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IASS Webinar:Theory and Practice of Adaptive Survey Design at Statistics Netherlands

28 October 2021, 2.00 – 3.30 pm CEST

All are invited to the webinar, organised by the International Association for Survey Statisticians, entitled

Theory and Practice of Adaptive Survey Design at Statistics Netherlands

Please register for the webinar at:

After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI website. See below for the abstract and biography of the speakers.

Webinar Abstract

Adaptive survey designs aim to get a better balanced response by putting different effort in different groups of the population. They are effective in improving survey results and reducing survey costs. Over the last decade, a lot of methodological research has been done on this topic.

In this webinar, an overview of research on adaptive survey design will be presented. After that, the implementation of adaptive survey design is demonstrated at the hand of the Dutch Health survey. In this survey a sequential mixed mode strategy CAWI followed by CAPI is applied. The feature to adapt is the CAPI follow-up. The design is developed in such a way that through stratified selection of internet nonrespondents for face to face follow-up, nonresponse bias can potentially be reduced.

Mode-specific measurement errors which likely exist in many surveys, especially in the Health survey, have not received much attention in adaptive survey design. In order to separate and quantify mode-specific measurement effects and selection effects, an experiment with re-interviews is planned for the Health survey. The sampling and questionnaire design including analysis possibilities are discussed in the webinar.

Biography of Speakers

Kees van Berkel is a senior statistical researcher at the Data Collection Department of Statistics Netherlands and special professor of Statistics and Data Science at Zuyd University of Applied Sciences. His research interests are in adaptive survey designs, sampling theory, weighting adjustments, and integrating surveys and big data for official statistics. Currently he is coordinating the migrations to adaptive survey designs at Statistics Netherlands.

Barry Schouten is senior methodologist at Statistics Netherlands and professor at the methods and statistics department of the faculty of Social Sciences and Behavioural Sciences at Utrecht University. His research concerns survey nonresponse analysis, reduction and adjustment, mixed-mode survey design, adaptive survey design and smart surveys. He is coordinator of research projects related to smart surveys in areas such as travel, time use, consumption and working conditions. He is also one of the coordinators of ESSnet Smart Surveys.