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Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023

Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023
合作研究:社会科学分时实验(TESS):2020-2023 年更新支持提案
批准号:
2017581
负责人:
James Druckman
金额:
$297.2万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-04-30

项目摘要

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中文摘要
翻译
社会科学分时实验(TESS)为社会科学家提供了一个平台,对美国成年人进行基于概率的样本调查实验。 TESS使高质量的原始实验数据的获取民主化,从而将基于人口的调查实验的力量交给来自各种背景,学术机构类型和职业阶段的研究人员。 TESS利用规模经济,将独立研究的费用集中起来,并公开所有数据,提供无与伦比的社会科学实验刺激和数据档案,可用于复制,重新分析和荟萃分析。TESS接受社会科学任何职业阶段的研究人员的建议。 这些建议经过同行审查,最好的建议将被选中。 TESS使用NORC AmeriSpeak面板进行项目,该面板是用于调查美国成年人的最高质量的基于概率的互联网面板。 由于TESS对该面板进行了大量研究,因此与单独资助每个研究的成本相比,我们实现了显着的成本节约。 TESS使用开放科学框架将所有数据存档并公开,我们还将与罗珀中心的iPoll数据库合作,使TESS数据更容易被二级用户访问。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
Time-sharing Experiments for the Social Sciences (TESS) provides a platform for social scientists to conduct survey experiments on probability-based sample of United States adults. TESS democratizes access to high-quality, original experimental data, thereby putting the power of population-based survey experiments in the hands of researchers from all backgrounds, types of academic institutions, and career stages. TESS capitalizes on economies of scale by pooling expenses from otherwise separate studies, and makes all its data publicly available, providing an unparalleled archive of social science experimental stimuli and data that can be used for replications, re-analyses, and meta-analyses.TESS accepts proposals from researchers at any career stage across the social sciences. These proposals are peer-reviewed, and the best are selected to be fielded. TESS fields projects using the NORC AmeriSpeak panel, which is the highest-quality probability-based Internet panel available for surveying US adults. Because TESS performs a large number of studies on this panel, we achieve significant cost savings than what the studies would cost if each were funded separately. TESS uses the Open Science Framework to archive all data and make it publicly available, and we will also be working with the Roper Center’s iPoll database to make TESS data even more accessible to secondary users.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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Collaborative Research: State Health, Institutions, and Politics Survey (SHIPS)
  • 批准号:
    2422182
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.46万
  • 财政年份:
    2024
  • 负责人:
    James Druckman
  • 依托单位:
Collaborative Research: U.S. institutions after COVID-19: Trust, accountability, and public perceptions
  • 批准号:
    2422394
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.19万
  • 财政年份:
    2024
  • 负责人:
    James Druckman
  • 依托单位:
Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023
  • 批准号:
    2424057
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $297.2万
  • 财政年份:
    2024
  • 负责人:
    James Druckman
  • 依托单位:
Collaborative Research: State Health, Institutions, and Politics Survey (SHIPS)
  • 批准号:
    2241884
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.46万
  • 财政年份:
    2023
  • 负责人:
    James Druckman
  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
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