Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the well-established post-survey adjustment. This paper reports the results of an experiment that evaluated the additional effect of adaptive design to post-survey adjustments. The experiment was conducted in the Detroit Metro Area Communities Study in 2021. We evaluated the adaptive design in five outcomes: 1) response rates, 2) demographic composition of respondents, 3) bias and variance of key survey estimates, 4) changes in significant results of regression models, and 5) costs. The most significant benefit of the adaptive design was its ability to generate more efficient survey estimates with smaller variances and smaller design effects.

中文翻译：

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自适应调查设计超越调查后调整的附加效果：实验评估

适应性调查设计是指使用有针对性的程序来招募不同的抽样案例。这种技术通过尝试招募更多和更平衡的受访者集来努力减少调查估计的偏差和方差。然而，除了完善的调查后调整之外，适应性设计如何改善数据和调查估计，人们还不太了解。本文报告了一项实验的结果，该实验评估了自适应设计对调查后调整的额外影响。该实验是在 2021 年的底特律都会区社区研究中进行的。我们在五个结果中评估了适应性设计：1) 响应率，2) 受访者的人口构成，3) 关键调查估计的偏差和方差，4) 显着变化回归模型的结果，以及 5) 成本。