Description

Book Synopsis
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

Trade Review
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



Table of Contents
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

Introduction to Structural Equation Modeling

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    A Paperback / softback by Niels J. Blunch

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      View other formats and editions of Introduction to Structural Equation Modeling by Niels J. Blunch

      Publisher: Sage Publications Ltd
      Publication Date: Publication Date: 09/11/2012
      ISBN13: 9781446249000, 978-1446249000
      ISBN10: 144624900X

      Description

      Book Synopsis
      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

      Trade Review
      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



      Table of Contents
      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

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