Democratizing access to the best data on religion since 1997

Archive Navigation

View Question Bank

Archive Categories

Sort the above Archive Category by:

Browse Alphabetically
Browse All Categories
Browse Newest Additions

File Summaries

Search Data Archive

Religion and Public Life Survey, 2010




The survey is a joint effort of the Pew Research Center for the People & the Press and the Pew Forum on Religion & Public Life. Conducted in July and August of 2010, it examined Americans' attitudes toward a wide range of topics related to religion and public life. Special topics included Barack Obama's religion, the religious right and left, the Tea Party movement, immigration, same-sex marriage, and the influence of religion in politics. The survey also contained a range of items on respondents' religious and political preferences and behavior.

The ARDA has added six additional variables to the original data set to enhance the users' experience on our site.

Data File

Cases: 3003
Variables: 152

LLWEIGHT is applied to the landline random digit dialing (RDD) sample only. COWEIGHT is the weight for the landline RDD sample and the cell-only cases combined; cases from the cell phone RDD sample that reported having a landline phone are excluded. WEIGHT is the weight for the combined sample of all landline and cell phone interviews.

Data Collection

July 21 to August 5, 2010

Funded By

Pew Research Center for the People & the Press
Pew Forum on Religion & Public Life

Collection Procedures

The July/August 2010 Religion and Public Life Survey, sponsored by the Pew Forum on Religion & Public Life, obtained telephone interviews with a nationally representative sample of 3,003 adults living in the continental United States. Telephone interviews were conducted by landline (2,002) and cell phone (1,001 including 431 without a landline phone). The survey was conducted by Princeton Survey Research International (PSRAI). Interviews were done in English and Spanish by Princeton Data Source from July 21 to August 5, 2010. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is +/-2.1 percentage points.

Interviews were conducted from July 21 to August 5, 2010. As many as 7 attempts were made to contact every sampled telephone number. Sample was released for interviewing in replicates, which are representative subsamples of the larger sample. Using replicates to control the release of sample ensures that complete call procedures are followed for the entire sample. Calls were staggered over times of day and days of the week to maximize the chance of making contact with potential respondents. Each phone number received at least one daytime call. For the landline sample, interviewers asked to speak with the youngest adult male or female currently at home based on a random rotation. If no male/female was available, interviewers asked to speak with the youngest adult of the other gender. For the cellular sample, interviews were conducted with the person who answered the phone. Interviewers verified that the person was an adult and in a safe place before administering the survey. Cellular sample respondents were offered a post-paid cash incentive for their participation. Response rates are computed according to AAPOR definition 3. Thus the response rate for the land line samples was 15 percent. The response rate for the cellular samples was 12 percent.

Sampling Procedures

A combination of landline and cellular random digit dial (RDD) samples was used to represent all adults in the continental United States who have access to either a landline or cellular telephone. Both samples were provided by Survey Sampling International, LLC (SSI) according to PSRAI specifications. Numbers for the landline sample were drawn with equal probabilities from active blocks (area code + exchange + two-digit block number) that contained three or more residential directory listings. The cellular sample was not list-assisted, but was drawn through a systematic sampling from dedicated wireless 100-blocks and shared service 100-blocks with no directory-listed landline numbers.

Principal Investigators

The Pew Research Center for the People and the Press and the Pew Forum on Religion and Public Life

Related Publications

The following reports were prepared using data from the 2010 Religion and Public Life Survey:

"Few Say Religion Shapes Immigration, Environment Views," September 17, 2010.
"Growing Number of Americans Say Obama is a Muslim," August 19, 2010.

Weighting and Analysis

Weighting is generally used in survey analysis to compensate for sample designs and patterns of non-response that might bias results. A two-stage weighting procedure was used to weight this dual-frame sample. The first stage weight is the product of two adjustments made to the data - a Probability of Selection Adjustment (PSA) and a Phone Use Adjustment (PUA). The PSA corrects for the fact that respondents in the landline sample have different probabilities of being sampled depending on how many adults live in the household. Since we only sample one person per household, adults who live with no other adults have a greater chance of being sampled than adults who live in multiple-adult households. The PUA corrects for the overlapping landline and cellular sample frames. The second stage of weighting balances sample demographics to population parameters. The sample is balanced - by form - to match national population parameters for sex, age, education, race, Hispanic origin, region (U.S. Census definitions), population density, and telephone usage. The White, non-Hispanic subgroup is also balanced on age, education and region. The basic weighting parameters came from a special analysis of the Census Bureau's 2009 Annual Social and Economic Supplement (ASEC) that included all households in the continental United States. The population density parameter was derived from Census 2000 data. The cell phone usage parameter came from an analysis of the July-December 2009 National Health Interview Survey. Weighting was accomplished using Sample Balancing, a special iterative sample weighting program that simultaneously balances the distributions of all variables using a statistical technique called the Deming Algorithm. 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 national population.

Our Sponsors

Our Affiliates

© 2024 The Association of Religion Data Archives. All rights reserved.