2016 Cooperative Congressional Election Study

2016 年国会选举合作研究

• 批准号: 1559125
• 负责人: Stephen Ansolabehere
• 金额: $ 58.64万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-15 至 2018-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559125&HistoricalAwards=false
• 关键词: 2016; Cooperative; Congressional; Election; Study

General SummaryThe 2016 Cooperative Congressional Study (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, political opinions and attitudes, and electoral behavior, especially in the congressional elections, but also in the Presidential election and state elections. The very large sample size allows researchers to have sufficient data to study state electorates as well as the entire nation. The survey is used to study who votes and why, and what explains the choices that voters make. 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 survey helps to create and sustain a network of researchers interested in state and national elections, survey design, and public opinion. Technical SummaryThe 2016 Cooperative Congressional Election 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 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 voter validation and through comparisons of state level election results to the survey results from the subsamples for each state. The data produced by this project will be a 2016 Common Content dataset, along with accompanying contextual data, as well as separate Team Content datasets and will be available on the CCES Dataverse website.

一般摘要2016年合作国会研究（CCE）是美国50多名不同大学研究团队的合作。 该小组共同设计并对至少50,000名美国成年人进行了大量样本调查。该调查衡量了人口统计学，政治观点和态度以及选举行为，尤其是在国会选举中，而且在总统大选和州选举中。 样本量非常大，研究人员可以拥有足够的数据来研究国家选民以及整个国家。 该调查用于研究谁的投票，原因，以及什么解释了选民做出的选择。 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。 自成立以来，该项目涉及100多个不同的研究团队以及数百名教师和学生研究人员，并且已经对25万名美国成年人进行了访谈。该调查有助于建立和维持对州和国家选举，调查设计和舆论感兴趣的研究人员网络。 技术摘要2016年合作国会选举调查是由研究团队的财团开发的。 希望参与该项目的每个研究团队都会从同一公司购买1,000人的样本调查。 每个团队确定调查中的一半问题。内容的另一半（共同内容）是由设计委员会创建的，该委员会是由参与团队汲取的。 常见内容包括每个团队都想衡量或需要大量样本的问题。 因此，该项目与团队一样多的调查领域，还会产生一个由共同内容组成的大型样本调查。 共同内容是由委员会与参与调查的所有团队进行协商的委员会设计的。 该调查将通过互联网进行，并构建为全国代表的样本。 每个团队将从其自己的1,000人调查中收到数据，以及由共同内容调查的50,000多个观察结果组成的数据集。 调查数据通过选民验证以及通过州级选举结果与每个州子样本的调查结果进行比较来验证数据。该项目生产的数据将是2016年通用内容数据集，以及随附的上下文数据以及单独的团队内容数据集，并将在CCES Dataverse网站上提供。