Excellence in Research: A Comparison of Educational Outcomes at Institutions of Higher Education

卓越的研究：高等教育机构教育成果的比较

• 批准号: 1832064
• 负责人: Omari Swinton
• 金额: $ 50万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832064&HistoricalAwards=false
• 关键词: Excellence; Research; Comparison; Educational; Outcomes

A significant proportion of Science, Technology, Engineering, and Mathematics (STEM) baccalaureates earned by Black/African-American students in the US is awarded by Historically Black Colleges and Universities (HBCUs). This proposed research will combine several administrative data sets and a new methodology to estimate the effects of HBCU attendance on graduation rates in STEM subjects, graduation rates generally, and the probability of attending graduate school after the baccalaureate, relative to attending a non-HBCU institution. The investigators will also study why some students succeed better in an HBCU compared to a non-HBCU institutions. This is an important contribution to economic science and labor market policy as the US tries to broaden and increase its STEM workforce. This proposal will merge a series of large, detailed, administrative data sets and use a new methodology to estimate the causal effects of HBCU attendance on a series of outcomes. Specifically, it will investigate three interrelated issues: the causal effect of attending and HBCU on (i) the probability of graduating with a STEM degree, (ii) graduation rates, and (iii) attending graduate school after graduating with a STEM baccalaureate degree. The PIs will adopt a recently developed methodology by Hoxby and model HBCU attendance as part of Black students' human capital decisions. Instead of the traditional methodology based on propensity score matching in these studies, the proposed study will use the new and more robust methodology that controls for selection and heterogeneity to estimate these student outcomes. The work is based on a matched data set from the College Board and National Student Clearinghouse (NSC). This merged data set and methodology, not used before, will allow the researchers to control for heterogeneity of HBCUs in the study. The results of this research will advance knowledge on the contribution of HBCUs to human capital formation in the US.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

美国黑人/非洲裔美国学生获得的科学，技术，工程和数学（STEM）学士学位的很大一部分是由历史上的黑人学院和大学（HBCU）颁发的。 这项拟议的研究将结合联合收割机几个行政数据集和一种新的方法来估计HBCU出席对STEM科目毕业率的影响，一般毕业率，以及学士学位后参加研究生院的概率，相对于参加非HBCU机构。 调查人员还将研究为什么有些学生在HBCU比非HBCU机构更成功。 随着美国试图扩大和增加其STEM劳动力，这对经济科学和劳动力市场政策做出了重要贡献。 该提案将合并一系列大型、详细的行政数据集，并使用一种新的方法来估计HBCU出席对一系列结果的因果影响。具体来说，它将调查三个相互关联的问题：参加和HBCU对（一）与STEM学位毕业的概率，（二）毕业率，（三）与STEM学士学位毕业后参加研究生院的因果关系。 PI将采用Hoxby最近开发的方法，并将HBCU出勤率作为黑人学生人力资本决策的一部分。 而不是传统的方法的基础上倾向分数匹配在这些研究中，拟议的研究将使用新的和更强大的方法，控制选择和异质性，以估计这些学生的成果。 这项工作是基于大学理事会和国家学生信息交换所（NSC）的匹配数据集。 这种合并的数据集和方法，以前没有使用过，将使研究人员能够控制研究中HBCU的异质性。 这项研究的结果将促进HBCUs对美国人力资本形成的贡献的认识。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。