Mixed-Mode Official Surveys (PDF)

Bart Buelens - Bart Buelens has worked in data analytics after graduating in mathematics and obtaining a PhD in computer science. As statistician and data scientist at Statistics Netherlands he conducted research on inference in mixed-mode surveys, model-based estimation and machine learning. In 2018 he moved to VITO, a Belgian research and technology organization, where he contributes to data science research in the area of sustainability with emphasis on applied artificial intelligence.

Jan van den Brakel - After finishing a Master in Biometrics, Jan van den Brakel started as a junior methodologist at the Methodology Department of Statistics Netherlands in 1994. Based on his research work at Statistics Netherlands on design-based inference methods for randomized experiments embedded in probability samples he finalized his PhD in Statistics in 2001. In 2005 he became senior methodologist, responsible for coordinating research into model based inference methods. Since 2010 he is an Extended professor of Survey Methodology at Maastricht University. His research interest are sampling, design and analysis of experiments, small area estimation, time series analysis and statistical methods for measuring the effects of redesigns of repeated surveys.

Deirdre Giesen - Deirdre Giesen holds a master in health sciences and in sociology. She has worked as a survey methodologist at Statistics Netherlands since 2000. She is a senior methodologist and responsible for coordination of cognitive lab/userlab tests at Statistics Netherlands. Part of her work is pre-testing and evaluating questionnaires, both for businesses and household surveys. Her research interests include questionnaire testing methodology, mixed-mode mixed-device questionnaire development and the measurement and reduction of response burden.

Annemieke Luiten - Annemieke Luiten holds a Master in psychology and a PhD in survey methodology. She is a senior methodologist at Statistics