A three-day course focusing on familiarising participants with the fundamentals of survey design and analysis, combined with practical applications using the statistical programme R.

Specifically, we will cover: sampling and weighting methods and how these relate to questions of representativeness; survey questions and response scale design and to what extent a given question and its associated scale may (or may not) be measuring what was intended; different types of response bias, such as social desirability or non-response; effective ways to describe survey data and simple multivariate analysis; and a quick tour of the increasingly popular field of survey experiments.

On each day, the sessions will conclude with some time to implement the concepts discussed in the lecture. Specifically, participants will do a series of practical exercises, whose solutions will be discussed step-by-step together as a class. Participants will be encouraged to work together and to learn in a collaborative environment.

At the end of the three days,participants will have reached a good level of survey literacy, be able to identify well (or ill) designed surveys and gained confidence in their capacity to interpret survey results. The guiding theme of the course will be to learn how to think critically about what information can (and cannot) be learnt from any specific survey data.