2016 Cooperative Congressional Election Study

2016年合作国会研究（CCES）是美国50多个不同大学研究团队的合作。该小组共同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。这项调查衡量人口统计、政治观点和态度以及选举行为，尤其是在国会选举中，但也包括总统选举和州选举。非常大的样本量使研究人员有足够的数据来研究州选民以及整个国家。这项调查用于研究谁投票，为什么投票，以及如何解释选民做出的选择。CCES于2006年启动，以极低的成本向所有人开放一个调查平台。自启动以来，该项目涉及100多个不同的研究团队和数百名教师和学生研究人员，并对25万多名美国成年人进行了采访。这项调查有助于建立和维持一个由对州和全国选举、调查设计和公众舆论感兴趣的研究人员组成的网络。《2016年合作国会选举调查》是由一个研究团队联盟开发的。每个希望参与该项目的研究团队都从同一家公司购买一份1000人的抽样调查。每个小组决定其调查中一半的问题。另一半内容（公共内容）由设计委员会从参与的团队中选出。公共内容由每个团队想要测量的问题或具有广泛兴趣并需要非常大样本的问题组成。因此，该项目进行了尽可能多的调查，因为有团队，也产生了一个单一的大样本调查，包括公共内容。共同内容是由一个委员会与参与调查的所有小组协商后设计的。该调查将通过互联网进行，样本将具有全国代表性。每个团队将从自己的1000人调查中获得数据，并从共同内容调查中获得由50,000多个观察结果组成的数据集。调查数据通过选民验证和州级选举结果与每个州子样本的调查结果的比较来验证。该项目产生的数据将是2016年通用内容数据集，以及相关的上下文数据，以及单独的团队内容数据集，并将在CCES Dataverse网站上提供。

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.