PRRI/RNS Religion News Survey, September 2011

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Jones, R. P., & Cox, D. (2020, April 25). PRRI-RNS Religion News Survey, September 2011.
The PRRI/RNS Religion News Survey was conducted by Public Religion Research Institute to examine attitudes on breaking news and emerging issues at the intersection of religion and politics. This survey investigated opinions about evolution and the causes of climate change. Questions assessed the degree to which respondents believe that humans evolved over time, think that a supreme being played a role in evolution, and agree that climate change was caused by human activity. The survey also examined the degree to which candidate views on these issues would affect voter preferences.
Data File
Cases: 1,013
Variables: 75
Weight Variable: WEIGHT
Data Collection
Date Collected: September 14-18, 2011
Original Survey (Instrument)
Public Religion Research Institute September 2011 Questionnaire
Funded By
Public Religion Research Institute
Collection Procedures
Telephone interviews were conducted by professional interviewers under the direction of Social Science Research Solutions among a national sample of 1,013 adults, 18 years of age or older in the continental United States. Interviews were conducted from September 14, 2011 to September 18, 2011. Interviews were conducted in English and Spanish on both landline telephones and cellular telephones (N=301). The randomly sampled telephone numbers were subject to up to four different call attempts.
Sampling Procedures
The sample derived by an unrestricted random-digit dial procedure, which minimizes serial bias and includes both listed and unlisted telephone numbers. Only one interview is conducted within an individual household. The sample is fully replicated and stratified by region to increase its representativeness.
Principal Investigators
Robert P. Jones and Daniel Cox
Related Publications
A summary of the Public Religon Research Institute's findings is available here.
Notes on Weighted Data
The final sample was weighted to six different parameters-age, race, sex, geographic region, education, and telephone usage-to ensure reliable and accurate representation of the total adult population.
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