Below is some information (and sometimes some links) to courses I teach. Information may not be complete or up-to-date, but with time, I’ll try to share more and more teaching materials here.
The course in survey design takes student beyond the introductory courses offered in BA and MA programmes, and discusses the state-of-the-art of one of the most important data collection techniques: surveys. The course focuses on the methodology of how to do surveys, and the use statistical techniques to analyse and correct for some specific survey errors. It combines short 1-hour lectures with exercises on most of the topics discussed. We assume course participants are proficient in working with R.
This course aims to give students a firm introduction in three broad, and related topics: (1) inference - how do we use small sets of data to produce knowledge about the world around us; (2) survey data analysis, in particular sampling and analyzing complex datasets; (3) survey design - why are surveys designed the way they are? The focus here is on the overall design of a study, not on the design of individual survey questions.