Information on individual educational components (ECTS-Course descriptions) per semester

  
Degree programme:Master International Management and Leadership
Type of degree:FH Master´s Degree Programme
 Part-time
 Summer Semester 2023
  

Course unit titleData Collection and Interpretation
Course unit code080322021002
Language of instructionEnglish
Type of course unit (compulsory, optional)Compulsory
Semester when the course unit is deliveredSummer Semester 2023
Teaching hours per week1
Year of study2023
Level of course unit (e.g. first, second or third cycle)Second Cycle (Master)
Number of ECTS credits allocated3
Name of lecturer(s)Verena BONELL-FOLIE
Florian BÜHLER
Markus FEDERAU


Prerequisites and co-requisites

Opportunity Analysis and Framing, Research Methods

Course content
  • 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)
Learning outcomes

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
Planned learning activities and teaching methods
  • Project group work
  • Coaching
Assessment methods and criteria

Project Report

Comment

Course will be closely connected to the course “Research Methods”

Recommended or required reading
  • 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.
Mode of delivery (face-to-face, distance learning)

Hybrid and Coaching with madatory presence parts

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