, providing in-depth explanations and practical guidelines that are tailored to the needs of beginners.

To facilitate the learning process, all chapters that introduce SEM models have been extensively revised. These chapters now include easy-to-follow, step-by-step instructions that readers can utilize when conducting their own SEM analyses. Additionally, examples of tables that can be used as templates for presenting the findings from SEM analyses are included in these chapters.

The models presented in the text cover a broad spectrum, ranging from observed variable path models to full structural models, and even extend to testing higher-order models and multiple group modeling techniques. Furthermore, the book incorporates the latest information about methodological research in relevant areas, empowering students and researchers to become more informed readers of SEM research.

To enhance the rigor and quality of SEM analyses, a comprehensive checklist of SEM considerations is provided. This checklist encompasses a collective set of requirements that aim to improve the accuracy and reliability of SEM studies.

Designed with true beginners in SEM in mind, this book serves as an ideal resource for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. It is also valuable for researchers and faculty members from various disciplines who are interested in learning and applying SEM techniques.

As a prerequisite, it is assumed that readers have a solid understanding of correlation and regression methods.

Dimension: 254 x 178 (mm)
ISBN-13: 9780367490157
Edition number: 5 ed