2018 CSES

2018年中国电子展

• 批准号: 1756447
• 负责人: Stephen Ansolabehere
• 金额: $ 84.48万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1756447&HistoricalAwards=false
• 关键词: 2018; CSES

The 2018 CCES is a collaboration of over 50 different university research teams throughout the United States. Collectively this group designs and fields a large sample survey of at least 50,000 American adults. The survey measures demographics, opinions, and attitudes. The very large sample size allows researchers to have sufficient data to study states as well as the entire nation. The CCES, which started in 2006, makes available at very low cost a survey platform that is open to all. Since its inception, the project has involved more than 100 different research teams and hundreds of faculty and student researchers, and it has conducted interviews with over 250,000 American adults. The data from this project are used widely by researchers, journalists, and members of the public to understand public opinion. Few, if any, data infrastructure ventures in the discipline can boast participation from as many institutions and scholars as CCES has facilitated. The survey helps to create and sustain a network of researchers interested in survey design and public opinion.The 2018 CSES is developed by a consortium of research teams. Each research team that wishes to be involved in the project purchases a 1,000-person sample survey from the same firm. Each individual team determines half of the questions on its survey. The other half of the content (Common Content) is created by a design committee, drawn from the participating teams. Common Content consists of questions that every team would like to measure or questions that are of broad interest and require a very large sample. The project, thus, fields as many surveys as there are teams and also produces a single large sample survey that consists of the Common Content. The Common Content is designed by a committee in consultation with all teams involved in the survey. The survey will be fielded over the Internet, with samples constructed to be nationally representative. Each team will receive the data from its own 1,000-person survey and a dataset consisting of the 50,000+ observations from the Common Content survey. Survey data are validated using comparisons of state level election results to the survey results from the subsamples for each state.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.

2018年CCES是美国50多个不同大学研究团队的合作项目。总的来说，这个小组设计并开展了一项针对至少5万名美国成年人的大型抽样调查。这项调查衡量的是人口统计数据、观点和态度。非常大的样本量使研究人员有足够的数据来研究各州和整个国家。CCES始于2006年，以非常低的成本提供了一个向所有人开放的调查平台。自项目开始以来，该项目已经有100多个不同的研究团队和数百名教职员工和学生研究人员参与，并对超过25万名美国成年人进行了采访。该项目的数据被研究人员、记者和公众广泛使用，以了解民意。该学科的数据基础设施项目很少(如果有的话)能像CCES那样拥有如此多的机构和学者的参与。这项调查有助于建立和维持一个对调查设计和民意感兴趣的研究人员网络。2018年CSE由一个研究团队联盟开发。希望参与该项目的每个研究团队都从同一家公司购买了1000人的抽样调查。每个单独的团队决定其调查中一半的问题。内容的另一半(通用内容)由一个设计委员会创建，该委员会从参与团队中抽取。常见的内容包括每个团队都想衡量的问题，或者广泛感兴趣并需要非常大样本的问题。因此，该项目提供了与团队一样多的调查，并产生了一个由共同内容组成的单一大样本调查。共同内容是由一个委员会与参与调查的所有团队协商后设计的。这项调查将通过互联网进行，样本将被构建为具有全国代表性。每个团队将收到来自其自己的1000人调查的数据和一个由来自共同内容调查的50,000多个观察组成的数据集。调查数据通过将州一级选举结果与每个州的子样本的调查结果进行比较来验证。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Congressional Representation: Accountability from the Citizen's Perspective

国会代表：公民视角下的责任

• DOI: 10.1111/ajps.12607
• 发表时间: 2021
• 期刊: American journal of political science
• 影响因子: 4.2
• 作者: Ansolabehere, Stephen Kuriwaki