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在COVID-19后问卷调查中,电话和网络采访之间的模式效应 CoVerlauf:探索性研究
Paula Sofia Herrera-Espejel1,2, Hermann Pohlabeln3, Lisa Kühne4
1Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, Bremen, 28359, Germany, 49 (0)42121856 ext 841.
JMIR human factors
|March 11, 2026
概括
与计算机辅助网站面试 (CAWI) 相比,计算机辅助电话面试 (CATI) 导致更多的COVID-19后症状报告. 然而,这两种方法都产生了类似的整体研究结果,表明CoVerlauf研究中没有显著的偏差.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 调查方法 调查方法
背景情况:
- 同时的混合模式数据收集设计可以引入模式特定的偏差.
- 本研究研究了CoVerlauf研究中的计算机辅助网站采访 (CAWI) 和计算机辅助电话采访 (CATI) 之间的模式效应.
研究的目的:
- 分析采访模式选择 (CAWI与CATI) 和参与者特征之间的关联.
- 研究采访模式对使用多选项 (MC) 和自由文本项目报告COVID-19后症状的影响.
- 在混合模式调查中评估与症状报告相关的选择和测量效应.
主要方法:
- 对CoVerlauf研究数据的二次分析.
- 统计分析包括多重后勤回归,混合效应后勤回归和玛概括线性模型.
- 用后门方法分析症状计数中的选择和测量效应.
主要成果:
- CATI与报告更多症状的可能性更高有关,特别是在自由文本回复中.
- 年龄较大,感染时症状数量较高,以及先前存在的疾病增加了CATI选择的几率.
- 观察到显著的选择和测量效应,有助于通过CATI报告的症状数量增加.
结论:
- 与CAWI相比,CATI采访导致报告的症状数量更高.
- 选择和测量效应都影响了CATI中症状报告的增加.
- 尽管症状报告的模式有所不同,但CoVerlauf的整体研究结果没有受到影响.
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