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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

I really liked the book as an introduction to SEM for my own work (postgraduate). However, students reported that it was hard to read since advanced knowledge of statistics is assumed.

Mr Julia Zuber
Paedagogik und paedagogische Psychologie , Johannes Kepler University of Linz
March 16, 2015

A well considered work that is hugely valuable for postgraduate students undertaking SEM.

Dr Graham Du Plessis
Department of Psychology, Rand Afrikaans University
January 12, 2015

I cannot recommend this book to my students because it is developed from a very advance point of view for them. I am afraid that maybe they are not able to follow the explanations right now. Nonetheless, I think that it should be a very useful text for their thesis, so I will highly recommend them to keep the reference for their future. Meanwhile, they need to improve their basic data analysis skills with some other handbooks.

Dr Carmen Viejo
Phychology, UCO - University of Cordoba
October 20, 2014

Easy to follow. Well explained.

Dr Ramon Montalban
IO Psychology, Carlos Albizu University
August 12, 2014

This book is a wonderful practical compendium.

Professor Hélder Sousa
Mathematics, Universidade de Trás-os-Montes e Alto Douro (UTAD)
May 11, 2014

This book offers a sound introduction to structural equation modelling and I recommend it to students working with this methodology in their dissertations.

Dr Graham Du Plessis
Department of Psychology, University of Johannesburg
April 15, 2014

This is an excellent book with comprehensive content that help the readers to who really want to learn Structural Equation Modelling in AMOS. I recommend it to purchase and using it as a reference, because worth buying it.

Shahrokh Nikou
Åbo Akademi Univeristy

Dr Shahrokh Nikou
Department of Information Technologies, Abo Akademi University
March 25, 2014

Although I've said this will be a supplemental text I will strongly recommend it to any of our trainees who are thinking about or planning to use structural equation modelling. It is the most readable introductory book on the topic I've found so far.

Ms Linda Morison
Department of Psychology, Surrey University
February 24, 2014

Advanced for students level

Professor Erhabor Idemudia
Psychology Department, North-West University (MC), PB X2046, Mmabatho, 2735, South africa
February 11, 2014

Great book recommended for students who intend to analyse multiple variables using quantitative techniques.

Dr Windfred Mfuh
Institute of Applied Entrepreneurship, Coventry University
January 31, 2014

Preview this book

Sample Materials & Chapters

Chapter 1


For instructors

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