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Application of Structural Equation Modeling in Educational Research and Practice

  • Book
  • © 2013

Overview

Editors:
  1. Myint Swe Khine

    1. Science and Mathematics Education Centre, Curtin University, Perth, Australia

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  • This book brings together theoretical and practical approaches of SEM in a variety of settings and made significant scientific and scholarly contributions to educational research.

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-vi
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  2. Theoretical Foundations

    1. Front Matter

      Pages 1-1
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    2. Applying Structural Equation Modeling (SEM) in Educational Research

      • Timothy Teo, Liang Ting Tsai, Chih-Chien Yang
      Pages 3-21

    3. Structural Equation Modeling in Educational Research

      • Yo In’nami, Rie Koizumi
      Pages 23-51

  3. Structural Equation Modeling in Learning Environment Research

    1. Front Matter

      Pages 53-53
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    2. Teachers’ Perceptions of the School as a Learning Environment for Practice-Based Research

      • Marjan Vrijnsen-de Corte, Perry den Brok, Theo Bergen, Marcel Kamp
      Pages 55-74

    3. Development and Validation of an English Classroom Learning Environment Inventory and its Application in China

      • Liyan Liu, Barry J. Fraser
      Pages 75-89

    4. The Effects of Psychosocial Learning Environment on Students’ Attitudes Towards Mathematics

      • Ernest Afari
      Pages 91-114

    5. Students’ Learning Environment, Motivation and Self-Regulation

      • Sunitadevi Velayutham, Jill Aldridge, Ernest Afari
      Pages 115-133

    6. In/Out-of-School Learning Environment and SEM Analyses Usage Attitude Towards School

      • Hasan Şeker
      Pages 135-167

    7. Development of Generic Capabilities in Teaching and Learning Environments at Associate Degree Level

      • Wincy W. S. Lee, Doris Y. P. Leung, Kenneth C. H. Lo
      Pages 169-184

  4. Structural Equation Modeling in Educational Practice

    1. Front Matter

      Pages 185-185
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    2. Latent Variable Modeling in Educational Psychology

      • Gregory Arief D. Liem, Andrew J. Martin
      Pages 187-216

    3. Linking Teaching and Learning Environment Variables to Higher Order Thinking Skills

      • John K. Rugutt
      Pages 217-239

    4. Influencing Group Decisions by Gaining Respect of Group Members in E-Learning and Blended Learning Environments

      • Binod Sundararajan, Lorn Sheehan, Malavika Sundararajan, Jill Manderson
      Pages 241-255

    5. Investigating Factorial Invariance of Teacher Climate Factors Across School Organizational Levels

      • Christine DiStefano, Diana Mîndrilă, Diane Monrad
      Pages 257-275

  5. Conclusion

    1. Front Matter

      Pages 277-277
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    2. Structural Equation Modeling Approaches in Educational Research and Practice

      • Myint Swe Khine
      Pages 279-283

  6. Back Matter

    Pages 285-291
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Keywords

About this book

Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.

Editors and Affiliations

  • Science and Mathematics Education Centre, Curtin University, Perth, Australia

    Myint Swe Khine

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