在比利时健康访谈调查中使用现场替代的时间趋势。

Stefaan Demarest, Geert Molenberghs, Finaba Berete, Rana Charafeddine, Herman Van Oyen, Guido Van Hal
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引用次数: 0

摘要

背景:比利时健康访谈调查(BHIS)从第一轮开始就采用匹配场替代法。在数据收集过程中,如果需要,替代家庭最多可替换七次不参与的家庭。在本文中,评估了六轮BHIS(1997-2018)中大田替代的使用情况。我们调查了油田替代在多大程度上有助于获得所要求的净样本量,以及这是否在后续的BHIS中不断发展。方法:在整个数据收集阶段收集的统一准数据用于定义可以联系的所有家庭参与调查的最终参与状态。计算了替代家庭的比例,并利用逻辑回归评估了在连续调查中使用实地替代的可能趋势。最后,使用SAS程序NLMIXED中的ESTIMATE语句,研究了田间替代的应用是否会根据参与家庭在集群中的位置而变化。结果:总体而言,十分之四的参与家庭是替代家庭。这一比例在调查中仍然相当相似。在初始选择的聚类中,处于第一位置的家庭参与聚类的概率明显要高得多。在调查期间,来自替代集群的参与家庭在参与家庭总数中的份额略有增加。结论:在BHIS中,现场替代在获得所需净样品的大小和组成方面都起着非常重要的作用。在BHIS中应用的领域替代可能会激励科学家在开发他们的调查时考虑它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Time trends in the use of field-substitution in the Belgian health interview survey.

Time trends in the use of field-substitution in the Belgian health interview survey.

Background: Matched field-substitution has been applied in the Belgian Health Interview Survey (BHIS) since the first round. During data-collection, non-participating households are replaced by substitute households, if needed up to seven times. In this manuscript, the use of field-substitution in the six rounds of BHIS (1997-2018) is assessed. We investigated to what extent field-substitution contributes to obtaining the requested net-sample size and whether this has evolved throughout the successive BHIS's.

Methods: Harmonized para-data gathered throughout de data-collection phases are used to define the final participation status of all households that could be contacted for participation to the survey. The share of the substituted households was calculated and possible trends in the use of field-substitution throughout the successive surveys was assessed using logistic regression. Finally, it was examined whether the application of field-substitution changed in terms of the position of the participating household in the clusters, using the ESTIMATE statement in the SAS procedure NLMIXED.

Results: Overall, four in ten participating households are substitute households. This proportion remains rather similar over the surveys. The probability of participating according to the position of the household within the cluster is evidently much higher in households at the first position of initial selected clusters. Over the survey-years, the share of participating household derived from substitute clusters in the total number of participating households has slightly increased.

Conclusion: Field-substitution in BHIS plays a very substantial role in obtaining the requested net sample both in size and composition. Field-substitution, as applied in BHIS might inspire scientists to consider it when developing their surveys.

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