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Forschungsdesigns: Research Design- Dozent/in
- Prof. Dr. Michael Gebel
- Angaben
- Vorlesung
2 SWS
Zeit und Ort: Di 10:00 - 12:00, F21/02.55 (außer Di 24.10.2017, Di 7.11.2017); Einzeltermin am 20.11.2017, Einzeltermin am 15.1.2018, Einzeltermin am 22.1.2018, Einzeltermin am 29.1.2018 8:00 - 10:00, F21/01.35 (außer Di 30.1.2018); Einzeltermin am 6.2.2018 10:00 - 12:00, F21/01.37; Bemerkung zu Zeit und Ort: Bitte beachten: Der reguläre Termin am 30.01.2018 entfällt. Der Ersatztermin dafür findet am 29.01.18 in F21/01.35 von 08:00-10:00 statt.
- Voraussetzungen / Organisatorisches
- This is a compulsory course in the new Master s program in Sociology. It is recommended to take this course at the beginning of the Master s studies.
It is not necessary to register for the seminar in advance (e.g. via Flexnow, via email, etc.). More information about the course and registration guidelines will only be provided during the first lecture.
Language of instruction: English.
Module-related examination: Exam (time: 60min).
- Inhalt
- Learning targets: After successfully attending this lecture, participants will be able to
- postulate research questions;
- deduct and formulate hypotheses following the principles of theory-driven empirical research;
- explain and critically discuss advanced topics of causality and causal inference in experimental and non-experimental cross-sectional and longitudinal research designs.
Course contents: Participants will learn to formulate research hypotheses and to distinguish between different kinds of causal hypotheses. They will reflect on how to deduct hypotheses from theory according to the principles of theory-driven empirical social research. Rubin s notation of potential outcomes, which has become the backbone of modern causal analysis in social sciences, will be introduced. Moreover, directed acyclic graphs (DAGs) will be introduced because they offer an illustrative graphical approach to the problem of causal inference. Advanced topics of endogenous selection bias, common-cause confounding, and overcontrol bias will be discussed in the framework of DAGs. Advanced issues of validity, especially drawing causal inferences, will be addressed in experimental and non-experimental cross-sectional and longitudinal research designs. Throughout the course practical examples from empirical sociological research will be critically discussed.
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 60
- Institution: Lehrstuhl für Soziologie, insbes. Methoden der empirischen Sozialforschung
Hinweis für Web-Redakteure:
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