This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research. Noted for its accessible, applied approach, chapters cover basic concepts and practices and computer input/output from the free student version of Lisrel 8.
A Beginner's Guide to Structural Equation Modeling
✍ Scribed by Tiffany A. Whittaker, Randall E. Schumacker
- Publisher
- Routledge
- Year
- 2022
- Tongue
- English
- Leaves
- 419
- Edition
- 5
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
A Beginner’s Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition.
All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses.
This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.
✦ Table of Contents
CONTENTS
PREFACE
ACKNOWLEDGMENTS
ABOUT THE AUTHORS
Chapter 1: Introduction
Chapter 2: Data Entry and Editing Issues
Chapter 3: Correlation and Regression Methods
Chapter 4: Path Models
Chapter 5: SEM Basics
Chapter 6: Factor Analysis
Chapter 7: Full SEM
Chapter 8: Extensions of CFA Models
Chapter 9: Multiple Group (Sample) Models
Chapter 10: SEM Considerations
Appendix 1: Introduction to Matrix Operations
Appendix 2: Statistical Tables
NAME INDEX
SUBJECT INDEX
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