This three-day course provides a comprehensive introduction to survey methods and analysis. It will focus on familiarising participants with the fundamentals of survey design and analysis, combined with practical applications using the statistical programme R. This course is designed for anyone interested in learning how to design, conduct, and analyse surveys effectively, regardless of their prior experience with survey research or statistical software.

Specifically, we will cover: sampling and weighting and how these relate to questions of representativeness; survey question 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 feel free to ask any questions to allow them to learn in a collaborative environment.