Analyzing Profiles and Predictors of Students’ Social-Ecological Engagement | Zendy

Michael A. Lawson | Zendy; Katherine E. Masyn | Zendy

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Analyzing Profiles and Predictors of Students’ Social-Ecological Engagement

Author(s) -

Michael A. Lawson,

Katherine E. Masyn

Publication year - 2015

Publication title -

aera open

Language(s) - English

Resource type - Journals

ISSN - 2332-8584

DOI - 10.1177/2332858415615856

Subject(s) - extant taxon , psychology , latent class model , student engagement , community engagement , identity (music) , social ecological model , psychological intervention , class (philosophy) , social psychology , developmental psychology , ecology , mathematics education , statistics , political science , acoustics , biology , physics , mathematics , public relations , evolutionary biology , psychiatry , artificial intelligence , computer science

Using data from the Educational Longitudinal Study (2002), this study employed latent class analysis (LCA) to explore the relationship between students’ engagement-related dispositions and their behavioral engagement in home, school, and community activities. The primary aim was to identify and describe the engagement characteristics of distinct subpopulations of students. Our higher-order LCA models yielded five subpopulation profiles of students’ social-ecological engagement. In contrast to extant participation-identification models, these new profiles suggested that the relationship between students’ behavioral engagement and their school-related identities and dispositions is nonlinear and nonhomogeneous. This major finding recommends comprehensive school–community improvement models as well as nuanced interventions that are tailor-made to fit the engagement needs and identity-related characteristics of each student subpopulation

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