Updates to HRS Sample Weights
Open accessAbstract
http://deepblue.lib.umich.edu/bitstream/2027.42/195759/1/dr-013.pdf
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All analyses were weighted according to age, race/ethnicity, education, and state in the US population to account for unequal sampling.
“All analyses were weighted according to age, race/ethnicity, education, and state in the US population to account for unequal sampling [33].”
From Difference in predictors and barriers to arts and cultural engagement with age in the United States: A cross-sectional analysis using the Health and Retirement Study (2021) · cites this paper as [33]
The Overview of Sample Design and Sample Weights (page not specified) says HRS weights account for unequal selection probabilities and describes post-stratification by age and race/ethnicity. It does not identify education or state as weighting factors; it instead mentions gender and geographic adjustment by primary sampling unit. The source also cannot establish that the citing authors weighted all their analyses. (LLM, conf=0.88)
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Cited by
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Yang, Y. C., Li, T., & Ji, Y. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1210 · Cited by 68 · see citing works
Fluharty, M., Paul, E., Bone, J., Bu, F., Sonke, J., & Fancourt, D. (2021) · PLOS ONE · doi:10.1371/journal.pone.0261532 · Cited by 28 · see citing works
- Authors
- Ofstedal, M. B., Weir, D., & Chen, K.-T. (.
- Affiliations
- University of Michigan (US)
- Published
- 2011
- OpenAlex
- W4240321840
- Cited by
- 80
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 10 · 2023: 4 · 2022: 10 · 2021: 10 · 2020: 9 · 2019: 8 · 2018: 3 · 2017: 4 · 2016: 3 · 2014: 7 · 2013: 5
- Type
- report
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Deep Blue (University of Michigan) (submittedVersion)
- University of Michigan Library
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Keywords
- Health and Retirement Study, sampling weights, survey weighting
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