Doctoral Dissertation Research: Reputational Consequences of Scholarships
Doctoral Dissertation Research: Reputational Consequences of Scholarships
批准号:
2001853
负责人:
Matthew Salganik
金额:
$1.58万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-04-01 至 2021-08-31
中文摘要
该项目将调查与特定奖学金计划的关联是否会对劳动力市场的结果产生负面的声誉后果。 它还将审查雇主的特点是否以及如何与这种奖励的潜在污名化影响有关。近几十年来,许多大学和公司利用奖学金、研究金和管道计划来实现组织目标。这些方案为某些群体的成员提供额外的机会和资源,但这样做可能会给接受者贴上标签。 先前的研究发现,受益人可能被视为不那么热情和不那么有能力。 本项目的研究结果将有助于更好地理解机会增强计划和奖励如何对其受益人的结果产生意想不到的负面影响。本项目使用调查实验来衡量雇主对奖学金获得者的看法。样本包括招聘经理和其他具有招聘和招聘经验的专业人员。受访者被随机分配到被调查者中进行审查,并被要求回答他们对被调查者所代表的求职者的看法。研究人员实验性地操纵申请人的人口统计学群体和获得的奖学金种类。该奖项反映了NSF的法定使命,并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,被认为值得支持。
英文摘要
This project will investigate whether association with particular scholarship programs generates negative reputational consequences for labor market outcomes. It also will examine if and how employer characteristics are related to the potentially stigmatizing effects of such awards. In recent decades, many universities and companies have used scholarships, fellowships, and pipeline programs to achieve organizational goals. These programs offer members of some groups additional opportunities and resources but in doing so may label the recipients. Prior research has found that beneficiaries may be seen as less warm and less competent. The findings from this project will provide greater understanding of how opportunity-enhancing programs and awards may have unintended negative effects on their beneficiaries’ outcomes.This project uses a survey experiment to measure employer perceptions of scholarship winners. The sample consists of hiring managers and other professionals with recruiting and hiring experience. Respondents are randomly assigned resumés to review and are asked to answer questions about their perceptions of the job applicants represented by the resumés. The resumés experimentally manipulate the demographic group of the applicant and kind of scholarship received. The survey experiment will be complemented by a field experiment with similar experimental manipulations.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.
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会议论文
Doctoral Dissertation Research: Algorithmic Pretrial Risk Assessments in the Courtroom
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批准号:2001832
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项目类别:Standard Grant
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资助金额:$1.6万
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财政年份:2020
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负责人:Matthew Salganik
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依托单位:
Spokes: MEDIUM: NORTHEAST: Collaborative Research: Data Science Foundry: A Collaborative Platform for Computational Social Science
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批准号:1760052
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2018
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负责人:Matthew Salganik
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依托单位:
海外基金