Practical Application of Methods
- Fakultät
Wirtschafts- und Sozialwissenschaften
- Version
Version 11.0 vom 29.11.2021
- Modulkennung
22B1514
- Modulname (englisch)
Practical Application of Methods
- Studiengänge mit diesem Modul
Wirtschaftspsychologie (B.Sc.)
- Niveaustufe
2
- Kurzbeschreibung
The module "Practical Application of Methods" enlarges student's skills with regard to the application of empirical methods of the social sciences, especially the quantitative, statistical methods.The core of the module is to formulate a scientific question and then to design, conduct, and report the whole empirical project. Hence the module also serves as a training for the later bachelor thesis. Students perform their research project in small groups and will be coached during all phases of their work. They should formulate the concrete, empirical research question according to their own interests and then develop the appropriate methodological approach, collect all the neccessary data, analyze them statistically, and finally, report them in written form.
- Lehrinhalte
- Introduction to self-assured application of methodological knowledge and skills, especially the quantitative-statistical methods (with consultation and support by the lecturer)
- Endorsement of teamwork within a research project
- Development and obeying of project plans (milestones, timelines).
- Lernergebnisse / Kompetenzziele
Wissensverbreiterung
Wissensvertiefung
Students consolidate their knowledge of scientific, empirical research methods.
Können - instrumentale Kompetenz
Students are capable to plan and conduct, mostly self-employed, a research project during all its critical phases: formulation of a concrete research question, choice of appropriate empirical methods, data collection, statistical data analysis, and reporting.
They are also capable to develop a detailed and realizable project plan, as well as following their goals, milestones and timetable.
Können - kommunikative Kompetenz
Können - systemische Kompetenz
- Lehr-/Lernmethoden
Project-based seminar; research in small groups
- Empfohlene Vorkenntnisse
Successful participation in basic statistical courses; knowledge of scientific criteria and research design
- Modulpromotor
Zöller, Henrik
- Lehrende
Zöller, Henrik
- Leistungspunkte
5
- Lehr-/Lernkonzept
Workload Dozentengebunden Std. Workload Lehrtyp 15 Seminare 15 Übungen 30 betreute Kleingruppen Workload Dozentenungebunden Std. Workload Lehrtyp 15 Veranstaltungsvor-/-nachbereitung 30 Kleingruppen 15 Referate 30 Hausarbeiten
- Literatur
Dean, A., Voss, D., Draguljic, D. (2017). Design and Analysis of Experiments. 2nd Ed. New York: SpringerIzenman, A.J. (2008). Modern Multivariate Statistical Techniques. New York: SpringerKirk, R.E. (2013): Experimental Design. 4th Ed. Thousand Oaks, CA: SageWitte, R.S., Witte, J.S. (2017). Statistics. 11. Aufl. New York: Wiley
- Prüfungsleistung
- Portfolio Prüfung
- Projektbericht, schriftlich
- Bemerkung zur Prüfungsform
Portfolio Prüfung: Written project report (PSC) in form of a seminar paper (80 points) and prior verbal presentation (PMU) of the project in a plenary session (20 points)
- Prüfungsanforderungen
Students demonstrate that they can conceptualize and conduct an empirical research project, evaluate the data statistically, interpret and report the results with regard to scientific criteria.
- Dauer
1 Semester
- Angebotsfrequenz
Nur Wintersemester
- Lehrsprache
Englisch