PRRI August 2017 Survey
SummaryThe Public Religion Research Institute (PRRI) August 2017 Survey, which was conducted via telephone interviews of a random sample of 2,024 adults living in the United States, studies public views on issues regarding politics and social problems, including favor of political leaders, attitudes regarding the United States' relationship with Russia, the performance of Republicans and Democrats, and thoughts on healthcare coverage, immigration, and public accommodations for lesbian, gay, bisexual, and transgender (LGBT) individuals.
The ARDA has added six additional variables to the original data set to enhance the users' experience on our site.
Data FileCases: 2024
Weight Variable: WEIGHT
The weighting is accomplished in two separate stages. The first stage of weighting corrects for different probabilities of selection associated with the number of adults in each household and each respondent's telephone usage patterns. In the second stage, sample demographics are balanced to match target population parameters for gender, age, education, race and Hispanic ethnicity, region (U.S. Census definitions), population density and telephone usage. The population density parameter was derived from Census 2010 data. The telephone usage parameter came from an analysis of the July-December 2016 National Health Interview Survey. All other weighting parameters are derived from an analysis of the U.S. Census Bureau's May 2016 Current Population Survey.
The sample weighting is accomplished using an iterative proportional fitting (IFP) process that simultaneously balances the distributions of all variables. Weights were trimmed to prevent individual interviews from having too much influence on the final results. The use of these weights in statistical analysis ensures that the demographic characteristics of the sample closely approximate the demographic characteristics of the target populations.
The margin of error for the survey is +/- 2.7 percentage points at the 95% level of confidence. The design effect for the survey is 1.5. In addition to sampling error, surveys may also be subject to error or bias due to question wording, context and order effects.