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Activity Number: 332 - Power of Adaptive Design in Controlling Survey Errors and Costs
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Government Statistics Section
Abstract #327251 Presentation
Title: Fieldwork Monitoring for the European Social Survey: An Illustration with Belgium and the Czech Republic in Round 7
Author(s): Caroline Vandenplas* and Geert Loosveldt
Companies: KU Leuven and KU Leuven
Keywords: Adaptive/responsive design; productivity metrics; effort metric; data quality metric
Abstract:

Adaptive survey designs rely on monitoring indicators based on paradata. This process can better inform fieldwork management if the indicators are paired with a benchmark. We propose the "fieldwork power" (fieldwork production per time unit) as an indicator for monitoring, and we simulate this for the European Social Survey round 7 in Belgium and in the Czech Republic. We operationalize the fieldwork power as the weekly number of completed interviews and of contacts, the ratio of the number of completed interviews to the number of contact attempts and to the number of refusals. We use a repeated measurement multilevel model, with surveys in the previous rounds of the European Social Survey as the macro level and the weekly fieldwork power as repeated measurements to create benchmarks. We also monitor effort and data quality metrics. The results show how problems in the fieldwork evolution can be detected by monitoring the fieldwork power and by comparing it with the benchmarks. The analysis also proves helpful regarding post-survey fieldwork evaluation, and links effort, productivity, and data quality.


Authors who are presenting talks have a * after their name.

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