Consulting and Professional Development
Methodological and Statistical Consulting
The Chair supports researchers, doctoral candidates, and students with methodological, psychometric, and statistical questions. The goal of our consulting services is to promote the quality of empirical research and to support researchers in making well-informed methodological decisions.
We offer consultation specifically on the following topics:
- Statistical experimental design and data analysis (e.g., sampling design, regression and analysis of variance, factor analysis)
- Application of complex multivariate methods (e.g., structural equation modeling, multilevel models, generalized linear models)
- Psychometric aspects of questionnaire development
- Problem-specific application of statistical software (e.g., R, JASP)
Consulting Formats
One-time methodological consultation
We offer one-on-one consultations for clearly defined methodological or statistical questions. Since responsibility for the academic supervision and evaluation of theses lies with the respective advisors, we ask that they participate in such consultations whenever possible or be involved in defining the research question. This ensures that the solutions developed collaboratively are integrated into the ongoing supervision process.
Methodological Collaboration Throughout a Project
For research projects or theses with extensive or particularly challenging methodological requirements, long-term support throughout the project may be beneficial. In such cases, it should be determined whether formal involvement of our Chair in the project or in the supervision is appropriate. This can take the form of official co-supervision, for example. For research projects involving a substantial methodological contribution, joint publications and co-authorship may also be considered—in accordance with standard academic practices.
We look forward to working with you to develop suitable solutions for your methodological and statistical questions and to successfully support your empirical projects.
Methodological and Statistical Training
Upon request, the Chair offers continuing education on the following topics, among others:
- Statistical experimental design and analysis (e.g., planning optimal sample sizes, regression and analysis of variance, factor analysis)
- Application of complex multivariate statistical methods (e.g., linear structural equation models, hierarchical linear models, multilevel structural equation models, generalized linear models)
- Psychometric aspects of questionnaire development
- Problem-specific application of statistical software (R, JASP, etc.)
Contact: Dr. Martin Schoemann / Dr. Ulrike Senftleben
- Application of dynamic measurement and analysis methods (mouse tracking, eye tracking, frequency-tagged EEG, time-frequency analysis of EEG) to investigate cognitive processes
- Development of computational cognitive models (neural networks, dynamic neural fields, differential equation models, drift-diffusion models, agent-based models)
Contact: Prof. Dr. Stefan Scherbaum
We look forward to working with you to develop suitable formats for your continuing education needs.