基于彩票的早期教育计划评估:建立下一代证据的机遇与挑战

IF 3.5 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Christina Weiland, Rebecca Unterman, Susan Dynarski, Rachel Abenavoli, Howard Bloom, Breno Braga, Anne-Marie Faria, Erica Greenberg, Brian A. Jacob, Jane Arnold Lincove, Karen Manship, Meghan McCormick, Luke Miratrix, Tomás E. Monarrez, Pamela Morris-Perez, Anna Shapiro, Jon Valant, Lindsay Weixler
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引用次数: 0

摘要

以彩票为基础的鉴定策略为产生下一代美国早期教育项目的证据提供了潜力。作者的合作网络由五个在早期教育环境中应用这种设计的研究团队和方法专家组成,他们发现了在下一步研究中需要仔细考虑的六大挑战:(a)可用的基线协变量可能不是很丰富;(b)反事实数据有限;(c)结果数据有限且不一致;(d)由于自然减员而削弱了内部效度;(e)由于谁会竞争超额项目而限制了外部效度;以及(f)通过儿童层面的随机化难以回答地点层面的问题。作者针对这六大挑战提出了潜在的解决方案,并对未来基于抽签的早期教育研究的设计提出了具体建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors’ collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next context: (a) available baseline covariates that may not be very rich; (b) limited data on the counterfactual; (c) limited and inconsistent outcome data; (d) weakened internal validity due to attrition; (e) constrained external validity due to who competes for oversubscribed programs; and (f) difficulties answering site-level questions with child-level randomization. The authors offer potential solutions to these six challenges and concrete recommendations for the design of future lottery-based early education studies.
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来源期刊
Aera Open
Aera Open EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
5.00
自引率
7.10%
发文量
60
审稿时长
15 weeks
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