Methods for Conducting Nonresponse Bias Analysis (NRBA)
Assess the range of possible bias based on specified assumptions about...
Calculate Response Rates
Test the independence of survey response and auxiliary variables
Test of differences in survey percentages relative to external estimat...
Calculate cumulative estimates of a mean/proportion
Summarize the variance estimation method for the survey design
nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA)
Pipe operator
Fit a regression model to predict survey outcomes
Fit a logistic regression model to predict response to the survey.
Re-weight data to match population benchmarks, using raking or post-st...
Select and fit a model using stepwise regression
t-test of differences in means/percentages between responding sample a...
t-test of differences in estimated means/percentages from two differen...
Test for differences in means/percentages between two potentially over...
t-test of differences in means/percentages relative to external estima...
Adjust weights in a replicate design for nonresponse or unknown eligib...
Facilitates nonresponse bias analysis (NRBA) for survey data. Such data may arise from a complex sampling design with features such as stratification, clustering, or unequal probabilities of selection. Multiple types of analyses may be conducted: comparisons of response rates across subgroups; comparisons of estimates before and after weighting adjustments; comparisons of sample-based estimates to external population totals; tests of systematic differences in covariate means between respondents and full samples; tests of independence between response status and covariates; and modeling of outcomes and response status as a function of covariates. Extensive documentation and references are provided for each type of analysis. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview of the methods implemented in this package.