You are here

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
Share

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Additional resources:

October 2015 | 360 pages | SAGE Publications Ltd

This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline.

Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS' excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research.

The book includes:

  • Learning objectives, key concepts and questions for further discussion in each chapter.
  • Helpful diagrams and screenshots to expand on concepts covered in the texts.
  • A wide variety of examples from multiple disciplines and real world contexts.
  • Exercises for each chapter on an accompanying companion website.
  • A detailed glossary.

Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM. 


 
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

Supplements

Click for online resources

Free resources on the companion website:

  • Datasets
  • Exercises to accompany each chapter
  • Diagrams and screenshots from each chapter
  • Selected suggested readings
  • Flashcards

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
Senior Lecturer in Sociology, University of Durham

This is a good book for those students who wish to gain a better understanding of research analysis.

Dr Joseph Vella
Communications , University of Malta
October 20, 2016

Offers a clear introduction for students to complex statistical modelling. It utilises an effective range of examples and works through problems step-by-step

Dr Alia Middleton
Political, Intern'nal & Policy Studies, Surrey University
July 29, 2016

add on to introduction in statistics aimed at specific thesis topics (master level)

Mr Loek Stolwijk
Faculty of Science, University of Amsterdam
March 30, 2016

the author guides the Student through this complex topic

Miss Lisa Paleczek
Educational Science, University of Graz
September 4, 2015

For instructors

Review and Desk copies for this title are available digitally via VitalSource.

Request e-review copy

If you require a print review copy, please call: (800) 818-7243 ext. 6140 or email textsales@sagepub.com.

Select a Purchasing Option

Electronic version
Prices from
$41.00

Paperback
ISBN: 9781473916227
$51.00

Hardcover
ISBN: 9781473916210
$145.00