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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos - Niels J. Blunch

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

By: Niels J. Blunch

Paperback | 9 November 2012 | Edition Number 2

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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

Industry Reviews
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

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