Impact of survey design features on prevalence estimates of sensitive characteristics

由于抽样和非抽样误差的来源很多，调查估计数可能偏离总体参数。非抽样误差的影响在敏感特性的调查中通常更为显著。使用LGBTIQ人群的患病率估计值，在遵循已发布调查估计值的PRISMA指南进行广泛文献检索后，将进行系统性荟萃分析。调查设计特征对所产生的估计数的影响将用元回归进行研究。将对许多不同的设计选项进行编码，例如，问题形式、在调查表中的位置、访谈者在场、抽样类型、无答复和赞助商。该项目将为解释一般敏感特征的流行率估计数提供信息，并将为今后调查的设计提出建议。

Due to many sources of sampling and non-sampling error, survey estimates may deviate from the population parameter. The impact of nonsampling errors is usually more considerable in surveys of sensitive characteristics. Using prevalence estimates of LGBTIQ populations, a systematic meta-analysis after an extensive literature search following the PRISMA guidelines of published survey estimates will be conducted. The effects of survey design features on the resulting estimates will be studied with a meta-regression. Many different design options will be coded, for example, question form, position in the questionnaire, presence of an interviewer, type of sampling, nonresponse and sponsor. The project will inform the interpretation of prevalence estimates of sensitive characteristics in general and will yield recommendations for the design of future surveys.