1.

Record Nr.

UNINA9910438226303321

Titolo

Application of structural equation modeling in educational research and practice / / edited by Myint Swe Khine, Science and Mathematics Education Centre, Curtin University, Perth, Australia

Pubbl/distr/stampa

Rotterdam : , : Sense Publishers, , [2013]

©2013

ISBN

94-6209-332-6

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (284 p.)

Collana

Contemporary Approaches to Research in Learning Innovations

Altri autori (Persone)

KhineMyint Swe

Disciplina

284

Soggetti

Structural equation modeling

Education - Research - Methodology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

part I. Theoretical foundations -- part II. Structural equation modeling in learning environment research -- part III. Structural equation modeling in educational practice -- part Ivolume Conclusion.

Sommario/riassunto

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.