2022 Cooperative Election Study

2020年合作选举研究(CES)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。非常大的样本量使研究人员拥有足够的数据来研究州选民以及整个国家。这项调查衡量了全国和州选举中的人口统计数据、意见和态度以及投票行为。这项调查被用来研究谁投票，为什么投票，以及如何解释选民做出的选择。该项目的数据被研究人员、记者和公众广泛使用，以了解美国选举和民意。这项调查有助于建立和维持一个研究人员网络，这些研究人员对州和国家选举、调查设计和公众舆论感兴趣。2020年CES调查是由一个研究团队组成的联盟开发的。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。这项调查是通过互联网进行的，样本被构建为具有全国代表性。每个团队从自己的1,000人调查中接收数据，并从Common Content调查中接收由50,000多个观察数据组成的数据集。调查数据使用选民验证并通过将州一级选举结果与各州子样本的调查结果进行比较来验证。该奖项反映了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。

The 2020 Cooperative Election Study (CES) 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 very large sample size allows researchers to have sufficient data to study state electorates as well as the entire nation. The survey measures demographics, opinions and attitudes, and voting behavior in national and state elections. The survey is used to study who votes and why, and what explains the choices that voters make. The data from this project are used widely by researchers, journalists, and members of the public to understand American elections and public opinion. The survey helps to create and sustain a network of researchers interested in state and national elections, survey design, and public opinion. The 2020 CES survey 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 survey is fielded over the Internet, with samples constructed to be nationally representative. Each team receives 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 voter validation and through comparisons of state level election results to the survey results from the sub-samples 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.