Analysis of longitudinal data in educational research, 7.5 credits

The main purpose of the course is to give an introduction to techniques for the analysis of longitudinal data and how such techniques can be used in educational research. Longitudinal data refers to repeated measurement over time of units of observation such as individuals or groups of individuals. Two main analytical approaches are treated: growth modeling and autoregressive modeling. The course aims at developing participants’ skills to choose and apply appropriate techniques for analyzing longitudinal data and to critically review educational research that presents analyses of longitudinal data.