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How to Create and Use State-Level Policy Data Sets in Education Research

机译:如何在教育研究中创建和使用状态级策略数据集

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摘要

As state governments seek to improve the performance of institutions of K–12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy instead of diving into details such as the dosage or percentage of funding tied to a policy or the specific groups being targeted by the implementation of the policy. The aim of this article is to provide guidance for education policy researchers in constructing and analyzing detailed data that can inform the design of state-level policies, using state performance-based funding policies in public higher education as an example. We also show how to conduct difference-in-differences analyses with continuous treatment variables in order to take advantage of more-nuanced data and better understand the context in which policies are effective (or ineffective).
机译:随着州政府寻求提高K-12和高等教育机构的绩效,他们经常采用具有类似姓名,但各州特色不同的教育政策以及各国内随着时间的变化。然而,量化分析通常审查教育政策的缺席或存在,而不是潜入细节,例如与政策实施的政策或针对政策的具体群体相关的资金的剂量或百分比。本文的目的是为教育政策研究人员提供教育政策研究人员的指导,以便在公开高等教育中使用国家绩效基于级别的资助政策来提供国家级政策的详细数据。我们还展示了如何进行常见差异与持续处理变量进行差异分析,以便利用更多细微的数据,更好地了解政策有效的上下文(或无效)。

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