Health related Bias in Websurveys of the General Oopulation

一般排卵网络调查中与健康相关的偏差

• 批准号: 286253962
• 负责人: Professor Dr. Rainer Schnell
• 金额: --
• 依托单位: Lehrstuhl für Empirische Sozialforschung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/286253962?language=en
• 关键词: Health; related; Bias; Websurveys; General

Websurveys have become increasingly important for both academic and commercial research. Considering some of the advantages of this data collection method this trend might seem to be reasonable. However, websurveys suffer from both undercoverage and nonresponse. Different weighting strategies are therefore used to adjust for these problems. Current weighting strategies are based on a number of assumptions which are rarely tested. The project will examine the effects of different weighting strategies on health related selection problems. In order to do so, health realted independent websurveys with different recruitment strategies and diffferent weighting strategies will be compared with aggregated hospital data. official statistics and data from high-ranked surveys.

网络调查对学术和商业研究都变得越来越重要。考虑到这种数据收集方法的一些优点，这种趋势似乎是合理的。然而，网络调查存在覆盖不足和无答复的问题。因此，使用不同的加权策略来调整这些问题。目前的加权战略是基于一些很少经过检验的假设。该项目将研究不同的加权策略对健康相关的选择问题的影响。为了做到这一点，健康相关的独立网络调查与不同的招聘策略和不同的加权策略将与汇总的医院数据进行比较。官方统计数据和来自高级调查的数据。