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.
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.
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.