Introduction to Structural Equation Modeling Using IBM SPSS Statistics and AMOS
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This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field. Contents About the author Preface to the first edition Preface to the second edition Part 1: Preparing Yourself and Your Data 1 Introduction 2 Measuring Your Variables: Reliability and Validity 3 Factor Analysis Part 2: The Three Basic Models 4 Structural Equation Modeling with AMOS 5 Models with Only Manifest Variables 6 The Measurement Model in SEM: Confirmatory Factor Analysis 7 The General Model Part 3: Advanced Models and Techniques 8 Mean Structures and Multi-group Analysis 9 Incomplete and Non-normal Data 10 Latent Curve Models Appendices Appendix A: Statistical Prerequisites Appendix B: Glossary Appendix C: AMOS Statements Author Index Subject Index
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