在普遍的社会情绪和行为健康查中增量预测有效性和公平性
1Attallah College of Educational Studies, Chapman University.
School psychology (Washington, D.C.)
|October 30, 2025
概括
社会,学术和情绪行为风险选器 (SAEBRS) 确定了有较低数学成绩风险的学生. 然而,选器并没有预测阅读结果,也没有显示跨人口群体不成比例的识别.
科学领域:
- 教育心理学教育心理学
- 儿童心理学 儿童心理学
- 行为健康 行为健康
背景情况:
- 对社会情绪和行为健康的普遍查对于全面的支持系统至关重要.
- 社会,学术和情绪行为风险选器 (SAEBRS) 是一个用于此目的的工具.
- 评估其预测有效性和潜在的不成比例的识别是必不可少的.
研究的目的:
- 评估社会,学术和情绪行为风险选器 (SAEBRS) 预测春季学术成果的能力.
- 调查SAEBRS对风险学生的识别是否在人口群体之间不成比例.
- 了解SAEBRS在小学环境中的增量预测有效性.
主要方法:
- 从单一小学收集的数据.
- 混合效应模型用于解释学生在教师内部的嵌套.
- 与春季学业成绩和人口因素相关的SAEBRS风险状况分析.
主要成果:
- 赛伯斯风险状况没有显著预测春季读数得分.
- 在SAEBRS上的风险状态预测春季数学分数较低,控制共变量.
- 只有特殊教育状况显著预测了SAEBRS风险状况,而不是种族/种族或生物性别.
结论:
- SAEBRS证明了数学结果的预测有效性,但不是阅读结果.
- 选器没有显示出基于种族/种族或性别的不成比例识别的证据.
- 特殊教育状态是通过SAEBRS识别风险的重要预测因素.
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