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Sampling Issues in mixed mode data collection: from CAPI to CATI to CAWI - 2024

Sampling Issues in mixed mode data collection: from CAPI to CATI to CAWI 
Course LeaderJosé Gouweleeuw and Kees van Berkel
Target GroupNSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Entry Qualifications
  • Basic knowledge of statistics.
  • Basic knowledge of programming in R.
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions.
  • To learn state of the art techniques in survey sampling.
  • Sampling theory
  • Errors in sample surveys
  • Mixed mode strategies
  • Adaptive survey design
  • Use of administrative data and big data
  • Estimating target variables with complex sampling designs
Expected OutcomeParticipants will understand different sampling techniques, the use of several data sources in survey designs; they can identify errors in sample surveys, and are able to estimate target variables.
Training Methods
  • Presentations and lectures
  • Exchange of views/experiences on national practices
  • Exercises
Required ReadingNone
Suggested Reading
  • Särndal, Swensson and Wretman, Model Assisted Survey Sampling, Chapters 1, 2, 3.
  • Schouten, Peytchev and Wagner, Adaptive Survey Design, Chapters 1, 2, 3.
Required PreparationNone


Kees van Berkel

José Gouweleeuw

Harm Jan Boonstra

Jan Van den Brakel

Joep Burger

Arnout van Delden


Practical Information    
WhenDuyrationWhereOrganiserApplication  via National Contact Point
25-27.09.20243 daysThe Hague, NetherlandsICON-INSTITUT Public SectorDeadline: 29.08.2024