脱离理论
概念化
心理学
学生参与度
测量不变性
构造(python库)
结构效度
发展心理学
学业成绩
辍学(神经网络)
心理测量学
结构方程建模
数学教育
验证性因素分析
老年学
医学
统计
机器学习
人工智能
计算机科学
程序设计语言
数学
作者
Ming‐Te Wang,Jennifer A. Fredricks,Feifei Ye,Tara Hofkens,Jacqueline Schall Linn
出处
期刊:European Journal of Psychological Assessment
[Hogrefe Verlag]
日期:2017-10-18
卷期号:35 (4): 592-606
被引量:141
标识
DOI:10.1027/1015-5759/a000431
摘要
Abstract. Increasing school engagement is critical for improving academic achievement and reducing dropout rates. In order to increase student engagement and identify those students who are most disengaged from school, we need to conceptualize and measure student engagement appropriately. This study used a mixed method sequential exploratory design to develop and validate a student survey measure of school engagement that reflects a multidimensional conceptualization of engagement. Psychometric tests were conducted with a large racially and socioeconomically diverse sample of 5th–12th graders in the United States ( N = 3,632). Findings demonstrated that a bifactor multidimensional model fit the data appropriately and provided evidence of measurement invariance, construct, and predictive validity. Results provided a psychometrically sound foundation for capturing the behavioral, emotional, cognitive, and social aspects of student engagement and disengagement in school.
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