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Observing Classroom Engagement in Community College
Author(s) -
Stacey Alicea,
Carola SuárezOrozco,
Sukhmani Singh,
Tasha Darbes,
Elvira J. Abrica
Publication year - 2016
Publication title -
educational evaluation and policy analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.636
H-Index - 78
eISSN - 1935-1062
pISSN - 0162-3737
DOI - 10.3102/0162373716675726
Subject(s) - psychology , confirmatory factor analysis , structural equation modeling , student engagement , descriptive statistics , mathematics education , snapshot (computer storage) , measure (data warehouse) , computer science , statistics , mathematics , database , machine learning , operating system
Despite decades of research indicating classrooms shape student engagement, learning, and development, there is a dearth of empirically grounded research focusing specifically on observed classroom engagement as a predictor of student outcomes in community colleges. This article describes the development of a qualitatively grounded, quantitative classroom-level engagement measurement protocol designed for this purpose. We provide evidence for the measure’s validity and reliability via confirmatory factor analyses and descriptive analyses that offer a snapshot of the information this measure can generate. Furthermore, we examine a two-level structural equation regression model that uses student survey data from students nested in observed classrooms. We then review our results in light of the relevance this measure has for researchers and educators in community colleges.

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