Research Methods & Evidence-based Management
Niveau
first cycle, Master
Learning outcomes of the courses/module
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.
- 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 for the course
not applicable
Course content
- 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
- 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 specialist literature
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.
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
German
Number of ECTS credits awarded
4
Share of e-learning in %
25
Semester hours per week
2.0
Planned teaching and learning method
seminar
Semester/trimester in which the course/module is offered
2
Name of lecturer
Team SCEM
Academic year
1
Key figure of the course/module
bb.PT.2
Type of course/module
seminar-degree
Type of course
Compulsory