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Estimation of Response Propensities Using the Previous Survey

机译:使用先前的调查估计响应倾向

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Many surveys are carried out yearly, and the implementation of the surveys remains the same from year to year. Experience from a previous survey is useful when planning a new survey, because the response behavior usually remains quite the same in subsequent years. This paper studies how response propensities, estimated using the dataset of the previous survey, predict actual response rates. In this study, two consecutive datasets of the European Social Survey were available. The both datasets contained same register variables. Response propensities were estimated to the older dataset using a logistic regression model. Then the propensities were imputed to the newer dataset using a donor-recipient method. The imputation was based on the explanatory variables of the logistic regression model so that the donor and the recipient had the same values in the variables. Then it was examined if there was a connection between the imputed response propensities and actual response rates. The result was that the imputed response propensities predicted the response behavior quite well. People with low response propensities were often nonrespondents, and people with high response propensities were often respondents. Using the previous survey, it is possible to calculate response propensities for a new sample before the data collection of the survey has been started. Then challenging respondents are known before the data collection, and this information is useful for data collection.
机译:许多调查每年进行一次,并且每年的调查实施情况保持不变。在计划新调查时,前一次调查的经验会很有用,因为在接下来的几年中,响应行为通常保持完全相同。本文研究使用先前调查的数据集估算的响应倾向如何预测实际响应率。在这项研究中,可获得欧洲社会调查的两个连续数据集。这两个数据集包含相同的寄存器变量。使用逻辑回归模型估计对较旧数据集的响应倾向。然后使用捐赠者-接收者方法将倾向性推算到较新的数据集中。归因基于逻辑回归模型的解释变量,因此供者和受者在变量中具有相同的值。然后检查推定的响应倾向与实际响应率之间是否存在联系。结果是推定的响应倾向很好地预测了响应行为。具有低响应倾向的人通常是无应答者,而具有高响应倾向的人通常是应答者。使用以前的调查,可以在开始调查的数据收集之前计算新样本的响应倾向。然后,在收集数据之前就知道了具有挑战性的受访者,这些信息对于收集数据很有用。

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