|
|
PWM-ME-HS5: "Research Design and Causal Inference" (Mo 12-14)- Dozent/in
- Dr. Alexander Herzog
- Angaben
- Seminar
Rein Präsenz
2 SWS, Unterrichtssprache Englisch
Zeit und Ort: Mo 12:00 - 14:00, F21/02.31
- Voraussetzungen / Organisatorisches
- Prerequisites/Voraussetzungen: BA in political science or a comparative qualification (for students with foreign degrees). Basic knowledge of research methods and experience in structuring and writing academic papers. Teaching language is English so sufficiently good English is required.
Assessment/Erwerb eines Leistungsnachweises: Portfolio
Registration in FlexNow: 04 October2023 (10:00) until 26 Oktober 2023 (23:59)
Deregistration in FlexNow: 04 October2023 (10:00) until 26 Oktober 2023 (23:59)
Start: 16. October 2023
ECTS credits: 8
Consultation hours on demand/Sprechstunde nach Vereinbarung: alexander.herzog(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 existing research, formulating a theory, deriving hypotheses, operationalizing and measuring core concepts, testing hypotheses to finally interpreting results and relating them to existing 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 interchangeably, 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. This course primarily focuses on the logic of research design. It is designed to enable students to understand and choose a research design and provides starting points for delving deeper into specific designs. Specific methods for implementing causal research designs will be discussed for selected topics.
- Empfohlene Literatur
- A detailed reading list will be uploaded to the VC Course. As an introduction to the topic, the following readings are recommended:
Toshkov, Dimiter. Research Design in Political Science. London: Palgrave Macmillan Education, 2016.
Gerring, John. Social Science Methodology. A Unified Framework. Cambridge: Cambridge University Press, 2012.
Morgan, Stephen L. und Christopher Winship. Counterfactuals and Causal Inference. Methods and Principles for Social Research. Cambridge: Cambridge University Press, 2007.
- Englischsprachige Informationen:
- Title:
- PWM-ME-HS5: "Research Design and Causal Inference"
- Credits: 8
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20
- Institution: Lehrstuhl für Empirische Politikwissenschaft
Hinweis für Web-Redakteure:
Wenn Sie auf Ihren Webseiten einen Link zu dieser Lehrveranstaltung setzen möchten, verwenden Sie bitte einen der folgenden Links:Link zur eigenständigen Verwendung Link zur Verwendung in Typo3
|
 |
|
|
UnivIS ist ein Produkt der Config eG, Buckenhof |
|
|