Survey Research Center, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48104, USA.
Survey Research Center, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48104, USA.
Soc Sci Res. 2019 Aug;82:113-125. doi: 10.1016/j.ssresearch.2019.04.005. Epub 2019 May 4.
Social processes that change quickly are difficult to study, because they require frequent survey measurement. Weekly, daily, or even hourly measurement may be needed depending on the topic. With more frequent measurement comes the prospect of more complex patterns of missing data. The mechanisms creating the missing data may be varied, ranging from technical issues such as lack of an Internet connection to refusal to complete a requested survey. We examine one approach to mitigating the damage of these missing data - a follow-up or closeout interview that is completed after the frequent measurement. The Relationship Dynamics and Social Life (RDSL) study used this approach. The study asked women weekly about their attitudes and behaviors related to sexual relationships and pregnancy. The surveys were carried out for 130 weeks and concluded with a closeout interview. We explore the patterns of missing data in the RDSL study and then examine associations between the data collected in the closeout survey and key variables collected in the weekly survey. We then assess the extent to which data from the closeout survey are useful in repairing the damage caused by missing data.
社会过程变化迅速，难以进行研究，因为它们需要频繁的调查测量。具体取决于研究主题，可能需要每周、每天甚至每小时进行测量。测量频率越高，数据缺失模式就越复杂。导致数据缺失的机制多种多样，从技术问题（例如，没有互联网连接）到拒绝完成请求的调查不等。我们研究了一种减轻这些缺失数据影响的方法——在频繁测量后进行后续或收尾访谈。关系动态与社会生活（RDSL）研究采用了这种方法。该研究每周询问女性有关其与性关系和怀孕相关的态度和行为。该调查共进行了 130 周，最后进行了收尾访谈。我们探索了 RDSL 研究中缺失数据的模式，然后研究了收尾调查中收集的数据与每周调查中收集的关键变量之间的关联。接下来，我们评估了收尾调查数据在多大程度上有助于修复缺失数据造成的损失。
