Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark.
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Description
Preface PART 1: PREPARING YOURSELF AND YOUR DATA Chapter 1: Introduction Chapter 2: Measuring Your Variables: Reliability and Validity Chapter 3: Factor Analysis PART 2: THE THREE BASIC MODELS Chapter 4: Structural Equation Modeling with EQS Chapter 5: Data-entering and programming in EQS Chapter 6: Models with Only Manifest Variables Chapter 7: The Measurement Model in SEM: Confirmatory Factor Analysis Chapter 8: The General Model PART 3: ADVANCED MODELS AND TECHNIQUES Chapter 9: Mean Structures and Multi-group Analysis Chapter 10: Incomplete and Non-normal Data Chapter 11: Latent Curve Models Appendix A: Statistical Prerequisites Appendix B: Glossary Appendix C: EQS Statements
This textbook combines accessible explanations of key concepts and methods used in SEM with detailed demonstrations of how to use EQS. It covers both basic as well as advanced topics, all illustrated with examples relevant to social science subjects. An excellent choice for anybody new to SEM and who would like to learn how to use EQS. -- Keming Yang