What methods we use
Development of population-based behavior change interventions
It's one thing to develop an effective intervention. It's another thing to design an intervention that works for the population as a whole. To achieve this, we use an evidence-based approach.
Latent variable modeling for longitudinal data
Many phenomena can't be measured with measuring tapes or scales, e.g., motivation to change or affect. Latent variable models are used to make constructs that can't be directly observed "visible".
Measurement of public health impact and social equity
What is the point of a smartphone app to reduce alcohol consumption that has been developed to the highest standards but has minimal usage? Exactly. That's why there's public health impact.
Development and validation of questionnaires in community medicine
We combine qualitative methods with advanced quantitative data modeling techniques to capture and analyze health-related variables comprehensively, validly and reliably .
Evaluation of innovative health care programs
We provide methodological support for studies to test the effect of health care programs and develop innovative evaluation concepts for intervention studies and medical quality management.
Methodological advice
We offer support to scientists and doctoral students in the planning and conduct of research projects. We assist with the development of study designs, sample size calculation, and statistical analysis. Additionally, we are happy to provide guidance in the interpretation and presentation of data.
Contact: > Prof. Dr. Sophie Baumann