Selected Topics on Academic & Empirical Methods
Niveau
Introduction and consolidation
Learning outcomes of the courses/module
The students are able to:
• Describe and apply relevant quantitative and qualitative academic methods in the subject area
• Select and independently apply tools and methods to support data collection and analysis.
• Illustrate and critically reflect on results in a comprehensible way
• Describe and apply relevant quantitative and qualitative academic methods in the subject area
• Select and independently apply tools and methods to support data collection and analysis.
• Illustrate and critically reflect on results in a comprehensible way
Prerequisites for the course
Academic and Empirical Methods (WIS.1)
Course content
• Qualitative and Quantitative Scientific Methods
o Questionnaire
o Interview
o Qualitative & quantitative content analysis
o Field & laboratory study (focus on experiment, A/B test & simulation)
• Tools and Examples
o Data collection
o Data analysis
o Visualization of the results
• Description and critical reflection of results
o Questionnaire
o Interview
o Qualitative & quantitative content analysis
o Field & laboratory study (focus on experiment, A/B test & simulation)
• Tools and Examples
o Data collection
o Data analysis
o Visualization of the results
• Description and critical reflection of results
Recommended specialist literature
• Bortz, J. and N. Döring, 2006. Forschungsmethoden und Evaluation. Berlin: Springer
• Flick, U., E. Kardorff and I. Steinke, 2007. Qualitative Forschung. Rowohlts Enzyklopädie
• Lamnek, S., 2010. Qualitative Sozialforschung. Berlin: Beltz
• Przyborski, A. and M. Wohlrab-Sahr, 2010: Qualitative Sozialforschung. Munich: Oldenbourg
• Flick, U., E. Kardorff and I. Steinke, 2007. Qualitative Forschung. Rowohlts Enzyklopädie
• Lamnek, S., 2010. Qualitative Sozialforschung. Berlin: Beltz
• Przyborski, A. and M. Wohlrab-Sahr, 2010: Qualitative Sozialforschung. Munich: Oldenbourg
Assessment methods and criteria
Term paper
Language
German
Number of ECTS credits awarded
5
Share of e-learning in %
30
Semester hours per week
2.5
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
3
Name of lecturer
Director of Studies
Academic year
2
Key figure of the course/module
WIS.2
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
none