Research Methods & Evidence-based Management
level of course unit
first cycle, Master
Learning outcomes of course unit
Students:
- understand the connection between research practice and fact-based decision-making processes and can explain the basic principles of social scientific research.
- understand the logic of scientific inquiry and the purposes of empirical social science research, its strengths and weaknesses.
- understand the role of basic theoretical assumptions and terms in the research process in the social sciences.
- understand the role of theory, conceptualization, and theoretical frameworks
- understand the utility of various quantitative and qualitative methodologies for the purpose of exploring, describing, explaining, and predicting social phenomena and understanding social reality.
- are able to develop their own research design systematically on a MA level and set it out methodically correctly.
- have mastered the design of questionnaires and interview guidelines.
- are able to carry out an empirical data collection.
- are familiar with methods of analog and digital data evaluation.
prerequisites and co-requisites
not applicable
course contents
- Differences and interfaces between qualitative and quantitative social research
- Research design and planning
- Sampling in qualitative and quantitative research
- Instruments for qualitative and quantitative data collection
- Methods for data analysis: qualitative content analysis, factor analysis, regression analysis
- Examples of empirical studies from sports, culture and event management
recommended or required reading
Baur, N., & Blasius, J. (Hg.) (2014). Handbuch Methoden der empirischen Sozialforschung. Wiesbaden: Springer Fachmedien Wiesbaden.
Bogner, A., Littig, B., & Menz, W. (Hg.) (2009). Das Experteninterview. Theorie, Methode, Anwendung. 3. Grundl. überarb. Aufl. Wiesbaden: Springer VS.
Bryman, A. (2012). Social research methods (4. ed.). Oxford u.a: Oxford Univ. Press.
Kuckartz, U. (2018). Qualitative Inhaltsanalyse. Methoden, Praxis, Computerunterstützung (4. Auflage). Weinheim/Basel: Beltz Juventa.
Schnell, R. (2018). Methoden der empirischen Sozialforschung. Oldenburg: DeGruyter.
assessment methods and criteria
academic paper
language of instruction
German
number of ECTS credits allocated
4
eLearning quota in percent
25
course-hours-per-week (chw)
2
planned learning activities and teaching methods
seminar
semester/trimester when the course unit is delivered
2
name of lecturer(s)
Team SCEM
year of study
1
recommended optional program components
none
course unit code
bb.PT.2
type of course unit
seminar-degree
mode of delivery
Compulsory