NEW UNIVERSITY OF SOUTHERN CALIFORNIA DORNSIFE COLLEGE OF LETTERS, ARTS AND SCIENCES/LOS ANGELES TIMES POLL

Wednesday, November 2nd, 2016

On behalf of the University of Southern California Dornsife College of Letters, Arts and Sciences and the Los Angeles Times, Greenberg Quinlan Rosner Research, in conjunction with American Viewpoint, conducted a new survey among 1,500 registered California voters.

FULL DATA


ARTICLES


METHODOLOGY

Greenberg Quinlan Rosner Research, in conjunction with American Viewpoint, conducted this survey on behalf of the University of Southern California Dornsife College of Letters, Arts and Sciences and the Los Angeles Times. These findings are based on a random sample survey of 1,500 (1,500 weighted) registered voters in the state of California, conducted from October 22-30, 2016. Interviews were conducted by telephone using live interviewers from Survey Sampling International, LLC. Voters were randomly selected from a list of registered voters statewide and reached on a landline or cell phone depending on the number they designated on their voter registration. Fifty-five percent of this sample was reached on a cell phone. Up to five attempts were made to reach and interview each randomly selected voter.

The study includes an oversample of 400 known-Latino registered voters, with the total number of Latino voters interviewed at 487 (373 weighted). All interviews among known Latinos were carried out via telephone by bilingual Latino interviewers, and conducted in the preferred language of the survey respondent, English or Spanish. Overall, 33 percent of interviews among the known Latino sample were conducted in Spanish and 67 percent in English. The technique of using fully bilingual interviewers yields higher response and cooperation rates and is greatly preferred because it does not terminate calls with Spanish-language households and require a callback.

Upon completion of all interviewing, the results were weighted to bring the Latino oversample population into line with the racial and ethnic composition of registered voters in California. The data was weighted to reflect the total population of registered voters throughout the state, balancing on regional and demographic characteristics for gender, age, race, and party registration according to known census estimates and voter file projections from several distinct voter files.

The maximum sampling error for the overall sample of 1,500 registered voters is +/- 2.3 percentage points at the 95 percent confidence level. The margin of error for subgroups is higher. The margin of error for Latinos is +/- 4.6 percentage points at the 95 percent confidence level.

This study includes a subsample of 1,382 Likely Voters (1,365 weighted). “Likely Voters” include those who have (1) voted in the last two general elections and report being “almost certain”, “probably”, or “50/50” in their likelihood of vote in Q.8; (2) those who have voted in at least one of the last two general elections and report being “almost certain” or “probably” in their likelihood to vote; (3) those who have not voted in either of the past two general elections but report they are “almost certain” in their likelihood to vote; or (4) those who report having already voted in the 2016 general election. The margin of error for these “Likely Voters” is +/- 2.4 percentage points at the 95 percent confidence level.