Zur Merkliste hinzufügen
Zurück

 

55752-01 - Seminar: Analyzing Political Science Puzzles with Data 3 KP

Semester Herbstsemester 2019
Angebotsmuster einmalig
Dozierende Silvana Târlea (s.tarlea@unibas.ch, BeurteilerIn)
Inhalt The increasing availability of data offers great opportunities for social scientists to improve their understanding of the social and political phenomena surrounding national and international institutions. How can we measure and explain the increasing appeal of populist parties, the lack of support for European integration and the increasing support of trade protectionism? What tools have been developed by political scientists to measure and analyze these phenomena? This applied statistics seminar introduces students already familiar with statistical analyses to commonly used statistical analyses in political science. It starts with a refresher on the logic of hypothesis testing and drawing inferences from a sample to a population. This course goes beyond the basic tools used in quantitative analysis including descriptive statistics, probability, and measurement. It allows students to become familiar with multiple regression, multilevel regression analyses and experimental approaches. Furthermore, the course covers models for non-linear dependent variables, including binary logit and probit, ordinal, and multinomial logit. Finally, the multilevel modelling framework is introduced, which is widely used to model data that is clustered, for instance, in individuals or countries. By the end of the course, students will have produced a research paper using data from the European Social Survey analysing a research question of their choice.
Software: R Studio

Lernziele By the end of the course students will have a better understanding of the tools available to social scientists to analyse political and social phenomena. They will be able to run multilevel regression analyses on their own, to produce a paper in which they analyze data from the European Social Survey using multilevel models.
Literatur Dunning, Thad. 2012. Natural Experiments in the Social Sciences: A Design-Based Approach. Cambridge University Press.

Gelman, Andrew and Hill, Jennifer, 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.

Imai, Kosuke. 2017. Quantitative Social Science: An Introduction. Princeton University Press.
Bemerkungen The number of participants is limited to 25 people. The places are assigned according to date of enrollment and subject of study. Priority will be given to students of Political Science.
20.09.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
27.09.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
04.10.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
11.10.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
18.10.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
08.11.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
15.11.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207
22.11.19 Fr 12:15 14:45 Alte Gewerbeschule Seminarraum -207

 

Teilnahmebedingungen The number of participants is limited to 25 people. The places are assigned according to date of enrollment and subject of study. Priority will be given to students of Political Science.
Unterrichtssprache Englisch
Einsatz digitaler Medien Online-Angebot fakultativ

 

Intervall wöchentlich
Datum 20.09.2019 – 22.11.2019
Zeit Freitag, 12.15-14.45 Alte Gewerbeschule, Seminarraum 207
Datum Zeit Raum
Freitag 20.09.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 27.09.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 04.10.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 11.10.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 18.10.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 08.11.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 15.11.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Freitag 22.11.2019 12.15-14.45 Uhr Alte Gewerbeschule, Seminarraum 207
Module Modul: Vertiefung Politikwissenschaft B.A. (Bachelor Studienfach Politikwissenschaft)
Modul: Vertiefung Politikwissenschaft M.A. (Master Studienfach Politikwissenschaft)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung Requirements for passing the course:
• Attendance of minimum seven of the eight meetings.
• Final paper (maximum 8 pages) analyzing European Social Survey (ESS) data.
An-/Abmeldung zur Leistungsüberprüfung Anmelden: Belegen; Abmelden: nicht erforderlich
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen nicht wiederholbar
Zuständige Fakultät Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch
Anbietende Organisationseinheit Fachbereich Politikwissenschaft

Zurück