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 Leader	José Gouweleeuw and Kees van Berkel
Target Group	NSI 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.
Objective(s)	To learn state of the art techniques in survey sampling.
Contents	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 Outcome	Participants 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 Reading	None
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 Preparation	None
Trainer(s)/ Lecturer(s)	Kees van Berkel José Gouweleeuw Harm Jan Boonstra Jan Van den Brakel Joep Burger Arnout van Delden

Practical Information
When	Duyration	Where	Organiser	Application via National Contact Point
25-27.09.2024	3 days	The Hague, Netherlands	ICON-INSTITUT Public Sector	Deadline: 29.08.2024