Religion, Values and Immigration Reform Survey, 2013
DOI
10.17605/OSF.IO/2J9N7Citation
Jones, R. P., & Cox, D. (2021, September 28). Religion, Values and Immigration Reform Survey, 2013.Summary
In February 2013, Public Religion Research Institute (PRRI), in partnership with the Brookings Institution, conducted one of the largest surveys ever fielded on immigration policy, immigrants and religious and cultural changes in the U.S. The survey of nearly 4,500 American adults explores the many divisions - political, religious, ethnic, geographical and generational - within the nation over core values and their relationship to immigration. The new survey also tracks key questions from surveys conducted by PRRI in 2010-2011.The ARDA has added seven additional variables to the original data set to enhance the users' experience on our site.
Data File
Cases: 4465Variables: 111
Weight Variable: WEIGHT
The weighting was accomplished in two stages. The first stage of weighting corrected 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 were balanced by form 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-June 2012 National Health Interview Survey. All other weighting parameters were derived from an analysis of the U.S. Census Bureau's 2011 American Community Survey.
The sample weighting was accomplished using Sample Balancing, a special iterative sample-weighting program 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.