RISQ

Representativity Indicators for Survey Quality

Coordinatore	CENTRAAL BUREAU VOOR DE STATISTIEK    more  Organization address address: HENRI FAASDREEF 312 city: DEN HAAG postcode: 2490 HA contact info Titolo: Dr. Nome: Barry Cognome: Schouten Email: send email Telefono: -3374944 Fax: -3376029
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	1˙041˙094 €
EC contributo	827˙490 €
Programma	FP7-SSH Specific Programme "Cooperation": Socio-economic Sciences and Humanities
Code Call	FP7-SSH-2007-1
Funding Scheme	CP-FP
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-03-01   -   2010-06-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	CENTRAAL BUREAU VOOR DE STATISTIEK  Organization address address: HENRI FAASDREEF 312 city: DEN HAAG postcode: 2490 HA contact info Titolo: Dr. Nome: Barry Cognome: Schouten Email: send email Telefono: -3374944 Fax: -3376029	NL (DEN HAAG)	coordinator	0.00
2	KATHOLIEKE UNIVERSITEIT LEUVEN  Organization address address: Oude Markt 13 city: LEUVEN postcode: 3000 contact info Titolo: Ms. Nome: Maria Cognome: Vereeken Email: send email Telefono: -323488 Fax: -323500	BE (LEUVEN)	participant	0.00
3	Statisticni Urad Republike Slovenije  Organization address address: VOZARSKI POT 12 city: Ljubljana postcode: 1000 contact info Titolo: Ms. Nome: Katja Cognome: Rutar Email: send email Telefono: -2140 Fax: -2414959	SI (Ljubljana)	participant	0.00
4	STATISTISK SENTRALBYRAA - STATISTICS NORWAY  Organization address address: Kongengate 6 city: OSLO postcode: 31 contact info Titolo: Mr. Nome: Oyvin Cognome: Kleven Email: send email Telefono: -94878 Fax: -4959	NO (OSLO)	participant	0.00
5	UNIVERSITY OF SOUTHAMPTON  Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ contact info Titolo: Ms. Nome: Jean Cognome: Mills Email: send email Telefono: -80593336 Fax: -80592174	UK (SOUTHAMPTON)	participant	0.00

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 Obiettivo del progetto (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.'