When conducting a survey, many choices regarding survey design features have to be made. These choices affect the response rate of a survey. This paper analyzes the individual effects of these survey design features on the response rate. For this purpose, data from a systematic review of crime surveys conducted in Germany between 2001--2021 were used. First, a meta-analysis of proportions is used to estimate the summary response rate. Second, a meta-regression was fitted, modeling the relationship between the observed response rates and survey-design features, such as the study year, target population, coverage area, data collection mode, and institute. The developed model informs about the influence of certain survey design features and can predict the expected response rate when (re-) designing a survey. This study highlights that a thoughtful survey design and professional survey administration can result in high response rates.

翻译：在进行调查时，需要就调查设计的诸多特征做出选择。这些选择会影响调查的响应率。本文分析了这些调查设计特征对响应率的个体效应。为此，使用了2001年至2021年间在德国进行的犯罪调查的系统综述数据。首先，采用比例元分析来估计总体响应率。其次，拟合了一个元回归模型，该模型描述了观察到的响应率与调查设计特征（如研究年份、目标人群、覆盖区域、数据收集模式和调查机构）之间的关系。所开发的模型揭示了某些调查设计特征的影响，并能在（重新）设计调查时预测预期响应率。本研究强调，深思熟虑的调查设计和专业的调查管理可以获得较高的响应率。