Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS)

合作研究：社会科学分时实验（TESS）

• 批准号: 1628057
• 负责人: James Druckman
• 金额: $ 261.13万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1628057&HistoricalAwards=false
• 关键词: Collaborative; Research; Time; Sharing; Experiments; Collaborative; Research; Time; Sharing; Experiments

Time-Sharing Experiments for the Social Sciences (TESS) is a platform for conducting survey experiments fielded on probability-based samples of United States adults. TESS capitalizes on the economies of scale to enable scholars from across the social sciences, on a competitive basis, to conduct ground-breaking research on issues of broad theoretical and practical importance. The intellectual merit of TESS is closely connected to its successes in enabling social scientists collection original population-based experimental data in a timely manner; promoting better understanding of fundamental social, political, and economic questions; maximizing financial efficiency by pooling expenses for otherwise separate studies; and offering mentoring and educational resources. The broader impacts of TESS are wide-ranging. TESS has allowed a wide variety of scholars to undertake survey experiments that because of cost to single researchers would not be possible. It has also allowed for these scholar's work to be improved by a rigorous review process and mentoring where needed. In addition, all the data collected under the TESS framework is made available on a timely basis in a single archive.The current iteration of TESS also includes running experiments on M-TURK as well as probability-based samples in Europe. Using M-TURK will allow scholars to examine the usefulness of that data collection system as compared to the probability-based samples currently used. It will allow investigators to examine for biases in the data collection processes in the former, which while inexpensive may be severely flawed for some purposes. Examining the results of probability-based analysis in Europe as compared to the United States will allow investigators to study how robust results derived from United States data are. This is especially true of experiments dealing with non-political cases.

社会科学（TESS）的时间共享实验是进行对基于概率的美国成年人样本进行调查实验的平台。 Tess利用规模经济来使整个社会科学的学者在竞争的基础上使学者对广泛理论和实际重要性的问题进行开创性的研究。 苔丝的智力优点与其成功在使社会科学家及时收集基于人群的实验数据方面的成功密切相关。促进对基本的社会，政治和经济问题的更好理解；通过合并其他单独研究的费用来最大化财务效率；并提供指导和教育资源。 苔丝的更广泛影响是广泛的。 苔丝允许各种各样的学者进行调查实验，因为单个研究人员的成本是不可能的。 它还允许通过严格的审查过程和在需要的情况下进行指导来改善这些学者的工作。 此外，在单个档案中及时提供了在TESS框架下收集的所有数据。当前的TESS迭代还包括在M-Turk上运行实验以及欧洲概率的样本。 与当前使用的基于概率的样本相比，使用M-Turk将允许学者检查该数据收集系统的有用性。 它将允许研究人员检查前者数据收集过程中的偏见，虽然出于某些目的可能会严重缺陷。 与美国相比，研究欧洲基于概率的分析结果将使研究人员能够研究美国数据的强大结果。 涉及非政治案件的实验尤其如此。