州毕业考试和毕业率:分层SLX建模方法

IF 0.6 Q4 ECONOMICS Review of Regional Studies Pub Date : 2020-04-20 DOI:10.52324/001C.12636
Joshua C. Hall, D. Lacombe, S. B. Pokharel
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引用次数: 0

摘要

有关高中毕业考试的文献发现,这些高风险考试对高中毕业率既有积极影响,也有消极影响。到目前为止,文献没有考虑到学区在州教育系统中的嵌入性质。我们采用贝叶斯分层SLX模型来解释美国教育数据的分层性质。我们的方法还允许我们考虑影响地区和州毕业率的空间溢出效应。使用2015年美国45个州和8194个学区的学区和州级数据,我们通常没有发现州毕业考试对高中毕业率的统计显着影响。然而,随机效应系数表明,在少数几个州,高中毕业考试与毕业率呈负相关。
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State Exit Exams and Graduation Rates: A Hierarchical SLX Modelling Approach
The literature on high school exit exams has found both positive and negative effects of these high stake exams on high school graduation rates. To this point, the literature has not taken into account the embedded nature of school districts within state education systems. We employ a Bayesian Hierarchical SLX model to account for the hierarchical nature of education data in the United States. Our approach also allows us to account for spatial spillovers that influence graduation rates across districts and states. Using school district and state-level data for 45 states and 8194 school districts in the U.S. in 2015, we generally find no statistically significant effect of state exit exams on high school graduation rates. Random effect coefficients, however, point towards high school exit exams being negatively associated with graduation rates in a handful of states.
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CiteScore
1.20
自引率
22.20%
发文量
13
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