PRRI 2017 Kids' Wellbeing Survey
SummaryThe Public Religion Research Institute's (PRRI) 2017 Kids' Wellbeing Survey, which includes an oversample of people from the Southeast and Southwest, studies public views on policies that impact America's youth, including beliefs about the importance of helping underprivileged youth succeed. It looks at optimism about the country's future, concern about opportunities for success, and barriers to achieving success across racial and ethnic backgrounds, socioeconomic groups, and immigration status. The survey also probes attitudes toward the criminal justice system, including whether judges should consider the impact of sentencing and prison-assignment decisions on children and families and how the system should deal with crime committed by young people. It asks questions about child welfare policies and the extent to which the government is responsible for addressing and resolving problems facing American children and families.
The ARDA has added five additional variables to the original data set to enhance the users' experience on our site.
Data FileCases: 3455
Weight Variable: WEIGHT
The weighting was accomplished in two separate stages. First, panel base weights were calculated for every household based on the probability of selection from the NORC National Frame, the sampling frame that was used to sample housing units for AmeriSpeak. Household level weights were then assigned to each eligible adult in every recruited household. In the second stage, sample demographics were balanced to match target population parameters for gender, age, education, race and Hispanic ethnicity, and division (U.S. Census definitions), housing type, and telephone usage. The telephone usage parameter came from an analysis of the National Health Interview Survey. All other weighting parameters are derived from an analysis of the U.S. Census Bureau's Current Population Survey.
The sample weighting was accomplished using an iterative proportional fitting 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% level of confidence. The design effect for the survey is 2.3. In addition to sampling error, surveys may also be subject to error or bias due to question wording, context and order effects.