Practical Application of Methods

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.
K?nnen - 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.
K?nnen - kommunikative Kompetenz

K?nnen - systemische Kompetenz

Empfohlene Vorkenntnisse: Successful participation in basic statistical courses; knowledge of scientific criteria and research design

Lehr-/Lernkonzept

Workload Dozentengebunden
Std. Workload	Lehrtyp
15	Seminare
15	?bungen
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

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.