Fieldwork Monitoring for the European Social Survey: An illustration with Belgium and the Czech Republic in Round 7

Vandenplas Caroline (), Loosveldt Geert () and Beullens Koen ()
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Vandenplas Caroline: Centre for Sociological Research, KU Leuven, Parkstraat 45 - box 3601, 3000Leuven, Belgium.
Loosveldt Geert: Centre for Sociological Research, KU Leuven, Parkstraat 45 - box 3601, 3000Leuven, Belgium.
Beullens Koen: Centre for Sociological Research, KU Leuven, Parkstraat 45 - box 3601, 3000Leuven, Belgium.

Journal of Official Statistics, 2017, vol. 33, issue 3, 659-686

Abstract: Adaptive and responsive survey designs rely on monitoring indicators based on paradata. This process can better inform fieldwork management if the indicators are paired with a benchmark, which relies on empirical information collected in the first phase of the fieldwork or, for repeated or longitudinal surveys, in previous rounds or waves. We propose the “fieldwork power” (fieldwork production per time unit) as an indicator for monitoring, and we simulate this for the European Social Survey (ESS) 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.

Keywords: Adaptive/responsive design; productivity metric; effort metric; data quality metric (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:33:y:2017:i:3:p:659-686:n:5

DOI: 10.1515/jos-2017-0031

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