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Updated: Apr 18, 2026

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
Analyzing profiles, predictors, and consequences of student engagement dispositions
Michael A Lawson1, Katherine E Masyn2
1Department of Human Development, Binghamton University (SUNY), PO Box 6000, Binghamton, NY 13902, USA.
Abstract:
Drawing from a nationally representative sample of 12,760 students attending public high schools in the United States, this study used latent class analysis (LCA) to analyze profiles, predictors, and consequences of student engagement dispositions. A student engagement disposition is an umbrella concept. It encompasses students' identification with school together with their academic competencies and overall educational aspirations. Six subpopulation profiles of engagement dispositions were culled from the data using LCA. These profiles included students who possessed "model student" attributes as well as others whose school experiences reflected ambivalence and disidentification. Where practice and policy are concerned, findings regarding the characteristics and consequences of each profile can be used by researchers, practitioners, and policy makers to facilitate tailored intervention planning as well as more nuanced policy development.
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