These data on voting intentions for the 2016 US presidential election was scraped from the Huffington Post's Pollster blog (http://elections.huffingtonpost.com/pollster) on the 12 December 2016 at 5:50 am Australian Eastern Standard Daylight Saving Time (AEDT) (UTC +11). There are polls in this dataset from 19 May 2015 through to 6 November 2016. be incomplete but covers These data includes variables on: Pollster, dates of fielding, sample size, population sampled, mode of fielding, estimates for Trump, Clinton, Johnson, McMullin, and Other candidates (as well as an undecided estimate), partisanship of pollster, question wording, and location (national/state) of fielding. These data are by no means complete. If you are aware of missing polls, please let me know so I may make a more complete dataset.

Abstract (en): Election data for 50 states and the District of Columbia were collected through interviews conducted with voters as they left their polling places on election day, November 4, 2008. Part 1, National Data, contains data collected from a national sample. National sample respondents were asked a series of questions about their electoral choices, the issues surrounding the elections, and the factors that influenced their decisions. Questions focused on the direction of the country, national security, terrorism, the war in Iraq, the state and future of the nation's economy, gay marriage, and the George W. Bush presidency. Demographic variables of national respondents cover age, race, gender, Hispanic descent, sexual orientation, age of children in household, marital status, political party, political orientation, employment status, education, religion, sexual orientation, and family income. Parts 2-52 contain data collected from each state and District of Columbia surveys. Respondents were asked for their opinions of Republican presidential candidate Senator John McCain, Democratic presidential candidate Senator Barack Obama, and the United States Congress, as well as for their vote choices in the relevant gubernatorial, senatorial, and congressional elections. Those queried were also asked their opinions of the candidates' spouses, Cindy McCain and Michelle Obama. Demographic variables of individual state respondents cover age, race, gender, education, voter participation history, political party, political orientation, sexual orientation, and family income. Telephone interviews were the only type of interview conducted in Colorado, Oregon, and Washington. Telephone interviews were also used to poll absentee voters in Alaska, Arkansas, Arizona, California, Florida, Georgia, Iowa, Michigan, Montana, New Mexico, Nevada, North Carolina, Ohio, Tennessee, and Texas. National: A sample of exit poll precincts was drawn from each of the 50 states and the District of Columbia. A subsample of these precincts was selected to form the national sample. The national survey was administered in a total of 300 sample exit poll precincts. Respondents in the national precincts were given one of four versions of the national questionnaire. The four versions were interleaved on pads that were handed out to respondents. Responses to the four versions are combined into one dataset. All versions have questions in common as well as questions unique to each version. State Data: As mentioned above, a sample of exit poll precincts was drawn in each state. A subsample of these precincts was selected to form the national sample. The remaining precincts in each state made up the state sample and were given questionnaires specific to that state. Because the national questionnaire has several items in common with the state questionnaire, national respondents are included in the state exit poll dataset for these common questions. To determine which questions are on the national questionnaire, simply crosstab each question by QTYPE (found in column 13 of the ascii dataset), indicating whether the respondent completed the state or national survey. If the corresponding item did not appear on that respondent's version of the questionnaire, it was coded as system missing in the SPSS file and will appear as a blank in the ascii dataset. Remember, as noted above, some questions on the national survey appear on multiple versions of the national and some do not. Note that in 2008 all respondents in California, Illinois, Maryland, Massachusetts, and New York answered one version of the national questionnaires. The exit poll results are weighted to reflect the complexity of the sampling design. That is, the weighting takes into account the different probabilities of selecting a precinct and of selecting a voter within each precinct. For example, minority precincts that were selected at a higher rate receive a smaller weight than other precincts of the same size. An adjustment is made for voters who were missed or refused to be interviewed, which is based on their observed age, race, and gender. Respondents are also weighted based upon the size and distribution of the final tabulated vote within geographic regions of the state or of the nation. Voters casting a ballot in the 2008 United States general election. The samples were selected in two stages. First, a probability sample of voting precincts within each state was selected that represents the di...

Abstract

This dataset is the election survey conducted in South Africa by the Democracy in Africa Research Unit at the University of Cape Town in 2009. The survey collects data using standard questions from two international election studies, the Comparative National Elections Survey (CNEP), and the Comparative Study of Electoral Systems (CSES). The Comparative National Elections Survey is coordinated by the Mershon Center for International Security Studies at Ohio State University (https://u.osu.edu/cnep/). The Comparative Study of Electoral Systems is a collaborative program of research among election study teams from around the world, run by the Center for Political Studies and GESIS, Leibniz Institute for the Social Sciences, in Germany, and the University of Michigan in the US (http://www.cses.org/). The South African study includes additional questions. Surveys conducted by IDASA in the 19990s, and the 2004, 2009 and 2015 CNEP surveys for South Africa are part of a series of South African surveys conducted by DARU, called the South African National Election Study.

Geographic coverage

This survey has national coverage.

Analysis unit

Individuals

Universe

The universe of the study is citizens of South Africa

Kind of data

Sample survey data

Sampling procedure

The survey used a random, nationally representative, stratified, area probability cluster sample. Primary sampling units were census enumerator areas (EAs) selected as a random sample, with probability proportionate to population size. All EAs were stratified by 1) Province, 2) Urban/Rural and 3) Race. Within each EA, a skip interval of 10 dwellings to select a household was used. That is, walking in a designated direction away from the start point, selecting the 10th household for the first interview, counting dwellings on both the right and the left (and starting with those on the right if they are opposite each other). Once the household was chosen, the interviewer randomly selected an individual respondent within the household to be interviewed (altering gender quota). The total number of household in the sample was 1300.

Sampling deviation

If the household was vacant, if the household refused to participate, if the selected person refused to be interviewed, or if the selected respondent is not available after two callbacks, interviewers were instructed to move to the next house in the walk pattern (i.e. every tenth house). They were not permitted to substitute within a household

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey collected data using core questionnaires from both the Comparative National Elections Project (CNEP).

Cleaning operations

The data was checked and cleaned by the original team at the Democracy in Africa Research Unit.

Response rate

The response rate for the survey that the CSES Module appeared in was 34%.