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Mendeley Data2024-03-27 更新2024-06-28 收录
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https://www.icpsr.umich.edu/web/HMCA/studies/36744
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The HRMS weights reflect the probability of sample selection from the KnowledgePanel and post-stratification to the characteristics of nonelderly adults in the United States based on benchmarks from the Current Population Survey, American Community Survey, and Pew Hispanic Center Survey. Variables used in the post-stratification weighting of the KnowledgePanel and the post stratification weighting of the HRMS include sex, age, race and ethnicity, primary language, education, presence of children in households, household income, family income as a percentage of FPL, homeownership status, internet access, urban or rural status, state group, and census region. In January 2017, all rounds of the HRMS were reweighted due to a change in the Current Population Survey question on Internet access that was being used to create benchmarks for the construction of the post stratification weights. The new weight variable is included in the data file together with the old weight variable.
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2023-06-28
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