Introduction to Structural Equation Modeling Using Ibm Spss - Statistics and Eq

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.

List of contents

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

About the author

Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark.

Summary

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.

Product details

• Authors: Niels J Blunch, Niels J. Blunch, Niels J. J. Blunch, Blunch Niels J.
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 31.10.2015
• EAN: 9781473916227
• ISBN: 978-1-4739-1622-7
• No. of pages: 360
• Subjects: Humanities, art, music > Education > General, dictionaries; Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Sociology > Sociological theories; REFERENCE / Research, Research methods: general, SEM;data;models;research;variables;regression;analysis