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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

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en Limba Engleză Paperback – 09 Nov 2012
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 how SEM is applied in real research contexts.
  • Exercises for each chapter on an accompanying companion website.
  • A new glossary.
 
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.
Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
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Specificații

ISBN-13: 9781446249000
ISBN-10: 144624900X
Pagini: 312
Ilustrații: illustrations
Dimensiuni: 170 x 242 x 17 mm
Greutate: 0.53 kg
Ediția: Second Edition
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării: London, United Kingdom

Recenzii

This is a cutting-edge update of a comprehensive and highly successful textbook. I would recommend it without hesitation to anyone who wants to get to grips with structural equasion modeling in AMOS.
K. V. Petrides
London Psychometric Laboratory, University College London

The most accessible book on structural equation modeling just became even more accessible. Using realistic datasets and generous insight, this text effectively covers both theoretical understanding and, importantly, successful application of SEM. Blunch is the must-have resource for researchers, advanced undergraduates and graduate students.
Julie Davies
School of Psychology, Bangor University


Cuprins

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