Management Tools for Enhancing the Composition of Survey Response PowerPoint PPT Presentation

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Title: Management Tools for Enhancing the Composition of Survey Response


1
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

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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

3
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

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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
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Examples of Administrative Data
  • Mode(s)
  • Data collection period and dates of actions
  • Budget
  • Number of Interviewers
  • Interviewer characteristics

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Examples of Process Data
  • Response rate
  • Composition of nonresponse
  • Refusal rate
  • Non-contact rate
  • Telephone coverage
  • Workload
  • Cost

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Management Tools - description
  • Snapshots of the data collection process
  • Intervention must be possible
  • Transparent and predictable management system

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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

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Examples of Quality Indicators
  • Response rate
  • Non-response rate
  • Response bias
  • Response burden
  • Revisions
  • Errors

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Monitoring of Process Variables
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Monitoring of Auxiliary Variables
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Monitoring of Target Variables
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Post stratification by background variables
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Benchmarking by data from previous rounds
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Examination of multiple bias
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Management Tools - Challenges
  • Get used to communicate through data displays
  • High skilled project managers
  • Demand of quick re-sceduling procedures

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Management Tool - Limitations
  • May draw attention away from serious measurement
    problems
  • May indicate more than one issue of concern
  • May add new bias

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Further work
  • Development of SIV
  • Experiences from real-time data collections
  • Development of more sophisticated management tools
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