Using Mplus for Structural Equation Modeling 2/e

E. Kevin Kelloway is the Canada Research Chair in Occupational Health Psychology at Saint Mary's University. He received his PhD in Organizational Psychology from Queen's University (Kingston, ON) and taught for eight years at the University of Guelph. In 1999 he moved to Saint Mary's University where he also holds the position of Professor of Psychology. He was the founding director of the CN Centre for Occupational Health and Safety and the PhD program in Business Administration (Management). He was also a founding principal of the Centre for Leadership Excellence at Saint Mary's. An active researcher, he is the author/editor of 12 books and over 100 research articles and chapters. He is a Fellow of the Association for Psychological Science, the Canadian Psychological Association and of the Society for Industrial/Organizational Psychology.

Chapter 1: Introduction Why Structural Equation Modeling? The Remainder of This Book Chapter 2: Structural Equation Models: Theory and Development The Process of Structural Equation Modeling Chapter 3: Assessing Model Fit Absolute Fit Comparative Fit Parsimonious Fit Toward a Strategy for Assessing Model Fit Chapter 4: Using MPlus The Data File The Command File Putting It All Together: Some Basic Analyses Chapter 5: Confirmatory Factor Analysis Model Specification Identification Estimation Assessment of Fit Model Modification Sample Results Section Chapter 6: Observed Variable Path Analysis Model Specification Identification Estimation Mediation Using Equality Constraints Multisample Analysis Chapter 7: Latent Variable Path Analysis Model Specification Sample Results Chapter 8: Longitudinal Analysis Measurement Equivalence Across Time Latent Growth Curves Cross-Lagged Models Chapter 9: Multilevel Modeling Multilevel Models in Mplus Conditional Models Random-Slope Models Multilevel Modeling and Mediation

"An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research." -- Kevin J. Grimm, University of California, Davis