Connect with us

News

Cross-Tabs: February 2024 Times/Siena Poll of the Likely Electorate

Published

on

Cross-Tabs: February 2024 Times/Siena Poll of the Likely Electorate

Methodology

The New York Times/Siena College poll of 980 registered voters nationwide, including 823 who completed the full survey, was conducted in English and Spanish on cellular and landline telephones from Feb. 25 to 28, 2024. The margin of sampling error is plus or minus 3.5 percentage points for registered voters and plus or minus 3.8 percentage points for the likely electorate. Among those who completed the full survey, the margin of sampling error is plus or minus 4 percentage points for registered voters and plus or minus 4.2 percentage points for the likely electorate.

Sample

The survey is a response rate-adjusted stratified sample of registered voters on the L2 voter file. The sample was selected by The New York Times in multiple steps to account for differential telephone coverage, nonresponse and significant variation in the productivity of telephone numbers by state.

First, records were selected by state. To adjust for noncoverage bias, the L2 voter file was stratified by statehouse district, party, race, gender, marital status, household size, turnout history, age and home ownership. The proportion of registrants with a telephone number and the mean expected response rate were calculated for each stratum. The mean expected response rate was based on a model of unit nonresponse in prior Times/Siena surveys. The initial selection weight was equal to the reciprocal of a stratum’s mean telephone coverage and modeled response rate. For respondents with multiple telephone numbers on the L2 file, the number with the highest modeled response rate was selected.

Advertisement

Second, state records were selected for the national sample. The number of records selected by state was based on a model of unit nonresponse in prior Times/Siena national surveys as a function of state (as a random effect), telephone number quality and other demographic and political characteristics. The state’s share of records was equal to the reciprocal of the mean response rate of the state’s records, divided by the national sum of the weights. In 12 states, the models of response were inadvertently fit using data that did not suppose that “dropoff” respondents – those who completed the questions used for weighting, but subsequently dropped out of the interview before answering the last question – would be counted as completed interviews for this survey. This was corrected with a post-hoc selection weight, described below in the weighting section.

Fielding

The sample was stratified according to political party, race and region and fielded by the Siena College Research Institute, with additional field work by ReconMR, the Public Opinion Research Laboratory at the University of North Florida and the Institute of Policy and Opinion Research at Roanoke College. Interviewers asked for the person named on the voter file and ended the interview if the intended respondent was not available. Overall, 94 percent of respondents were reached on a cellular telephone.

The instrument was translated into Spanish by ReconMR. Bilingual interviewers began the interview in English and were instructed to follow the lead of the respondent in determining whether to conduct the survey in English or Spanish. Monolingual Spanish-speaking respondents who were initially contacted by English-speaking interviewers were recontacted by Spanish-speaking interviewers. Overall, 3 percent of interviews among self-reported Hispanics were conducted in Spanish, including 4 percent of weighted interviews.

An interview was determined to be complete for the purposes of inclusion in the ballot test question if the respondent did not drop out of the survey by the end of the two self-reported variables used in weighting — age and education — and answered at least one of the age, education or presidential election ballot test questions.

Advertisement

Weighting — registered voters

The survey was weighted by The Times using the R survey package in multiple steps.

First, the sample was adjusted for unequal probability of selection by stratum, interacted by whether a respondent was from one of twelve states in which the sample was inadvertently drawn using response models that had been fit supposing that respondents who dropped off would not be counted as completed interviews.

Second, the sample was weighted to match voter file-based parameters for the characteristics of registered voters.

The following targets were used:

Advertisement

• Party (party registration if available, or else classification based on a model of vote choice in prior Times/Siena polls) by whether the respondent’s race is modeled as white or nonwhite (L2 model)

• Age (Self-reported age, or voter file age if the respondent refuses) by gender (L2)

• Race or ethnicity (L2 model)

• Education (four categories of self-reported education level, weighted to match NYT-based targets derived from Times/Siena polls, census data and the L2 voter file)

• White/non-white race by college or non-college educational attainment (L2 model of race weighted to match NYT-based targets for self-reported education)

Advertisement

• Marital status (L2 model)

• Home ownership (L2 model)

• National region (NYT classifications by state) by whether a state was among the 12 states drawn inadvertently supposing that only completed interviews would be classified as complete (See unequal selection weight for additional details).

• Turnout history (NYT classifications based on L2 data)

• Method of voting in the 2020 elections (NYT classifications based on L2 data)

Advertisement

• Metropolitan status (2013 NCHS Urban–Rural Classification Scheme for Counties)

• Census tract educational attainment (NYT classifications based on American Community Survey data)

Finally, the sample of respondents who completed all questions in the survey was weighted identically, as well as to the result for the general election horse race question (including leaners) on the full sample.

Weighting — likely electorate

The survey was weighted by The Times using the R survey package in multiple steps.

Advertisement

First, the samples were adjusted for unequal probability of selection by stratum.

Second, the first-stage weight was adjusted to account for the probability that a registrant would vote in the 2024 election, based on a model of turnout in the 2020 election.

Third, the sample was weighted to match targets for the composition of the likely electorate. The targets for the composition of the likely electorate were derived by aggregating the individual-level turnout estimates described in the previous step for registrants on the L2 voter file. The categories used in weighting were the same as those previously mentioned for registered voters.

Fourth, the initial likely electorate weight was adjusted to incorporate self-reported intention to vote intention. The final probability that a registrant would vote in the 2024 election was four-fifths based on their ex ante modeled turnout score and one-fifth based on their self-reported intentions, based on prior Times/Siena polls, including a penalty to account for the tendency of survey respondents to turn out at higher rates than nonrespondents. The final likely electorate weight was equal to the modeled electorate rake weight, multiplied by the final turnout probability and divided by the ex ante modeled turnout probability.

Finally, the sample of respondents who completed all questions in the survey was weighted identically, as well as to the result for the general election horse race question (including leaners) on the full sample.

Advertisement

The margin of error accounts for the survey’s design effect, a measure of the loss of statistical power due to survey design and weighting. The design effect for the full sample is 1.28 for registered voters and 1.45 for the likely electorate. The design effect for the sample of completed interviews is 1.35 for registered voters and 1.53 for the likely electorate.

Historically, The Times/Siena Poll’s error at the 95th percentile has been plus or minus 5.1 percentage points. Real-world error includes sources of error beyond sampling error, such as nonresponse bias and coverage error.

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

News

Map: 5.1-Magnitude Earthquake Strikes off the Coast of California

Published

on

Map: 5.1-Magnitude Earthquake Strikes off the Coast of California

Advertisement

Note: Map shows the area with a shake intensity of 3 or greater, which U.S.G.S. defines as “weak,” though the earthquake may be felt outside the areas shown.  All times on the map are Pacific time. The New York Times

Advertisement

A moderately strong, 5.1-magnitude earthquake struck in the North Pacific Ocean on Wednesday, according to the United States Geological Survey.

The temblor happened at 5:45 a.m. Pacific time about 40 miles west of Petrolia, Calif., data from the agency shows.

Advertisement

As seismologists review available data, they may revise the earthquake’s reported magnitude. Additional information collected about the earthquake may also prompt U.S.G.S. scientists to update the shake-severity map.

Advertisement
Advertisement

Aftershocks detected

Subsequent quakes have been reported in the same area. Such temblors are typically aftershocks caused by minor adjustments along the portion of a fault that slipped at the time of the initial earthquake.

Quakes and aftershocks within 100 miles

Advertisement

Aftershocks can occur days, weeks or even years after the first earthquake. These events can be of equal or larger magnitude to the initial earthquake, and they can continue to affect already damaged locations.

Advertisement

When quakes and aftershocks occurred

 All times are Pacific time. The New York Times

Advertisement

Sources: United States Geological Survey (epicenter, aftershocks, shake intensity); LandScan via Oak Ridge National Laboratory (population density) | Notes: Shaking categories are based on the Modified Mercalli Intensity scale. When aftershock data is available, the corresponding maps and charts include earthquakes within 100 miles and seven days of the initial quake. All times above are Pacific time. Shake data is as of Wednesday, June 3 at 6:03 a.m. Pacific time. Aftershocks data is as of Wednesday, June 3 at 8:01 a.m. Pacific time.

Advertisement

Continue Reading

News

California’s primary for governor is undecided as candidates vie to be in the top two

Published

on

California’s primary for governor is undecided as candidates vie to be in the top two

Xavier Becerra, Democratic gubernatorial candidate for California, and Steve Hilton, Republican gubernatorial candidate for California, shake hands while arriving for a gubernatorial debate at KRON Studios in San Francisco in April.

Jason Henry/Getty Images North America


hide caption

toggle caption

Advertisement

Jason Henry/Getty Images North America

SAN FRANCISCO — The primary election for California governor is too close to call, with vote counting continuing Wednesday. Democrat Xavier Becerra and Republican business executive Steve Hilton lead the field with Democrat Tom Steyer in third place.

In California’s unusual primary system, all candidates, regardless of party, appear on a single ballot open to any registered voter. The top two candidates then move on to the general election, even if they’re from the same party. This year, voters had 60 names for governor to choose from.

Advertisement

The winner will lead the country’s most populous state, where leaders often take on national political prominence. Incumbent Gov. Gavin Newsom is at his two-term limit and could be a Democratic contender for president.

Becerra, former Health and Human Services secretary under President Joe Biden, pitched himself to voters as an experienced political leader who isn’t afraid of President Trump, but his lead caps one of the most surprising and dramatic comebacks in recent state political history. As recently as April, polls were showing Becerra — also a former member of Congress and California attorney general — languishing in single digits in a crowded field.

In his remarks at his watch party in Los Angeles, Becerra noted his underdog status.

“Here in Hollywood’s hometown, we love a good underdog success story,” he said, drawing parallels between his campaign and his immigrant parents’ success story in California. “Guess what? The underdog stayed in the fight. Like my parents, I never gave up. Never stopped putting one foot in front of the other. Never stopped believing in the beacon-like goodness of California. And thankfully, neither did you.”

Hilton is a former Fox News commentator who also served as a political adviser to former British Prime Minister David Cameron. He was endorsed by President Trump in April, helping him to pull ahead of Riverside County Sheriff Chad Bianco, the other major Republican in the race. Hilton has campaigned on the idea that California needs change after 16 years under total Democratic control.

Advertisement

The race is narrowing down after a tumultuous campaign

At his watch party in Huntington Beach, the British-born candidate — who became an American citizen five years ago — said it was the “honor of his lifetime” to receive over 1 million votes so far.

“Change is coming to California and it’s long overdue,” Hilton said. “We’re not there yet, but it’s looking good. It looks very much as if Californians really will have the chance to vote for change in November and take our state in a new direction.”

Democratic billionaire activist Steyer spent more than $213 million of his own money to boost his candidacy and push a progressive, populist message. While he was trailing Becerra and Hilton on Tuesday night, he said at his watch party in San Francisco that he remains confident he can close the gap in the days ahead.

“Together, we’ve scared the hell out of the corporate interests used to getting their way,” Steyer said. “It might take some time to figure out where this is going. We’re going to wait until every ballot is counted. We’re gonna give democracy a time to work. And we know we finished really strong.”

The early results are not certain to hold, in part because of unusual voting patterns in this primary election: Ballot-tracking data heading into Tuesday evening showed that Republicans were more likely to vote early by mail, while Democratic voters in this deep-blue state held onto their mail-in ballots or chose to vote in person. That’s the reverse of recent elections, which saw more Democrats voting by mail and Republicans tending to vote in person on Election Day.

Advertisement

The uncertainty on election night capped a race that remained crowded and unsettled to the end. To some extent, the race was defined by who wasn’t running.

Some of the state’s most high-profile Democrats — former Vice President Kamala Harris, U.S. Sen. Alex Padilla and California Attorney General Rob Bonta — all passed on a potential bid to succeed Newsom.

The race was disrupted in April when then-U.S. Rep. Eric Swalwell’s campaign for governor imploded amid allegations of sexual assault and harassment. Swalwell resigned from Congress shortly after the accusations surfaced and has denied assault allegations.

Swalwell had been gaining in polls and racking up high-profile endorsements, and his exit seemed to primarily benefit Becerra, who had been stuck in single digits in many polls. Ultimately, it quieted fears among Democrats who worried that the messy Democratic field could result in Bianco and Hilton winning the top spots in the June primary.

Marisa Lagos covers California politics at KQED and co-hosts the Political Breakdown show and podcast.

Advertisement
Continue Reading

News

Supreme Court reinstates Republican-favored Alabama congressional districts

Published

on

Supreme Court reinstates Republican-favored Alabama congressional districts

The U.S. Supreme Court

Tasos Katopodis/Getty Images


hide caption

toggle caption

Advertisement

Tasos Katopodis/Getty Images

The Supreme Court on Tuesday cleared the way for Alabama to use a congressional district map favored by Republicans.

The court, in an unsigned order, overturned a three-judge district court panel that found that the map is “tainted by intentional race-based discrimination.” The court’s three liberals publicly dissented.

The ruling means that Alabama’s 2026 midterm elections will feature six Republican-leaning districts and one Democratic-leaning one, as opposed to a map with only five safe Republican seats. Democrat Shomari Figures, who represents Alabama’s Second District, will likely lose his seat as a result of the high court’s ruling.

Advertisement

The story of Alabama’s congressional map is long and tortured. It began in 2021, when the state implemented a new map to account for population changes in the census. The map featured only one majority-black district out of seven, even though the state is more than one-quarter Black.

Voters immediately sued, claiming the map illegally diluted minority votes in violation of the Voting Rights Act and the Constitution. Lower court judges agreed, ruling that the state must draw a map with two districts where Black voters have a realistic chance of electing their candidate of choice. The Supreme Court more than once has ordered Alabama to draw a compliant map.

But the state has refused and instead continued to litigate the case. On Tuesday, that tactic paid off.

What changed? In April, the Supreme Court’s conservative supermajority all but gutted what remains of the Voting Rights Act, ruling that states cannot purposefully draw districts that are majority-minority.

Alabama then asked the high court to reinstate the state’s old map, under the theory that this new ruling meant that it was permissible to use a map with only one majority-Black district. In an unsigned, unexplained order in May, the high court essentially reversed its previous opinions, and allowed Alabama to use the old map for the upcoming midterm elections.

Advertisement

This set off a flurry of activity in Alabama. By the time the Supreme Court issued its May order, absentee balloting had already begun, using the court-drawn map. So Republican Governor Kay Ivey cancelled elections and scheduled a special primary for August for the affected congressional races.

The case, however, was not over.

In its ruling, the Supreme Court had ordered a lower court panel to continue evaluating Alabama’s map in light of its recent Voting Rights Act decision. And just 15 days after that order, the panel, composed of three Republican judges—two of them Trump appointees—concluded unanimously that even under the Supreme Court’s new standards, the plan for a single black district was “intentionally discriminatory.”

So, once again, Alabama returned to the Supreme Court, arguing that the map was partisan, not racially discriminatory. In short, that the Republican legislature simply drew the map to elect more Republicans. And that under the Supreme Court’s new interpretation of the Voting Rights Act, the GOP map should be allowed to stand.

The court’s conservative agreed, writing that the lower court “did not heed the presumption of legislative good faith.”

Advertisement

The court’s three liberals publicly dissented, castigating the conservative majority for failing to abide by its 2006 decision in the case of Purcell v. Gonzalez. That decision declared that courts should not change election rules too close to an election.

Justice Sonia Sotomayor, in her dissent, said the court “debases the democratic process” and “corrodes the rule of law by rewarding Alabama’s gamesmanship and outright defiance of court orders.”

Tuesday’s decision is the latest in a series of Supreme Court rulings that could well reshape the 2026 midterm elections, making it much harder for Democrats to prevail.

Continue Reading
Advertisement

Trending