Early Warning for Whom? Regression Discontinuity Evidence From the Effect of Early Warning System on Student Absence

Yusuf Canbolat
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Abstract

Many schools across the United States use the Early Warning System (EWS) to identify chronically absent students on time and intervene. The prediction power of the EWS is well examined but more evidence is needed about their effectiveness at reducing student absence. This study examines the effect of EWS on student absence in a large urban school district using a multiple-cutoff regression discontinuity design. Findings indicate that EWS reduces chronic absence among socioeconomically advantaged students. However, it has no significant effect on chronic absence among socioeconomically disadvantaged students. Furthermore, EWS has no significant effect on moderate absence. These results suggest that schools should consider social and institutional barriers to improving attendance, especially among socioeconomically disadvantaged students.
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为谁预警?早期预警系统对学生旷课影响的回归不连续证据
美国许多学校都使用早期预警系统(EWS)来及时发现长期旷课的学生并进行干预。EWS 的预测能力已得到充分检验,但还需要更多证据来证明其在减少学生缺课方面的有效性。本研究采用多重截断回归不连续设计,考察了 EWS 对一个大型城市学区学生缺课情况的影响。研究结果表明,预警系统减少了社会经济条件较好的学生的长期缺课现象。但是,它对社会经济条件较差的学生的长期缺课情况没有明显影响。此外,预警系统对中度缺勤也没有明显影响。这些结果表明,学校应考虑社会和制度障碍,以提高出勤率,尤其是社会经济条件较差的学生的出勤率。
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