Journal
LEARNING AND INSTRUCTION
Volume 43, Issue -, Pages 16-26Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.learninstruc.2016.01.008
Keywords
Student engagement; Math and science engagement; Multidimensionality; Multi-informant; Bifactor model
Funding
- National Science Foundation [1503181]
- Division Of Research On Learning
- Direct For Education and Human Resources [1315943] Funding Source: National Science Foundation
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There is an urgent need to develop appropriate instruments to measure student engagement in math and science for the fields of research and practice. The present study developed and validated student- and teacher-report survey measures of student engagement in math and science. The measures are built around a multidimensional perspective of engagement by using a bifactor modeling approach. The sample was recruited from an ethnically and socioeconomically diverse middle and high school student population in the United States. The findings confirmed that student engagement is comprised of multiple related yet distinct dimensions, with evidence to support a bifactor structural model. There was also empirical evidence supporting measurement invariance and predictive validity. The results demonstrate the soundness of the psychometric properties of the Math and Science Engagement Scales. (C) 2016 Elsevier Ltd. All rights reserved.
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