Abstract:
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Survey researchers implement adaptive survey designs that tailor data collection features to sample units in an effort to maintain data quality while reducing cost or improve data quality within a fixed budget. To tailor treatments, researchers use data known about sample units before data collection as well as response data and operational data. Adaptive survey designs also require metrics to assess data quality, data collection progress, and field procedures as well as tools including reports and graphs to monitor those metrics throughout data collection. This presentation discusses the monitoring of field procedures during the 2015 Survey of Income and Program Participation, a longitudinal survey administered by the U.S. Census Bureau. We discuss specific metrics, including interviewer workload, interviewer effort, and field management. We detail why monitored these metrics and how we developed the reports to do so. We end with a discussion of how these monitoring systems could be used to implement an adaptive design intervention in the next round of SIPP data collection.
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