Archival Version

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.HRMS权重基于当前人口调查（Current Population Survey）、美国社区调查（American Community Survey）与皮尤西班牙裔中心调查（Pew Hispanic Center Survey）的基准数据，既反映了从知识面板（KnowledgePanel）中抽取样本的概率，也体现了针对美国非老年成年人特征开展事后分层（post-stratification）调整的权重依据。用于知识面板事后分层加权以及HRMS事后分层加权的变量涵盖性别、年龄、种族与族裔、主要语言、受教育程度、家庭子女状况、家庭总收入、家庭收入占联邦贫困线（Federal Poverty Level, FPL）的比例、自有住房状况、互联网接入情况、城乡属性、州分组以及普查区域。2017年1月，由于用于构建事后分层权重基准的当前人口调查互联网接入相关问题发生变更，HRMS所有轮次的数据均重新进行了加权处理。数据文件中同时包含新旧两类权重变量。