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Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice

机译:英国三项社会调查中数据收集过程中的数据集代表性:概括性和辅助协变量选择的影响

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摘要

We consider the use of representativeness indicators to monitor risks of non-response bias during survey data collection. The analysis benefits from use of a unique data set linking call record paradata from three UK social surveys to census auxiliary attribute information on sample households. We investigate the utility of census information for this purpose and the performance of representativeness indicators (the R-indicator and the coefficient of variation of response propensities) in monitoring representativeness over call records. We also investigate the extent and effects of misspecification of auxiliary covariate sets used in indicator computation and design phase capacity points in call records beyond which survey data set improvements are minimal, and whether such points are generalizable across surveys. Given our findings, we then offer guidance to survey practitioners on the use of such methods and implications for optimizing data collection and efficiency savings.
机译:我们考虑使用代表性指标来监视调查数据收集过程中无答复偏见的风险。该分析得益于使用独特的数据集,该数据集将来自三项英国社会调查的通话记录参数数据链接到人口普查样本家庭的辅助属性信息。我们调查普查信息用于此目的的效用以及代表性指标(R指标和响应倾向的变异系数)在监视通话记录中的代表性方面的性能。我们还研究了用于呼叫记录中指标计算和设计阶段能力点的辅助协变量集错误指定的程度和影响,在这些点之外,调查数据集的改进很小,并且这些点是否可以在整个调查中推广。根据我们的发现,我们然后向调查从业人员提供指导,指导他们使用这种方法以及优化数据收集和效率节省的含义。

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