Application of structural equation modeling in educational research and practice

Application of structural equation modeling in educational research and practice / edited by Myint Swe Khine.

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 co...

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Bibliographic Details
Other Authors: Khine, Myint Swe (Editor)
Format: eBook
Language:English
Published: Rotterdam, The Netherlands : Sense Publishers, 2013.
Series:Contemporary approaches to research in learning innovations ; 7.
Subjects:
Education > Research.
Structural equation modeling.
EDUCATION > Essays.
EDUCATION > Organizations & Institutions.
EDUCATION > Reference.
Droit.
Sciences sociales.
Sciences humaines.
Education > Research
Structural equation modeling
Online Access:Click for online access
Table of Contents:
  • Part I: Theoretical Foundations. Applying Structural Equation Modeling (SEM) in Educational
  • Research: An Introduction / Timothy Teo, Liang Ting Tsai and Chih-Chien Yang
  • Structural Equation Modeling in Educational Research: A Primer / Yo In'nami and Rie Koizumi
  • Part II: Structural Equation Modeling in Learning Environment Research. Teachers' Perceptions of the School as a Learning Environment for Practice-based Research: Testing a Model That Describes Relations between Input, Process and Outcome Variables / Marjan Vrijnsen-de Corte, Perry den Brok, Theo Bergen and Marcel Kamp
  • Development of an English Classroom Environment Inventory and Its Application in China / Liyan Liu and Barry J. Fraser
  • The Effects of Psychosocial Learning Environment on Students' Attitudes towards Mathematics / Ernest Afari
  • Investigating Relationships between the Psychosocial Learning Environment, Student Motivation and Self-Regulation / Sunitadevi Velayutham, Jill Aldridge and Ernest Afari
  • In/Out-of-School Learning Environment and SEM Analyses on
  • Attitude towards School / Hasan Şeker
  • Development of Generic Capabilities in Teaching and Learning Environments at the Associate Degree Level / Wincy W.S. Lee, Doris Y.P. Leung and Kenneth C.H. Lo
  • Part III: Structural Equation Modeling in Educational Practice. Latent Variable Modeling in Educational Psychology: Insights from a Motivation and Engagement Research Program / Gregory Arief D. Liem and Andrew J. Martin
  • Linking Teaching and Learning Environment Variables to Higher Order Thinking Skills: A Structural Equation Modeling Approach / John K. Rugutt
  • Influencing Group Decisions by Gaining Respect of Group Members in E-Learning and Blended Learning Environments: A Path Model Analysis / Binod Sundararajan, Lorn Sheehan, Malavika Sundararajan and Jill Manderson
  • Investigating Factorial Invariance of Teacher Climate Factors across School Organizational Levels / Christine DiStefano, Diana Mîndrilă and Diane M. Monrad
  • Part IV: Conclusion. Structural Equation Modeling Approaches in Educational Research and Practice / Myint Swe Khine.

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