Identifying Successful STEM Schools

城市研究所(UI)教育研究纵向数据分析中心(CALDER)提出了一项快速提案，以满足国会对成功的STEM学校信息的紧急要求。具体地说，该中心将通过访问美国教育部授予的纵向州数据库，对如何使用当前州数据创建调查进行初步分析，并将查询构成成功的STEM学校的数据。通过使用分层线性建模(HLM)方法，该项目将在保持先前学生成绩不变的情况下，确定STEM领域在学校层面的残余影响。这项工作应该对衡量不同计划的有效性的方法有很大贡献。

The Center for Analysis of Longitudinal Data in Education Research (CALDER) at the Urban Institute (UI) proposes a RAPID proposal to address an urgent Congressional request for information on successful STEM schools. Specifically, the Center, through the access it has to longitudinal state databases from a US Department of Education award, will conduct a preliminary analysis of how to create a survey using current state data and will query the data for what constitutes successful STEM schools. Through the use of hierarchical linear modeling (HLM) methods, the project will identify school-level residual effects of STEM fields, holding prior student achievement constant. This work should contribute substantially to an approach for measuring efficacy across diverse programs.