Empirical Research in Management and Economics

Lecturer (assistant)
TermWintersemester 2023/24
Language of instructionEnglish
Position within curriculaSee TUMonline


The acquired skills are important for conducting a Master's thesis but are equally important to understand and analyze data in their future career and in everyday life. After the successful participation in the module, students will be able to understand key methods of empirical research, including both basic and more advanced aspects of research design, data collection, data analysis, and interpretation. Students will learn how to understand and analyze empirical research and be in a position to critically evaluate published findings. Students will learn to apply basic methods to empirical data. Students will learn the basics of how to plan, set up, and conduct an empirical research project. Finally, students will learn to interpret empirical research results.


This module prepares students for conducting empirical research (e.g., for their Master's thesis) by introducing them to basic and advanced topics of research methodology and data analysis. The topics covered in the module include: research design; hypothesis testing; multiple regression; logistic regression; mixed-effects models; factor analysis and cluster analysis; multidimensional scaling; conjoint analysis; open science. The acquired skills are important for students' Master's Thesis but are equally important to understand and analyze data and statistics in their future career and everyday life.

Teaching and learning methods

The module consists of lectures and exercises.The lectures serve to build a thorough theoretical understanding of the related scientific concepts and methods.In the exercises, students learn to apply the methods that were discussed in the lectures in concrete analyses and interpretations.

Recommended Literature

Field, A., Miles, J., & Field, Z. (2012). Introduction to statistics using R. Sage Publications.

Backhaus, K., Erichson, B., Gensler, S., Weiber, R., & Weiber, T. (2021). Multivariate analysis: An application-oriented introduction. Springer.

Spiegelhalter, D. (2019). The art of statistics. Pelican.