PRRI and RNS August 2016 Religion Survey
SummaryThe PRRI/RNS August 2016 Religion Survey explores why Americans are disaffiliating from religion. This survey was designed and conducted by Public Religion Research Institute in partnership with Religion News Service. The survey includes an oversample of religiously unaffiliated Americans. It explores the reasons why unaffiliated Americans who were raised in a religion left, with questions about whether negative teachings about gay and lesbian people, the clergy sex abuse scandal, or bringing politics into church were important factors. The survey examines public attitudes toward organized religion, such as whether religion causes more problems than it solves and if children need to be brought up in religion to have good values. It also gauges whether unaffiliated Americans are currently looking to join a religious community. Finally, the survey measures belief about God, including the degree of doubt about God's existence and perceptions of God as a personal or impersonal force.
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Data FileCases: 2201
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 demo-graphics 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 January-September 2014 National Health Interview Survey. All other weighting parameters are derived from an analysis of the U.S. Census Bureau's May 2015 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 +/- 2.5 percentage points at the 95 percent 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.