Abstract Producers of large government-sponsored surveys regularly use Computer-Assisted Interviewing (CAI) software to design data collection instruments, monitor fieldwork operations, and evaluate data quality. When used in conjunction with responsive survey designs, last-minute modifications to problems in the field are quickly addressed. Complementing this strategy, but little discussed, is the need to implement similar changes in the post data collection stage of the survey data life cycle. We describe a continuous data processing system where completed interviews are carefully examined as soon as they are collected; editing, recode, and imputation programs are applied using CAI tools; and the results are reviewed to correct problematic cases. The goal: provide higher quality data and shorten the time between the conclusion of data collection and the appearance of public use data files.

中文翻译：

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提高调查质量：连续数据处理系统

摘要大型政府资助的调查的生产者经常使用计算机辅助访谈（CAI）软件来设计数据收集工具，监视野外作业操作并评估数据质量。当与响应式调查设计结合使用时，可以快速解决对现场问题的最新修改。作为对此策略的补充，但很少讨论，是需要在调查数据生命周期的后期数据收集阶段实施类似的更改。我们描述了一个连续的数据处理系统，在此系统中，一旦收集到完整的访谈，便会对其进行仔细检查。使用CAI工具应用编辑，重新编码和插补程序；并审查结果以纠正有问题的案例。目标：