Instructors: Prof. Dr. Martin Elff
Event type:
Seminar
Org-unit: Sociology, Politics & Economics
Displayed in timetable as:
Angw. Statistik
Hours per week:
3
Credits:
6,0
Location:
Campus der Zeppelin Universität
Language of instruction:
German
Min. | Max. participants:
5 | 35
Priority scheme: Standard-Priorisierung
Course content:
The course "Applied Statistics" builds on skills that students acquired in previous semesters in courses on research design and data analysis and gives them opportunities to exercise and develop their skills in the application to topics from the social sciences. The course revolves around the analysis of political science research data sets using the free statistical software R. In addition to the core topic of data analysis the course also covers aspects of social science data management and the graphical representation of statistical results.
The course is accompanied by student tutorials.
Educational objective:
The course provides participants with practical experience in the application of data analytical techniques, using appropriate statistical software. This allows them to acquire, develop and expand skills that are immensely useful not only for their research activities in later stages of their studies, but which are also essential job skills in many fields of either academic or applied political science.
After successful completion of the course participants
- have an understanding of the structure of social science research data sets
- are able to select statistical techniques appropriate for research question of their own chosing,
- are capable to put these techniques into practice using statistical software,
- and to effectively present and communicate statistical results by way of tables and graphics.
Mandatory literature:
Field, Andy, Jeremy Miles und Zoë Field. 2012. Discovering Statistics Using R. London, Thousand Oaks, New Delhi, Singapore: Sage Publications.
Mehmetoglu, Mehmet, and Matthias Mittner. 2021. Applied Statistics Using R: A Guide for the Social Sciences. London: Sage.
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