PRRI March 2018 Abortion and Contraception Survey
DOI
10.17605/OSF.IO/D9B3ESummary
The PRRI March 2018 Survey includes a number of abortion-related questions about respondents' preferences on the legality of abortion, whether certain types of services should be provided to low-income women through programs like Medicaid, their personal experience with abortion, the level of importance they place on abortion as a political issue, and the accessibility of abortion services in their community. Also included are a number of LGBT-related issues and their stances on non-discrimination laws, same-sex marriage, and religiously based service refusals. Finally, the survey gauges opinions on what issues the Trump administration should prioritize and views of Trump.The ARDA has added five additional variables to the original data set to enhance the users' experience on our site.
Data File
Cases: 2020Variables: 109
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 +/- 2.6 percentage points at the 95% level of confidence. The design effect for the survey is 1.4. In addition to sampling error, surveys may also be subject to error or bias due to question wording, context and order effects.