Saw Htay-Wah, West Brady T, Couper Mick P, Axinn William G
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Field methods. 2024 Aug;36(3):206-212. doi: 10.1177/1525822x231193311. Epub 2023 Aug 9.
The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel longitudinal data on these topics. We focus on predictors of willingness to participate, identifying the potential selection bias that this type of approach may introduce. We found that efforts of this type to create a national web panel may introduce potential selection bias in estimates based on the panel respondents, with individuals having higher socio-economic status being more cooperative. Thus, alternative recruitment strategies and re-weighting of the subsample may be needed to further reduce selection bias. We present methodological implications of our results, limitations of our approach, and suggestions for further research on this topic.
美国家庭健康研究（AFHS）于2021年9月至2022年5月期间，通过网络和邮件方式，从全国18至49岁人群的概率样本中收集了家庭健康和生育数据。2022年7月，我们对AFHS的受访者进行了调查，评估他们参与全国网络小组的意愿，该小组将创建有关这些主题的全新纵向数据。我们重点关注参与意愿的预测因素，识别这种方法可能引入的潜在选择偏差。我们发现，创建全国网络小组的此类努力可能会在基于小组受访者的估计中引入潜在选择偏差，社会经济地位较高的个体更具合作性。因此，可能需要采用替代招募策略并对子样本进行重新加权，以进一步减少选择偏差。我们阐述了研究结果的方法学意义、我们方法的局限性以及对该主题进一步研究的建议。
