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<p>Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS data from the past 10&#xa0;years to see if it is effectively used in interventions whose outcomes demonstrate a linkage back to the data, this case study addresses this data use (the first step in the logic model of intervention).</p>

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The tie of data to intervention: a case study of the Montana early warning system

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月17日

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  • Robin Clausen

摘要

Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS data from the past 10 years to see if it is effectively used in interventions whose outcomes demonstrate a linkage back to the data, this case study addresses this data use (the first step in the logic model of intervention).