{"title":"Reasonable Expectations: A Reply to Elmendorf and Shanske 2018","authors":"E. Hutt, Morgan S. Polikoff","doi":"10.2139/ssrn.3185304","DOIUrl":null,"url":null,"abstract":"As educational researchers, we agree wholeheartedly with the thrust of the argument laid out by Elmendorf and Shanske: good data on public education in America is too hard to come by, and access to more and better data can help us answer questions that are central to improving education and securing the educational rights of all children. That said, as education researchers, we also recognize the very real limits on the kind of answers that school data — and educational research — can provide. In this reply, we elaborate on this view and try to articulate what we see as the key contributions and remaining challenges of Elmendorf and Shanske’s proposal. Part I highlights the historical importance and intractability of the problem Elmendorf and Shanske hope to solve. Part II considers the current state of the “causal revolution” in education research in order to highlight the kind of progress that can be made and the issues likely to remain out of reach despite the considerable data, methodological, and computational advances of the last decade. Finally, moving beyond an abstract consideration of the potential of better data, Part III considers Elmendorf and Shanske’s proposal in the context of a case — Williams v California — that likewise sought to secure educational rights by requiring the state to produce data on the availability of school resources.","PeriodicalId":416511,"journal":{"name":"EduRN: Legal Scholarship Education (LSN) (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EduRN: Legal Scholarship Education (LSN) (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3185304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
As educational researchers, we agree wholeheartedly with the thrust of the argument laid out by Elmendorf and Shanske: good data on public education in America is too hard to come by, and access to more and better data can help us answer questions that are central to improving education and securing the educational rights of all children. That said, as education researchers, we also recognize the very real limits on the kind of answers that school data — and educational research — can provide. In this reply, we elaborate on this view and try to articulate what we see as the key contributions and remaining challenges of Elmendorf and Shanske’s proposal. Part I highlights the historical importance and intractability of the problem Elmendorf and Shanske hope to solve. Part II considers the current state of the “causal revolution” in education research in order to highlight the kind of progress that can be made and the issues likely to remain out of reach despite the considerable data, methodological, and computational advances of the last decade. Finally, moving beyond an abstract consideration of the potential of better data, Part III considers Elmendorf and Shanske’s proposal in the context of a case — Williams v California — that likewise sought to secure educational rights by requiring the state to produce data on the availability of school resources.
作为教育研究人员,我们完全同意埃尔门多夫和尚斯克提出的论点的主旨:美国公共教育的良好数据很难获得,获得更多更好的数据可以帮助我们回答对改善教育和确保所有儿童受教育权利至关重要的问题。也就是说,作为教育研究人员,我们也认识到学校数据和教育研究所能提供的答案的局限性。在这篇回复中,我们将详细阐述这一观点,并试图阐明我们认为Elmendorf和Shanske的建议的关键贡献和仍然存在的挑战。第一部分强调了Elmendorf和Shanske希望解决的问题的历史重要性和棘手性。第二部分考虑了教育研究中“因果革命”的现状,以突出可以取得的进展,以及尽管过去十年中有大量数据、方法和计算方面的进步,但可能仍然遥不可及的问题。最后,超越了对更好数据潜力的抽象考虑,第三部分考虑了Elmendorf和Shanske在Williams v California一案背景下的建议,该案件同样寻求通过要求州政府提供有关学校资源可用性的数据来确保教育权利。