12th April: Introduction to Longitudinal Data Analysis

The course covers basic concepts in longitudinal design and analysis.

The morning session focuses on the strengths and methodological difficulties of the longitudinal approach such as defining longitudinal populations and target samples; levels and dimensions of change; age, period and cohort effects. There will be one small group discussion.

After lunch, we start with an overview session on the sources and causes of missing data (attrition, etc.), and how to adjust for missingness; this will be followed by another group exercise.


13th April: Longitudinal Data Analysis

The course covers two of the most useful ways of analysing longitudinal data. In the morning we cover growth curve analysis within a multilevel modelling framework. The theoretical ideas are embellished with practical work using data from the National Child Development Study. After lunch, basic concepts in survival analysis and event history analysis are introduced followed by practical work with a simple (pencil and paper) example.