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Considering interviewer and design effects when planning sample sizes

机译：考虑计划员和规划样本尺寸时的设计效果

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摘要

Selecting the right sample size is central to ensure the quality of a survey. The state of the art is to account for complex sampling designs by calculating effective sample sizes. These effective sample sizes are determined using the design effect of central variables of interest. However, in face-to-face surveys empirical estimates of design effects are often suspected to be conflated with the impact of the interviewers. This typically leads to an over-estimation of design effects and consequently risks misallocating resources towards a higher sample size instead of using more interviewers or improving measurement accuracy. Therefore, we propose a corrected design effect that separates the interviewer effect from the effects of the sampling design on the sampling variance. The ability to estimate the corrected design effect is tested using a simulation study. In this respect, we address disentangling cluster and interviewer variance. Corrected design effects are estimated for data from the European Social Survey (ESS) round 6 and compared with conventional design effect estimates. Furthermore, we show that for some countries in the ESS round 6 the estimates of conventional design effect are indeed strongly inflated by interviewer effects.
机译：选择正确的样本大小是核心，以确保调查质量。本领域的状态是通过计算有效的样本尺寸来解释复杂的采样设计。这些有效的样本尺寸是使用感兴趣的中央变量的设计效果确定的。然而，在面对面调查中，经验估计设计效果通常被怀疑被怀疑与面试官的影响混淆。这通常导致设计效果过度估计，因此风险误会朝着更高的样本大小而不是使用更多面试官或提高测量精度。因此，我们提出了一种校正的设计效果，将面试官效应与采样设计对采样方差的影响分开。使用模拟研究测试估计校正设计效果的能力。在这方面，我们解决了解开的集群和面试官方差。校正设计效果估计来自欧洲社会调查（ESS）第6轮的数据，并与传统的设计效果估算进行比较。此外，我们表明，对于ESS中的一些国家，常规设计效果的估计确实受面试官效应强烈夸大。

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