Collaborative Multi-racial Post-election Survey (CMPS), United States, 2016

In spring 2016, scholars were invited to collaborate on the 2016 Collaborative Multi-Racial Post-election Survey (CMPS). The goal of the project was to create the first cooperative, 100% user content driven, multi-racial, multiethnic, multi-lingual, post-election online survey in race, ethnicity and politics (REP) in the United States. The survey's main focus is on attitudes about the 2016 election and candidates, debates over immigration, policing, and racial equality, and experiences with racial discrimination across many facets of American life. Questions were user-generated from a team of 86 social scientists across 55 different universities who placed questions on the survey. Users could submit questions for just one single racial group, or common questions across all four racial groups, depending on their interest. In cases where two different users submitted very similar questions the PIs worked to create a single common question. Overall, the survey contains 394 questions. The restricted-use dataset contains geographical information which has been masked in the public-use dataset along with adjustments to date information. Please refer to the Collection Notes in the SCOPE OF PROJECT section for more information.

2016年春季，学者们被邀请合作进行2016年协作多族裔选举后调查（CMPS）。该项目的目标是创建首个合作、100%用户内容驱动的多族裔、多民族、多语言选举后在线调查，该调查聚焦于美国种族、民族与政治（REP）领域。调查的主要焦点在于对2016年选举及候选人的态度、关于移民、警务和种族平等的辩论，以及在美国生活多个方面的种族歧视经历。问题由来自55所不同大学的86位社会科学家组成的团队生成，他们在调查中提出了问题。用户可以根据自己的兴趣提交仅针对单一种族群体的问题，或者涵盖所有四个种族群体的共同问题。在两位不同用户提交了非常相似的问题时，项目负责人努力创建一个单一的共同问题。总体而言，该调查包含394个问题。受限使用数据集包含已被在公共使用数据集中屏蔽的地理信息以及日期信息的调整。请参阅项目范围部分的收集笔记以获取更多信息。