Zurück
| 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 | Wochentag | Zeit | Raum |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| 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 |