G2TT
来源类型Research Report
规范类型报告
Identifying High-Performing Schools for Historically Underserved Students
其他题名Exploring a Multistate Model
Theresa Anderson; Erica Blom; Constance A. Lindsay; Semhar Gebrekristos; Macy Rainer; Carolyn Vilter
发表日期2020-01-30
出版年2020
语种英语
概述This report describes the results of the model refining phase of the Robust and Equitable Measures to Inspire Quality Schools (REMIQS) project. The project seeks to inspire high schools to generate positive long-term outcomes for historically underserved students. In this phase, we develop a multistate model to identify the best-performing schools in Kentucky, Massachusetts, and Virginia. We find that a
摘要

This report describes the results of the model refining phase of the Robust and Equitable Measures to Inspire Quality Schools (REMIQS) project. The project seeks to inspire high schools to generate positive long-term outcomes for historically underserved students. In this phase, we develop a multistate model to identify the best-performing schools in Kentucky, Massachusetts, and Virginia. We find that a multistate model is possible but is limited by the comparability of data and by fundamental differences in state contexts; schools that “add value” based on traditional test score measures are not necessarily equally good at enrolling students in college; and, generally, high schools that excel along one success metric may not excel along all or even several metrics.

A separate technical appendix provides details about the model described in this report.

主题Education and Training
URLhttps://www.urban.org/research/publication/identifying-high-performing-schools-historically-underserved-students
来源智库Urban Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/480886
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GB/T 7714
Theresa Anderson,Erica Blom,Constance A. Lindsay,et al. Identifying High-Performing Schools for Historically Underserved Students. 2020.
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