Table of Contents

Preface 1. Introduction to Structural Equation Modeling 2. Data Screening, Assessing Reliability, Validity, and Identification 3. Understanding the AMOS Program 4. Measurement Model Analysis 5. Path and Full Structural Models 6. Mediation 7. Moderation 8. Using Categorical Independent Variables in SEM 9. Latent Growth Curve Models 10. Advanced Topics in SEM Appendix

About the Author

Joel E. Collier Ph.D. is the Tommy and Terri Nusz Professor of Marketing at Mississippi State University, USA. He is also the Ph.D. Director for doctoral studies in the Department of Marketing. Dr. Collier teaches structural equation modeling on the doctoral level and has published numerous articles in the top journals of his field using this technique. He has also worked as a consultant for the following firms: Time Warner, Muvico, Reeds Jewelers, Cashman Photo, and the Carolina Hurricanes professional hockey team.

Reviews

“This is one of the best book on Statistics and Research Methods I have ever reviewed so far. This book covers all you need to know on SEM i.e., the concept, introduction to the software, how to prepare data in SPSS and AMOS for analysis, measurement and structural elements of latent variable modelling, full SEM, mediation & moderation with latent variables, and latent growth analysis. To my knowledge, this is the most comprehensive book on the market. I highly recommend this book and I will definitely recommend it to all my students (undergraduate and postgraduate).” -- Daniel Boduszek, University of Huddersfield, UK & SWPS University, Poland