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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Second Edition
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April 2013 | 312 pages | SAGE Publications Ltd

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.

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
  • Real life examples from a variety of disciplines to show hoe SEM is applied in real research contexts
  • Exercises for each chapter on an accompanying companion website
  • A new glossary at the end of book

Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline.


 
PART ONE: PREPARING YOURSELF AND YOUR DATA
 
Introduction
 
Measuring Your Variables: Reliability and Validity
 
Factor Analysis
 
PART TWO: THE THREE BASIC MODELS
 
Structural Equation Modeling with AMOS
 
Models with Only Manifest Variables
 
The Measurement Model in SEM: Confirmatory Factor Analysis
 
The General Model
 
PART THREE: ADVANCED MODELS AND TECHNIQUES
 
Mean Structures and Multi-Group Analysis
 
Incomplete and Non-Normal Data
 
Latent Curve Models

Excellent book - easy to follow considering the subject area and for those students who want to learn more about SEM then this is a good starting point.

Dr Gareth Norris
Department of Law, Aberystwyth University
February 4, 2013
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Sample Materials & Chapters

Chapter 1