A Practical Guide To Survey Weighting
Richard Valliant
November 12th, 2019

Please join us for the conclusion of the 2019 PDHP workshop series, as Richard Valliant (University of Michigan & University of Maryland Joint Program in Survey Methodology) presents “A Practical Guide To Survey Weighting“. This workshop will present a comprehensive guide to the design and creation of survey weights, including sampling weights, nonresponse adjustment, and calibration, as well as approaches for weighting non-probability samples.
Additional topics include:
- Stochastic missingness & nonresponse adjustment.
- Calibration techniques including poststratification, raking, and GREG
- Demonstration and hands-on practice using R and Stata.
Slides & Lab Materials:
–Slides are available for download here
–A zip file containing sample data, and all R and Stata code used in the workshop is available here
Software:
All computing techniques demonstrated in this workshop will be mirrored in both R and
Stata.
R Users:
–R software (required)
-The lab uses 4 R packages (sampling, doBy, survey, and PracTools) which can be installed using the code below:
## install packages
install.packages(c("sampling","doBy","survey","PracTools"))
Stata Users:
–Base Stata only with no special installs required