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Management Tools for Enhancing the Composition of Survey Response. Q2008 European Conference on Quality in Official Statistics Rome, July 2008 Anne Sundvoll, Bengt Oscar Lagerstrøm Øyvin Kleven, Tora L ö fgren, Statistics Norway. Outline.
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Management Tools for Enhancing the Composition of Survey Response Q2008 European Conference on Quality in Official Statistics Rome, July 2008 Anne Sundvoll, Bengt Oscar Lagerstrøm Øyvin Kleven, Tora Löfgren, Statistics Norway
Outline • A growing focus on how to improve response rates, minimize response bias and monitor fieldwork costs during the fieldwork period • Combination of easily retrieved administrative data and process data make continuous monitoring of survey variable of interest possible • The task is to maximize the result, given certain constraints as time or costs
SIV – A system for managing multi mode data collection • Co-ordinates CATI, CAPI, CAWI and Paper Questionnaires • Master Management system • Updates, reports and graphs • Quick and continuous re-scheduling of actions
Architecture example CATI In House Case Management Blaise CATI Service Deliver Cases CAWI Blaise Input Data Store Blaise Data Server Progress Report CASI In House Data Store Extract Data CAPI Third Party Data CADI 4
Examples of Administrative Data • Mode(s) • Data collection period and dates of actions • Budget • Number of Interviewers • Interviewer characteristics
Examples of Process Data • Response rate • Composition of nonresponse • Refusal rate • Non-contact rate • Telephone coverage • Workload • Cost
Management Tools - description • Snapshots of the data collection process • Intervention must be possible • Transparent and predictable management system
Data we would like to monitor During the data collection process, we would like to monitor the composition of….. • Process data • Auxiliary data • Target variables
Examples of Quality Indicators • Response rate • Non-response rate • Response bias • Response burden • Revisions • Errors
Management Tools - Challenges • Get used to communicate through data displays • High skilled project managers • Demand of quick re-sceduling procedures
Management Tool - Limitations • May draw attention away from serious measurement problems • May indicate more than one issue of concern • May add new bias
Further work • Development of SIV • Experiences from real-time data collections • Development of more sophisticated management tools