Chair: Prof. Dr. Holger Brandt

The research area Psychometrics deals with the development of statistical methods for answering psychometric questions in complex data such as intensive longitudinal data. In particular, latent variable models and machine learning methods are integrated to provide new approaches for behavioral and social sciences.

The central focus of the development work is on the following areas:

• Causal models for the assessment of mediator variables
• Developments in the framework of "dynamic structural equation models" for modeling intensive longitudinal data, e.g. from clinical psychology
• Sparsity in complex models