2000 Florida Ballots Project (ICPSR 36207)
In the United States presidential election of November 2000, approximately 180,000 ballots in Florida's 67 counties were uncertified because they failed to register a "valid" vote for president. These ballots included those in which no vote was recorded (undervotes) and those in which people voted for more than one candidate (overvotes). The 2000 Florida Ballots Project examined the undervotes and overvotes. The goal of the project was not to declare a "winner," but rather to carefully examine the ballots to assess the relative reliability of the three major types of ballot systems used in Florida. The results of this assessment may help state legislatures, other decision-makers, and developers of ballot systems to work toward more reliable ballot systems in the future.
This collection contains seven separate data sets. The first data set is the "Raw Data File" which contains one record for each ballot examined. In addition to ballot information, each record includes county name, FIPS code, ballot system and other identifying information. The unique identifier for each record is recorded in the variable BALNUM, and can be used to link the data sets. The second data set is the "Aligned Data File." This data set matches the Raw Data File with the exception of the variables associated with the candidates. All chad-level data (including chads that represent a particular candidate) are presented in the raw file. In the aligned data file, only those data that apply to candidate chads are included - data from three coding systems are contained in the same variable for each candidate. The third data set is the "Recode Data File." At random intervals, after coding a group of ballots, the coders were instructed to recode the same ballots as a check on intra-coder reliability (or consistency within a coder). These second codings are contained in the recode data file. The difference between variables in the recode data and file and the aligned data file is variables with the suffix C1, C2, or C3 in the aligned data has R1, R2, and R3, respectively, in the recode data. The fourth data file is the "Comment Data File." The comments data file is a ballot-level file containing all comments made by coders during the coding of ballots. The data file contains one record for each ballot for which at least one of the three coders recorded a comment; 5,407 ballots had at least one coder comment and are contained in this file. The fifth data file is the "Coder Demographic Data File." The Coder Demographic data file contains the results of a questionnaire given to each coder employed by NORC for the Florida Ballots Project. This file contains one record for each coder and includes information such as the sex, marital status, age, income level, ethnicity, and political affiliation of each coder. The ID field contains the identification number of the coder which can be used as a link to the raw and aligned data files. The sixth and seventh data sets are the "Orange County Raw Data File" and "Orange County Aligned Data File." These two data sets are identical to the structures of the raw and aligned data files, respectively. Each file has 417 records. These data files are being made available because the 966 undervotes and 1,383 overvotes reported by Orange County on election day (that ultimately informed the tally of certified totals) could not be segregated by county officials responsible for producing the ballots for NORC review. The NORC coders were initially shown only 640 undervotes and 1,197 overvotes. At the time of initial coding, more than 400 of the ballots rejected by machines on election day simply could not be distinguished from ballots that were accepted and certified on election day.
ABC News Final Pre-Election Tracking Poll, October 1984 (ICPSR 8517)
ABC News/Washington Post Poll, January 2008 (ICPSR 24603)
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 2016 Time Series Study (ICPSR 36824)
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 2016 ANES was divided between questions necessary for tracking long-term trends and questions necessary to understand the particular political moment of 2016. 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 2016 ANES study features a dual-mode design with both traditional face-to-face interviewing (n=1,181) and surveys conducted on the Internet (n=3,090), and a total sample size of 4,271. In addition to content on electoral participation, voting behavior, and public opinion, the 2016 ANES Time Series Study contains questions about areas such as media exposure, cognitive style, and values and predispositions. Several items first measured on the 2012 ANES study were again asked, including "Big Five" personality traits using the Ten Item Personality Inventory (TIPI), and skin tone observations made by interviewers in the face-to-face study. For the first time, ANES has collected supplemental data directly from respondents' Facebook accounts. The post-election interview also included Module 5 from the Comparative Study of Electorial Systems (CSES), exploring themes in populism, perceptions on elites, corruption, and attitudes towards representative democracy. Face-to-face interviews were conducted by trained interviewers using computer assisted personal interviewing (CAPI) software on laptop computers. During a portion of the face-to-face interview, the respondent answered certain sensitive questions on the laptop computer directly, without the interviewer's participation (known as computer assisted self-interviewing (CASI)). Internet questionnaires could be completed anywhere the respondent had access to the Internet, on a computer or on a mobile device. Respondents were only eligible to compete the survey in the mode for which they were sampled. Demographic variables include respondent age, education level, political affiliation, race/ethnicity, marital status, and family composition.