Examining an Executive Function Rating Scale as a Predictor of Achievement in Children at Risk for Behavior Problems
Examining an Executive Function Rating Scale as a Predictor of Achievement in Children at Risk for Behavior Problems
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DOI：
10.1037/spq0000012
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发表时间：
2012-12-01
影响因子：
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通讯作者：
Sullivan, Amanda L.
中科院分区：
文献类型：
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作者：
Sadeh, Shanna S.;Burns, Matthew K.;Sullivan, Amanda L.
有证据表明，执行功能（EF）可能是一个有效的和可塑性的预测儿童的学业成绩。如果研究人员开发出不仅具有生态有效性和结构有效性，而且有效和负担得起的EF措施，学校就可以使用这种预测能力。为此，Garcia-Barrera及其同事（2011）根据儿童-教师报告行为评估系统（Reynolds & Kamphaus，1992）中的项目开发了一个行为评级量表，以筛查儿童EF的缺陷。重要的是要知道这个措施如何拟合和预测被确定为有行为障碍风险的幼儿的数据，因为这一人群往往是预防和干预工作的重点。本研究采用验证性因素分析，探讨如何以及EF筛选器的因素结构适合数据，从220名有发展为行为障碍的风险。EF与数学和阅读成绩之间的关系也进行了研究。验证性因素分析结果表明，足够的模型数据拟合，但多元回归模型产生微不足道的影响大小，表明EF分数没有预测以及幼儿园或一年级的成绩时，控制性别和智力分数。讨论了该研究的局限性和未来需要对EF测量的收敛性进行研究。
Evidence suggests that executive function (EF) may be a potent and malleable predictor of academic achievement in children. Schools may be able to use this predictive power if researchers develop EF measures that not only have ecological and construct validity, but also are also efficient and affordable. To this end, Garcia-Barrera and colleagues (2011) developed a behavior rating scale from items on Behavior Assessment System for Children-Teacher Report (Reynolds & Kamphaus, 1992) to screen children for deficits in EF. It is important to know how well this measure fits and predicts data from young children identified as at risk for behavior disorders because this population is often the focus of prevention and intervention efforts. The present study used confirmatory factor analysis to investigate how well the factor structure of the EF screener fit data from 220 kindergartners at risk for developing behavior disorders. The relationships between EF and academic achievement in math and reading were also examined. The confirmatory factor analysis results indicated adequate model-data fit, but the multiple regression models yielded trivial effect sizes, indicating EF scores did not predict well either kindergarten or first-grade achievement scores when controlling for gender and intelligence scores. The study's limitations and future research needed on the convergence of EF measurements were discussed.