Blunch, Niles J. <br/><br/>
Introduction to structural equation modeling using IBM SPSS statistics and EQS 
Niles J. Blunch 
 - Los Angeles :  SAGE,  c2016. 
 - viii, 346 p. :  ill. ;  25 cm. 
<br/><br/>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. 
<br/><br/> Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project. 
<br/><br/><label>ISBN: </label>9781473916227 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Structural equation modeling -- Data processing<br/>Data processing
<br/><br/><label>Dewey Class. No.: </label>