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Child bodyweight, cognitive abilities, and well-being: evidence from West Bank schools 儿童体重、认知能力和幸福感:来自约旦河西岸学校的证据
IF 1.2 Q3 Social Sciences Pub Date : 2023-05-11 DOI: 10.1080/09645292.2023.2211747
Sameh Hallaq
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引用次数: 0
Impact of education on inequality across the unconditional wage distribution in Cameroon 教育对喀麦隆无条件工资分配不平等的影响
IF 1.2 Q3 Social Sciences Pub Date : 2023-05-08 DOI: 10.1080/09645292.2023.2208783
Francis Menjo Baye, E. L. Wirba, E. Tingum
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引用次数: 1
Identifying false positives when targeting students at risk of dropping out 针对有辍学风险的学生识别假阳性
IF 1.2 Q3 Social Sciences Pub Date : 2023-05-04 DOI: 10.1080/09645292.2022.2067131
Irene Eegdeman, I. Cornelisz, M. Meeter, C. van Klaveren
ABSTRACT Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for dropout prevention explicit. Data of a Dutch vocational education institute is used to show how out-of-sample machine learning predictions can be used to formulate invitation rules in a way that targets students at risk more effectively, thereby facilitating early detection for effective dropout prevention.
摘要针对有辍学风险的学生的低效率可能解释了为什么减少辍学的努力往往没有效果或效果好坏参半。在这项研究中,我们提出了一种新方法,该方法使用一系列机器学习算法来有效识别面临风险的学生,并明确了针对学生进行辍学预防所固有的灵敏度/精度权衡。荷兰一家职业教育机构的数据显示,如何使用样本外的机器学习预测来制定邀请规则,从而更有效地针对有风险的学生,从而促进早期发现,有效预防辍学。
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引用次数: 2
College quality as revealed by willingness-to-pay for college graduates 大学质量体现在大学毕业生的支付意愿上
IF 1.2 Q3 Social Sciences Pub Date : 2023-05-03 DOI: 10.1080/09645292.2023.2206985
John J. Green, P. Orazem, Nicole S. Swepston
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引用次数: 0
Local prescription opioid use and academic achievement 当地处方阿片类药物的使用和学术成就
IF 1.2 Q3 Social Sciences Pub Date : 2023-05-03 DOI: 10.1080/09645292.2023.2206594
Alexander Bentz
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引用次数: 0
Education-occupation mismatch and social networks for Hispanics in the U.S.: role of citizenship 美国西班牙裔美国人的教育-职业不匹配与社会网络:公民身份的作用
Q3 Social Sciences Pub Date : 2023-04-24 DOI: 10.1080/09645292.2023.2200911
Kusum Mundra, Fernando Rios-Avila
Using a sample of college-educated Hispanics from the 2016–2017 American Community Survey we examine the role of potential social networks on the education-occupation mismatch for Hispanics in the U.S. To do this, we use a novel data-driven index to measure the degree of education-occupation mismatch, while potential networks are measured using the share of Hispanics at the MSA level. We find that networks improve job-match quality for college-educated Hispanics, with effects that are significantly larger for Hispanic citizens when networks consist of the proportion of Hispanics with college degrees. Our findings are robust to other indices of education mismatch.
利用2016-2017年美国社区调查中受过大学教育的西班牙裔美国人的样本,我们研究了潜在的社会网络在美国西班牙裔美国人教育-职业不匹配中的作用。为此,我们使用了一种新的数据驱动指数来衡量教育-职业不匹配的程度,而潜在的网络是使用MSA水平的西班牙裔美国人的份额来衡量的。我们发现,网络提高了受过大学教育的西班牙裔美国人的就业匹配质量,当网络中有大学学位的西班牙裔美国人的比例时,对西班牙裔美国人的影响要大得多。我们的研究结果对其他教育不匹配的指标也很稳健。
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引用次数: 0
The causal effect of education on women’s empowerment: evidence from Kenya 教育对妇女赋权的因果影响:来自肯尼亚的证据
IF 1.2 Q3 Social Sciences Pub Date : 2023-04-17 DOI: 10.1080/09645292.2023.2202370
Hang Thu Nguyen-Phung, Nahashon Nzioka Nthenya
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引用次数: 0
The land of the fee: the effect of Baden-Württemberg's tuition fees on international student outcomes 学费的土地:巴登-符腾堡州的学费对国际学生成绩的影响
IF 1.2 Q3 Social Sciences Pub Date : 2023-04-13 DOI: 10.1080/09645292.2023.2194585
Andreas B. Vortisch
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引用次数: 3
Friends don’t let friends drop out 朋友是不会让朋友退出的
IF 1.2 Q3 Social Sciences Pub Date : 2023-04-05 DOI: 10.1080/09645292.2023.2196006
J. Krieg, D. Martin, A. Wright
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引用次数: 1
Are public sector jobs better for Ph.D. students? The association between employment sector and doctoral dropout and graduation 公共部门的工作更适合博士生吗?就业部门与博士辍学和毕业的关系
IF 1.2 Q3 Social Sciences Pub Date : 2023-03-30 DOI: 10.1080/09645292.2023.2196007
D. Colombo
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引用次数: 0
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Education Economics
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