Application of Structural Equation Modeling in Educational Research and Practice

  • Myint Swe Khine

Table of contents

  1. Front Matter
    Pages i-vi
  2. Theoretical Foundations

    1. Front Matter
      Pages 1-1
    2. Timothy Teo, Liang Ting Tsai, Chih-Chien Yang
      Pages 3-21
    3. Yo In’nami, Rie Koizumi
      Pages 23-51
  3. Structural Equation Modeling in Learning Environment Research

  4. Structural Equation Modeling in Educational Practice

    1. Front Matter
      Pages 185-185
    2. Gregory Arief D. Liem, Andrew J. Martin
      Pages 187-216
    3. Binod Sundararajan, Lorn Sheehan, Malavika Sundararajan, Jill Manderson
      Pages 241-255
    4. Christine DiStefano, Diana Mîndrilă, Diane Monrad
      Pages 257-275
  5. Conclusion

    1. Front Matter
      Pages 277-277
  6. Back Matter
    Pages 285-291

About this book

Introduction

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.

Keywords

Educational Research Learning environment Structural Equation Modeling (SEM)

Editors and affiliations

  • Myint Swe Khine
    • 1
  1. 1.Science and Mathematics Education CentreCurtin UniversityPerthAustralia

Bibliographic information