期刊论文详细信息
AERA Open
Analyzing Profiles and Predictors of Students’ Social-Ecological Engagement:
Michael A. Lawson1 
关键词: student engagement;    school engagement;    student motivation;    student engagement profiles;    student engagement dispositions;    extra-curricular activities;    latent class analysis;   
DOI  :  10.1177/2332858415615856
学科分类:发展心理学和教育心理学
来源: Sage Journals
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【 摘 要 】

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.

【 授权许可】

CC BY-NC   

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