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

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
Requirements and Prerequisites

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