7 day average through July 23, 2016. National poll of 3000+ US citizens over age 18. The 2016 USC Dornsife / LA Times Presidential Election Poll
Through July 23, 2016.
"Understanding America Study"
The USC Dornsife / LA Times Presidential Election "Daybreak" Poll
"The 2016 USC Dornsife / LA Times Presidential Election Poll represents a pioneering approach to tracking changes in Americans' opinions throughout a campaign for the White House. Around 3000 respondents in our representative panel are asked questions on a regular basis on what they care about most in the election, and on their attitudes toward their preferred candidates. The "Daybreak poll" is updated just after midnight every day of the week."
"Presidential Election Vote
This chart tracks our best estimate, over time, of how America plans to vote in November
The final blue and red figures on the right side of the chart represent our most recent estimates of Hillary Clinton's vote (blue squares) and Donald Trump's (red diamonds). These estimates represent weighted averages of all responses in the prior week. The gray band is a "95-percent confidence interval". Figures lying outside the gray band mean that we are at least 95% confident that the candidate with the highest percentage will win the popular vote.
About the Survey✝:
The USC Dornsife/LA Times Presidential Election "Daybreak" Poll is part of the ongoing Understanding America Study: (UAS) at the University of Southern California’s (USC) Dornsife Center for Economic and Social Research, in partnership with the Jesse M. Unruh Institute of Politics and the Los Angeles Times. Every day, we invite one-seventh of the members of the UAS election panel to answer three predictive questions: What is the percent chance that… (1) you will vote in the presidential election? (2) you will vote for Clinton, Trump, or someone else? and (3) Clinton, Trump or someone else will win? As their answers come in, we update the charts daily (just after midnight) with an average of all of the prior week’s responses. To find out more about what lies behind the vote, each week we also ask respondents one or two extra questions about their preferences and values. The team responsible for the USC Dornsife/LA Times Presidential Election Poll four years ago developed the successful RAND Continuous Presidential Election Poll, which was based on the same methodology."
"Survey Methods" (tab)
"The Daybreak Poll is based on an internet probability panel survey. Daybreak Poll members are participants in the ongoing UAS internet probability panel of about 4500 U.S. residents who were randomly selected from among all households in the United States. Members of recruited households that did not have internet access were provided with tablets and internet service. The UAS panel is still growing. We project it will reach about 6000 members in the coming months.
More than 3200 UAS panel members so far (July 2016) have agreed to participate in answering questions about the election, and we expect that number will increase over time. Each day, 1/7th of those who have agreed to participate (more than 400 per day) are invited to answer three predictive questions: What is the percent chance that... (1) you will vote in the presidential election? (2) if you were to vote, you will vote for Clinton, Trump, or someone else (percentages add to 100) and (3) Clinton, Trump or someone else will win (percentages add to 100). The order of the candidates in the questions is randomized so that about half of the respondents see Clinton as the first choice and half of the respondents see Trump as the first choice.
Each night, Daybreak Poll results are weighted to match demographic characteristics (such as race and gender) from the U.S. Census Current Population Survey, and aligned to the 2012 presidential election outcome using how respondents tell us how they voted in that election. Then the latest results, averages of all of the prior week’s responses, are posted online at https://election.usc.edu and on the LATimes.com Politics site shortly after midnight.
In particular, to obtain the values shown in the election forecast chart, we weight each respondent's likelihood of voting for a candidate with their likelihood of voting in the presidential election. Next we calculate the mean of that number for all respondents during the last 7 days, taking into account respondent level weights based on demographics and past voting behavior.
This is the estimated fraction of the population that will vote for the candidate. The graph shows the estimated fraction of the votes that a candidate will get, which is computed by dividing the estimated fraction of the population that will vote for the candidate by the estimated fraction of the population that will vote for any candidate. The latter is analogously obtained as the weighted mean of the respondents' likelihood of voting in the presidential election.
To find out more about what lies behind the vote, each week we also ask respondents one or two extra questions about their preferences and values. Links to documents detailing question text, sample sizes, response rates and other information for these separate surveys are provided in the detailed information section below, linked to stories or press releases where the results were disseminated.
The Daybreak Poll began on July 4, 2016, and will run through the November election.
More information about UAS panel methodology, the panel management and survey software we developed, or our publicly available datasets are available in the links here or at the UAS site (https://uasdata.usc.edu). For other questions, or to inquire about how you can conduct surveys with the UAS panel, contact us.
Summary of links to more detailed information about the UAS Panel and the Daybreak Poll:
UAS Panel Recruitment
UAS Panel sampling
UAS Panel Weighting
Screen shots of the 3 weekly vote questions (note order of candidates is randomized)
Details of weighting the Daybreak Poll
Detailed survey methods pages for stories and releases based on additional questions
Frequently Asked QuestionsQ: Do you use a likely voter model?
A: No, the respondents provide us with their own subjective probability of voting and we use that to weight their responses.
Q: Who is eligible to participate in the Daybreak poll?
A: Relevant references for the Daybreak Poll's probabilistic approach to election estimation: ✝
- Delavande, Adeline, and Charles F. Manski. 2010. Probabilistic polling and voting in the 2008 presidential election: Evidence from the American Life Panel. Public Opinion Quarterly 74:433–459. doi: 10.1093/poq/nfq019
- Gutsche, T. L., Kapteyn, A., Meijer, E., & Weerman, B. (2014). The RAND Continuous 2012 Presidential Election Poll. Public Opinion Quarterly, 78, 233–254. doi: 10.1093/poq/nfu009
- Kapteyn, A., Meijer, E., & Weerman, B. (2012). Methodology of the RAND Continuous 2012 Presidential Election Poll (Working Paper No. WR-961). RAND Corporation. doi: 10.2139/ssrn.2146149