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Representativity Indicators for Survey Quality

Objective

Data that is missing due to nonresponse impose a serious threat to the quality of statistics that are based on both surveys and registers. In most cases nonresponse relates to demographic and socio-economic characteristics of the selected persons or enterprises and importantly also on the data collection process. In recent years a growing focus can be observed in survey research on differentiated data collection protocols and adaptive designs. The theory of Deming (1986) about improving quality and productivity in industry is well-known. Many of his famous 14 points for management also apply to the production of statistical information. Quality must be built in at the design stage. Deming’s points particularly apply to the data collection process. The response rate is often used as an indicator of survey quality. However, literature gives various examples where increased data collection efforts led to a higher response rate but also to a larger or comparable nonresponse bias. Therefore, to assess the effects of nonresponse, other quality indicators are needed. These indicators should measure the degree to which the respondents of a survey or register still resembles the population. First examples of such Representativity Indicators have emerged recently. The main objectives of this project are to elaborate and develop these Representativity Indicators, to explore their characteristics and to show how to implement and use them in a practical data collection environment. It will be demonstrated that Representativity Indicators can be used in several stages of the data collection process to improve the quality of the resulting statistics. The project facilitates the efficient allocation of data collection resources and a sophisticated trade-off between quality and costs. Furthermore, in order to enable a sensible incorporation of register data in the production of statistics, quality indicators are important tools in the reduction of respondent burden.

Call for proposal

FP7-SSH-2007-1
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Coordinator

CENTRAAL BUREAU VOOR DE STATISTIEK
Address
Henri Faasdreef 312
2492 JP Den Haag
Netherlands
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
EU contribution
€ 322 792,40
Administrative Contact
Barry Schouten (Dr.)

Participants (4)

UNIVERSITY OF SOUTHAMPTON
United Kingdom
EU contribution
€ 171 210
Address
Highfield
SO17 1BJ Southampton
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Jean Mills (Ms.)
STATISTISK SENTRALBYRAA
Norway
EU contribution
€ 211 699,60
Address
Akersveien 26
0177 Oslo
Activity type
Research Organisations
Administrative Contact
Oyvin Kleven (Mr.)
KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium
EU contribution
€ 87 300
Address
Oude Markt 13
3000 Leuven
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Maria Vereeken (Ms.)
Statisticni Urad Republike Slovenije
Slovenia
EU contribution
€ 34 488
Address
Vozarski Pot 12
1000 Ljubljana
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Administrative Contact
Katja Rutar (Ms.)