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    Associations between the Classroom Learning Environment and Student Engagement in Learning 2: A Structural Equation Modelling Approach

    190480_75581_72716.pdf (1.508Mb)
    Access Status
    Open access
    Authors
    Harbaugh, A.
    Cavanagh, Robert
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Harbaugh, Allen and Cavanagh, Robert. 2012. Associations between the Classroom Learning Environment and Student Engagement in Learning 2: A Structural Equation Modelling Approach, in Knight, J. (ed), The Joint Australian Association for Research in Education and Asia-Pacific Educational Research Association Conference (AARE-APERA), Dec 2-6 2012. Sydney, Australia: Australian Association for Research in Education (AARE).
    Source Title
    AARE 2012 Conference Proceedings & Program
    Source Conference
    AARE-APERA 2012 The Joint Australian Association for Research in Education and Asia-Pacific Educational Research Association Conference
    Additional URLs
    http://www.aare.edu.au/data/publications/2012/Harbaugh12.pdf
    ISSN
    1324-9320
    URI
    http://hdl.handle.net/20.500.11937/27877
    Collection
    • Curtin Research Publications
    Abstract

    This report is about the second of two phases in an investigation into associations between student engagement in classroom learning and the classroom-learning environment. Whereas the first phase utilized Rasch modelling (Cavanagh, 2012), this report uses latent variable modelling to explore the data. The investigations in both phases of this study employed a novel model of engagement in classroom learning based on flow theory and bio-ecological frameworks. An 85-item survey item was used to collect data from 1760 secondary-school students. Comparable to the findings of the first phase, there was strong evidence for the psychometric properties of the instrument measuring the latent constructs of student engagement in classroom learning and the characteristics of the classroomlearning environment. Furthermore, classroom-learning environment characteristics had direct effects on students’ self-esteem and had direct and indirect effects on students’ expectations of the classroom environment. Classroom characteristics directly influencing students’ self-esteem included the educational values, learning outcomes, classroom learning and parental support. Classroom characteristics directly influencing students’ expectations included the educational values, learning outcomes, classroom learning, support from fellow students and expectations of the teacher. Among other benefits, the two phases of this study enable comparison of contemporary analytic approaches: Rasch and Structural Equation Modelling.

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