<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.</p></abstract>

Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.

Implementing Adaptive Survey Design with an Application to the Dutch Health Survey

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for...

Implementing Adaptive Survey Design with an Application to the Dutch Health Survey

Pubblicato online: 24 lug 2020

Pagine: 609 - 629

Ricevuto: 01 set 2018

Accettato: 01 ott 2019

DOI: https://doi.org/10.2478/jos-2020-0031

© 2020 Kees van Berkel et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.