Survey Weights: A Step-by-Step Guide to Calculation, by Richard Valliant and Jill Dever, is an excellent reference for survey data analysts and researchers. This book details the reasons for weighting and shows how to perform different weight-adjustment methods in Stata.
Topics covered include nonresponse, weight adjustment and calibration, linearized and replication-based variance estimation, multiple weights, two-phase sampling, composite estimation, and quality control when computing your own survey weights.
The authors assume familiarity with Stata and some applied sampling experience and knowledge of “lite” theory, such as the concepts of with-replacement versus without-replacement sampling and single- versus multistage designs.
© Copyright 1996–2023 StataCorp LLC
List of figures
Preface (PDF)
Glossary of acronyms
1.2 Probability sampling versus nonprobability sampling
1.3 Theories of population inference
1.4 Techniques used in probability sampling
1.5 Weighting versus imputation
1.6 Disposition codes
1.7 Flowchart of the weighting steps
2.2 Adjustments for unknown eligibility
3.2 Propensity score adjustments
3.3 Tree-based algorithms
3.3.2 Random forests
3.3.3 Boosting
3.4 Nonresponse in multistage designs
4.2 Raking estimators
4.3 More general calibration estimation
4.4 Calibration to sample estimates
4.5 Weight variability
5.2 The with-replacement workaround
5.3 Linearization variances
5.4 Replication variances
5.4.2 Balanced repeated replication
5.4.3 Bootstrap
5.4.4 Grouping PSUs to form replicates
5.5 Effects of multiple weight adjustments
6.2 Weighting nonprobability samples
6.3 Variance estimation for nonprobability surveys
6.4 Bayesian approaches
6.5 Some general comments
7.2 Multiple weights
7.3 Two-phase sampling
7.4 Composite weights
7.5 Masked strata and PSU IDs
7.6 Use of weights in fitting models
7.6.2 Testing whether to use weights
8.2 Base weights
8.3 Data editing and file preparation
8.4 Models for nonresponse and calibration
8.5 Calibration totals
8.6 Weighting checks
8.7 Analytic checks
8.8 Analysis file and documentation
© Copyright 1996–2023 StataCorp LLC
