Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos (eBook)

Niels J. J. Blunch, SAGE Publications Ltd (Autoren)

eBook Download: EPUB

2012 | 2., Second Edition
312 Seiten
Sage Publications (Verlag)
978-1-4462-9057-6 (ISBN)

Infos

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

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 9.11.2012
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Schulbuch / Wörterbuch ► Lexikon / Chroniken
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Naturwissenschaften
• Schlagworte: Data Analysis • Factor Analysis • incomplete data • latent curve models • manifest variables • mean structures • Quantitative Statistics • Reliability • research project • Validity
• ISBN-10: 1-4462-9057-3 / 1446290573
• ISBN-13: 978-1-4462-9057-6 / 9781446290576