PWM-ME-HS1: Grundlagen der Wissenschaftstheorie (PolMeth I, Seminarsprache Englisch)

Dozent/in:

Johannes Marx

Angaben:

Seminar, 2 SWS

Termine:

Do, 10:00 - 12:00, Raum n.V.

Voraussetzungen / Organisatorisches:

Besonderheiten im Wintersemester 2021/22:
Mischung aus wöchentlichen Online-Sitzungen zur angegebenen Zeit (via Zoom) und asynchronen Elementen (Referate müssen vor den Seminarsitzungen aufgenommen und in den VC geladen werden, Forumsdiskussion).

Leistungsnachweis:
Referat und Hausarbeit, Abgabetermin: 31.03.2022

Anmeldung in FlexNow zur Prüfung, NICHT zur Lehrveranstaltung:
30.09.2021 (ab 10 Uhr) - 14.10.2021 (bis 23:30 Uhr)

Abmeldung in FlexNow:
möglich bis 29.10.2021(bis 23:30 Uhr)

Anmeldung technisch nicht möglich:
Falls das WS2021/22 Ihr erstes Semester an der Uni Bamberg ist und Sie deswegen noch keine Zugangsdaten haben, um sich in FlexNow anzumelden oder das Anmeldefenster bereits geschlossen sein, so kontaktieren Sie das Sekretariat.

Wichtig:
Bitte abonnieren Sie außerdem politikwissenschaft-liste.sowi@uni-bamberg.de über die Seite iam.uni-bamberg.de (und dort dann "Verteilergruppen Eigene Mitgliedschaften") und beachten Sie die Hinweise zum Studium der Politikwissenschaft.

Inhalt:

This course introduces into the terminology and basic methods of argumentation for political scientists. In the beginning of the seminar, we will deal with the appropriate form and function of arguments. By analyzing text samples, we will learn to identify valid and invalid forms of argumentation. Subsequently, the method of reconstruction will be introduced, which is applied to evaluate arguments. At the same time participants will become familiar with basic logic. In the end, students are taught to identify and avoid typical fallacies in argumentation. The aim of this course is to develop a critical stance towards scientific terminology and to acquire the competence of writing proper scientific texts. This course is taught in English.

Empfohlene Literatur:

Sinnott-Armstrong, Walter and Vogelin, Robert 2015: Understanding Arguments. An Introduction to Informal Logic.

PWM-ME-HS3 "Introduction to Statistics for Social Science (Mi, 12-14)

Dozent/in:

Lukas Hohendorf

Angaben:

Seminar, 2 SWS

Termine:

Mi, 12:00 - 14:00, Raum n.V.

Voraussetzungen / Organisatorisches:

Prerequisites/Zulassungsvoraussetzungen: BA or equivalent qualification in Political Science, no prior statistical (or computing) knowledge is required.
The seminar will be taught in a synchronous online format with weekly Zoom meetings; details will be announced via the Virtual Campus (VC) Registered participants will be sent the Virtual Campus password via e-mail.

The tutorial with application exercises on 18th November, 9th December and 20th January (14-16h) will most likely be taught in person. In case of high demand for the tutorial, a second tutorial group may be created on a different date.

Start date/Beginn: Mo 20 Oct 2021

Assessment/Erwerb eines Leistungsnachweises:
Three problem sets and one term paper. Regular and active participation in the seminar is expected.

Registration/Anmeldung in FlexNow!: 30. September 2021 bis 14. Oktober 2021
Deregistration/Abmeldung in FlexNow!: 30. September 2021 bis 29. Oktober 2021

ECTS: 8

Office hours during semester: Tuesday 14-16h (on demand), lukas.hohendorf(at)uni-bamberg.de

Inhalt:

This course is an introduction to statistics in empirical political research and introduces the basic methods of data analysis using the statistical package Stata. It is designed as a refresher course for master students with little statistical training during their Bachelor degree. The course mainly covers descriptive statistics, probability distributions, statistical inference, correlation, and bivariate and multiple regression. At the end of the seminar, more advanced regression techniques (logistic regression and panel regression) are briefly introduced. Besides, there are two sessions where we will learn how to perform basic statistical analysis with the software package Stata.

Empfohlene Literatur:

Agresti, Alan and Barbara Finlay (2008). Statistical Methods for the Social Sciences. 4thEdition. Upper Saddle River: Prentice Hall.

Kellstedt, Paul & Guy Whitten (2013). The Fundamentals of Political Science Research, 2nded. Cambridge, UK: Cambridge University Press.

Kohler, Ulrich and Frauke Kreuter (2012). Data Analysis Using Stata. Third Edition. College Station, Texas: Stata Press.

Tutorium zu PWM-VP-HS3 Introduction to statistics for social science

Dozent/in:

N.N.

Angaben:

Tutorien

Termine:

Do, 14:00 - 16:00, RZ/00.06
Insgesamt drei Termine im angegebenen Zeitraum
vom 18.11.2021 bis zum 20.1.2022

Voraussetzungen / Organisatorisches:

The tutorial with application exercises on 18th November, 9th December and 20th January (14-16h) will most likely be taught in person. In case of high demand for the tutorial, a second tutorial group may be created on a different date.

Schlagwörter:

Tutorium zu PWM-VP-HS3 Introduction to Statistics for Social Scientists

PWM-ME-HS5: Politikwissenschaftliche Methoden V "Research Design and Causal Inference" (Mo, 10-12)

Dozent/in:

Ulrich Sieberer

Angaben:

Hauptseminar, 2 SWS, ECTS: 8

Termine:

Mo, 10:00 - 12:00, Raum n.V.

Voraussetzungen / Organisatorisches:

The seminar will most likely be taught in a synchronous online format with weekly Zoom meetings; details will be announced via the Virtual Campus (VC)

Prerequisites/Zulassungsvoraussetzungen:
BA or equivalent qualification in Political Science. A basic understanding of positive political theory is recommended.

Start date/Beginn:
Mo 18.10.2021

Registration/Anmeldung in FlexNow!: 30. September 2021 bis 14. Oktober 2021
Deregistration/Abmeldung in FlexNow!: 30. September 2021 bis 29. Oktober 2021

Assessment/Erwerb eines Leistungsnachweises:
Evaluation will be a combination of a term paper (70%) and an oral participation (30%). The entire class, including written work and oral presentations, will be conducted in English.

ECTS credits: 8

Sprechstunde nach Vereinbarung: ulrich.sieberer(at)uni-bamberg.de

Inhalt:

The course is designed as a review on research design, especially the logic of causal inference. It will cover the entire research process in empirical-analytical political science research from finding a research question via placing it in the context of exiting research, formulating a theory, deriving hypotheses, operationalizing and measuring core concepts, testing hypotheses to finally interpreting results and relating them to exiting work. A special focus will be on the conditions that allow for causal inferences in different research designs, both in the tradition of causal effects and causal mechanisms.

Even though the terms are often used similarly, research design is not the same as methods. Research design covers the plan how you address your question and how you want to answer it. Methods are specific analysis tools used in carrying out this plan. The course focuses on the logic of research design, not the specific methods needed to carry out such a design. It is designed to enable students to understand and choose a research design and provides starting points for delving deeper into specific designs.

The course will combine online lecture elements with in-class discussion and interactive work that apply general lessons to specific research papers and projects.

Empfohlene Literatur:

A detailed list of literature will be provided in class. For preparation, I recommend the following books:

Toshkov, Dimiter. 2016. Research Design in Political Science. London: Palgrave Macmillan Education.

Gerring, John. 2012. Social Science Methodology. A Unified Framework. Cambridge: Cambridge University Press.

Morgan, Stephen L. und Christopher Winship. 2007. Counterfactuals and Causal Inference. Methods and Principles for Social Research. Cambridge: Cambridge University Press.

PWM-ME-HS2 Hauptseminar Politikwissenschaftliche Methoden II: Qualitative Methods

Dozent/in:

Monika Heupel

Angaben:

Hauptseminar, 2 SWS

Termine:

Do, 8:00 - 10:00, F21/03.84