Evaluating the Effect of Dependent Interviewing on the Quality of Measures of Change
Evaluating the Effect of Dependent Interviewing on the Quality of Measures of Change
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评估相关访谈对变革衡量标准质量的影响
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Gerty J. L. M. Lensvelt
中科院分区：
文献类型：
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作者：
P. Lugtig;Gerty J. L. M. Lensvelt
相关访谈（DI）使用面板调查中早期浪潮的受访者数据，以提高变化估计的数据质量。除了通过减少对变化的高估对数据质量产生积极影响外，DI还可能对数据质量产生负面影响，因为它会导致令人满意和高估波之间的稳定性。在这篇文章中，我们实验测试两个常用的DI设计下不同水平的测量误差。我们的数据包括在荷兰进行的四波小组调查的收入报告。我们的实验对数据质量的影响是仿照一个准单纯形结构，使方差分解成测量误差和真正的变化。我们的主要结论是，主动DI对数据质量有一定的负面影响，但对反应性DI没有负面影响。
Dependent interviewing (DI) uses respondent data from earlier waves in panel surveys to improve the data quality of change estimates. Apart from a positive effect on data quality through reducing overestimations of change, DI could also affect data quality negatively when it leads to satisficing and an overestimation of stability between waves. In this article, we experimentally test two frequently used DI designs under different levels of measurement error. Our data consist of income reports from a four-wave panel survey conducted in the Netherlands. The effects of our experiment on data quality are modeled with a quasi-simplex structure to enable the decomposition of variances into measurement errors and true change. Our main conclusion is that there is some risk of a negative effect on data quality for proactive DI but not for reactive DI.