Title: Management Tools for Enhancing the Composition of Survey Response
1Management 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
2Outline
- 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
3SIV 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
4Architecture 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
5Examples of Administrative Data
- Mode(s)
- Data collection period and dates of actions
- Budget
- Number of Interviewers
- Interviewer characteristics
6Examples of Process Data
- Response rate
- Composition of nonresponse
- Refusal rate
- Non-contact rate
- Telephone coverage
- Workload
- Cost
-
7Management Tools - description
- Snapshots of the data collection process
- Intervention must be possible
- Transparent and predictable management system
8Data we would like to monitor
- During the data collection process, we would like
to monitor the composition of.. - Process data
- Auxiliary data
- Target variables
9Examples of Quality Indicators
- Response rate
- Non-response rate
- Response bias
- Response burden
- Revisions
- Errors
10Monitoring of Process Variables
11Monitoring of Auxiliary Variables
12Monitoring of Target Variables
13Post stratification by background variables
14Benchmarking by data from previous rounds
15Examination of multiple bias
16Management Tools - Challenges
- Get used to communicate through data displays
- High skilled project managers
- Demand of quick re-sceduling procedures
17Management Tool - Limitations
- May draw attention away from serious measurement
problems - May indicate more than one issue of concern
- May add new bias
18Further work
- Development of SIV
- Experiences from real-time data collections
- Development of more sophisticated management tools