In my previous research I have been looking at different ways to measure and model change. The focus has been on categorical measurements, consideration of measurement error by using latent variables and heterogeneity in change. Applications have been classical evaluation studies on the one hand and classification of mood patterns on the other.
When teaching psychological methods in undergraduate or graduate classes, I try to emphasize the applicability of statistical models and the substantive interpretation of parameters. In lectures, seminars and workshops I usually start from the general linear model and introduce mixed models (multilevel analysis) and structural equation models. This is often extended with an emphasis on the particularities of longitudinal data.