ABC News/Washington Post War Poll #2, March 2003 (ICPSR 3779)
Afrobarometer Round 5: The Quality of Democracy and Governance in Côte d'Ivoire, 2013 (ICPSR 35542)
American National Election Study: 2016 Pilot Study (ICPSR 36390)
These data are being released as a preliminary version to facilitate early access to the study for research purposes. This collection has not been fully processed by ICPSR at this time, and data are released in the format provided by the principal investigators. As the study is processed and given enhanced features by ICPSR in the future, users will be able to download the updated versions of the study. Please report any data errors or problems to user support, and we will work with you to resolve any data-related issues.
The American National Election Study (ANES): 2016 Pilot Study sought to test new instrumentation under consideration for potential inclusion in the ANES 2016 Time Series Study, as well as future ANES studies. Much of the content is based on proposals from the ANES user community submitted through the Online Commons page, found on the ANES home page. The survey included questions about preferences in the presidential primary, stereotyping, the economy, discrimination, race and racial consciousness, police use of force, and numerous policy issues, such as immigration law, health insurance, and federal spending. It was conducted on the Internet using the YouGov panel, an international market research firm that administers polls that collect information about politics, public affairs, products, brands, as well as other topics of general interest.
ANES 2020 Time Series Study (ICPSR 38034)
This study is part of the American National Election Study (ANES), a time-series collection of national surveys fielded continuously since 1948. The American National Election Studies are designed to present data on Americans' social backgrounds, enduring political predispositions, social and political values, perceptions and evaluations of groups and candidates, opinions on questions of public policy, and participation in political life. As with all Time Series studies conducted during years of presidential elections, respondents were interviewed during the two months preceding the November election (Pre-election interview), and then re-interviewed during the two months following the election (Post-election interview). Like its predecessors, the 2020 ANES was divided between questions necessary for tracking long-term trends and questions necessary to understand the particular political moment of 2020. The study maintains and extends the ANES time-series 'core' by collecting data on Americans' basic political beliefs, allegiances, and behaviors, which are so critical to a general understanding of politics that they are monitored at every election, no matter the nature of the specific campaign or the broader setting. This 2020 ANES study features a fresh cross-sectional sample, with respondents randomly assigned to one of three sequential mode groups: web only, mixed web (i.e., web and phone), and mixed video (i.e., video, web, and phone). The new content for the 2020 pre-election survey includes coronavirus pandemic, election integrity, corruption, impeachment, immigration and democratic norms. The pre-election survey also includes protests and unrest over policing and racism. The new content for the 2020 post-election survey includes voting experiences, anti-elitism, faith in experts or science, climate change, gun control, opioids, rural-urban identity, international trade, transgender military service, social media usage, misinformation, perceptions of foreign countries and group empathy. Phone and video interviews were conducted by trained interviewers using computer-assisted personal interviewing (CAPI) software on computers. Unlike in earlier years, the 2020 ANES did not use computer-assisted self interviewing (CASI) during any part of the interviewer-administered modes (video and phone). Rather, in interviewer-administered modes, all questions were read out loud to respondents, and respondents also provided their answers orally. Demographic variables include respondent age, education level, political affiliation, race/ethnicity, marital status, and family composition.
Argentina Domestic Violence and Economic Data, 1955-1972 (ICPSR 5213)
Asian State National Attributes, 1956-1968 (ICPSR 5018)
CBS News Monthly Poll #3, February 2003 (ICPSR 3747)
CBS News Monthly Poll #5, March 2003 (ICPSR 3787)
CBS News/New York Times Monthly Poll #2, February 2003 (ICPSR 3746)
CBS News/New York Times Monthly Poll #2, March 2003 (ICPSR 3755)
CBS News/New York Times Monthly Poll #4, March 2003 (ICPSR 3786)
CBS News/New York Times Persian Gulf War Polls, January-February 1991 (ICPSR 9619)
CBS Reports: Generations Apart, 1969 (ICPSR 7345)
Contentious Gatherings in Britain, 1758-1834 (ICPSR 8872)
COVID Behind Bars: Grassroots and Other COVID-19 Organizing Efforts, United States, 2020-2021 (ICPSR 38747)
Dimensions of Conflict Behavior Within and Between Nations, 1955-1960 (ICPSR 5021)
Domestic Conflict Behavior, 1919-1966 (ICPSR 5003)
Domestic Violence, International Behavior and National Attributes of Developing Nations, 1962-1967 (ICPSR 5013)
Domestic Violence Teaching Package, 1955-1964 (ICPSR 5702)
Dynamics of Collective Action, United States, 1960-1995 (ICPSR 39728)
Ethnic Collective Action in Contemporary Urban United States -- Data on Conflicts and Protests, 1954-1992 (ICPSR 34341)
This project seeks to identify sources of ethnic and racial conflict and protest in urban America from 1954 through 1992. The data on collective events are coded using The New York Times. Detailed coding rules produced a chronological dataset that allows researchers to:
Analyze the location and timing of both conflicts (confrontations between two or more ethnic populations) and protests (marches, mass meetings, demonstrations on behalf of one ethnic group, expressing grievances related to discrimination or racial policy).
Specifically analyze a type of protest (e.g., civil rights movement activity, or urban race riots) and the potential dynamic relationship of different types of protests and conflicts.
Identify any ethnic, nationality, or racial characteristics of participants who were the targets and/or instigators of each protest and conflict.
Analyze information on each event's location, size, targets, police presence, arrests, damage or injuries, and the content of claims directed against government authorities, police, and other groups.
French Election Study, 1968 (ICPSR 7247)
Global Digital Activism Data Set, 2013 (ICPSR 34625)
ICPSR Instructional Subset: Justifying Violence: Attitudes of American Men, 1969 (ICPSR 7517)
Los Angeles Metropolitan Area Surveys [LAMAS] 3, 1971 (ICPSR 36611)
The Los Angeles Metropolitan Area Surveys [LAMAS] 3, 1971 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Surveys (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.
The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey cover respondents' attitudes toward the following topics: the concept of a model neighborhood, air pollution, medical problems and health care services in the community, local government politics, police relations, crime, the Mexican-American protests, and public transportation. A sub-sample of households in the San Fernando Area were asked questions about the 1970 earthquake, rating the effectiveness of local government response and the respondents' feelings about possible future disasters.
Demographic variables included in this dataset include age, marital status, religion, sex, education, income, geographic origin, and race.