This course is aimed at researchers and other analysts who want to know more about longitudinal research design, and how longitudinal research can be used to address issues in evaluation, as well as developing practical skills in longitudinal data analysis. The course will provide students with a better understanding of a range of longitudinal research methods, including first-difference, fixed-effects and random-effects models and will help them appreciate the strengths and limitations of longitudinal research. Regression modelling is a pre-requisite and it will be assumed that attendants understand multiple regression analysis.