Data Collection and Interpretation
Degree programme | International Management and Leadership |
Subject area | Business and Management |
Type of degree | Master Part-time Summer Semester 2024 |
Course unit title | Data Collection and Interpretation |
Course unit code | 080322021002 |
Language of instruction | English |
Type of course unit (compulsory, optional) | Compulsory |
Teaching hours per week | 1 |
Year of study | 2024 |
Level of the course / module according to the curriculum | |
Number of ECTS credits allocated | 3 |
Name of lecturer(s) | Verena BONELL-FOLIE, Florian BÜHLER, Markus FEDERAU |
Opportunity Analysis and Framing, Research Methods
- designing a data collection to implement a specific research project
- survey design
- (semi)structured interview design
- case study analysis
- multivariate analysis, e.g. factor analysis, regression analysis
- correlation analysis
- validity, reliability testing
- usage of tools (SPPS, MaxQDA , …)
- represenation of results (research paper)
Empirical research Is a key component of business analysis, particularly in a digital world. Thus students need to be familiar with different tools and practices to collect, analyse and interprete data for business purposes.
This course will prepare students to
- design empirical data collection concepts In line with different research methods
- suggest and select appropriate methods for the intended research
- analyse collected data with appropriate methods and tools to enable interpretation
- interprete results from the analysis and reflect the academic quality criteria of the research
- recognize the limitations of the findings and suggest further future research
- present the results in a report / research paper style format
- Project group work
- Coaching
Project Report
Course will be closely connected to the course “Research Methods”
- Nunan, Daniel, Birks, David F, Malhottra, Naresh K. Marketing Research, Applied Insights, 6ed, Harlow, United Kingdom, Pearson 2020
- Heidig. W. / Dobbelstein, T.: Quick Guide Marktforschung im Mittelstand, Wiesbaden 2021
- Denzin, Norman K. The Sage Handbook of Qualitative Research. 4. Book, Whole. Los Angeles, California: Sage Publishing, 2011.
- Provost, Foster, and Tom Fawcett. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. 1. Book, Whole. Sebastopol, California: O’Reilly, 2013.
- Bryman, Alan, and Emma Bell. Business Research Methods. 3. Book, Whole. Oxford: Oxford University Press, 2011.
Hybrid and Coaching with madatory presence parts