Dates
| weekly | Tuesday | 12:15 - 13:45 | 06.04.2026 - 23.05.2026 | C 14.027 Seminarraum |
Curriculum context
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Organizational information
Registration
Registration ends 07.4.2026 at 23:59 h
You will register automatically for this course if you register for one of the following courses:
Quantitative Research Methods - Exercise for Master Management & Entrepreneurship (Franziska Kößler, Laura Venz),
Quantitative Research Methods - Exercise for Management & Sustainable Accounting and Finance (Henning Schröder)
Persons
Content
The module Quantitative Research Methods deals with the theoretical background and statistical analyses necessary to understand quantitative approaches in management, organizational behavior, and entrepreneurship research. Specifically, the course deals with measurement and statistical analysis of numerical data, including deductive hypothesis testing, modeling linear relationships, and multivariate analysis.
This course has the following aims:
1) It will help students to grasp the importance of quantitative methods in management, organizational behavior, and entrepreneurship.
2) It will give students the opportunity to understand the links between the statistical background and its practical implementation.
3) It will offer students the possibility to acquire basic knowledge in statistical analysis
4) It will provide students with the opportunity to design and implement quantitative research methods
LECTURE CONTENT
---
Building a Quantitative Research Model: Theory utilization and research models (“conceptualization”), quantitative research designs ("procedure"), and variable measurement (“operationalization”)
Analyzing a Quantitative Research Model: Linear Models including moderation, mediation and their combination
Research Ethics and Open Science
Understanding and Evaluating Quantitative Research Papers
---
EXERCISES
Apply the concepts from the lecture to real-world research models, data, and publications.
GOALS
Students will learn the entire process of quantitative empirical research (model building, data collection, quantitative data analysis, results interpretation). These skills will be useful for writing a quantitative empirical master thesis or to pursue with doctoral studies.
Beyond any upcoming thesis, understanding the entire process of quantitative empirical research and the resulting knowledge generation will be helpful to strengthen systematic and analytical thinking in general.
The lectures and exercises will be held in person at the Leuphana campus
- To facilitate exchange among participants
- To allow immediate queries with relation to the lecture content
-------------------
ALL lecture material will be processed in a Moodle course:
Quantitative Research Methods - Master Management - Lecture
Course ID: 1147212
Enrolment key: QuantRM-Master26
Your enrolment is mandatory!
Evaluation
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html