nrba-package

nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA)

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. package

Author(s)

Maintainer : Ben Schneider BenjaminSchneider@westat.com (ORCID)

Authors:

• Jim Green JimGreen@westat.com
• Shelley Brock ShelleyBrock@westat.com (Author of original SAS macro, WesNRBA)
• Tom Krenzke TomKrenzke@westat.com (Author of original SAS macro, WesNRBA)
• Michael Jones MichaelJones@westat.com (Author of original SAS macro, WesNRBA)
• Wendy Van de Kerckhove (Author of original SAS macro, WesNRBA)
• David Ferraro (Author of original SAS macro, WesNRBA)
• Laura Alvarez-Rojas (Author of original SAS macro, WesNRBA)
• Katie Hubbell KatieHubbell@westat.com (Author of original SAS macro, WesNRBA)

Other contributors:

• Westat [copyright holder]