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Einrichtungen >> Fakultät Sozial- und Wirtschaftswissenschaften >>
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Lehrveranstaltungen
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Einführung in die Methoden der empirischen Sozialforschung Teil I -
- Dozent/in:
- Peter Valet
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Di, 8:00 - 10:00, F21/01.37
- Voraussetzungen / Organisatorisches:
- Empfohlen für 1. Semester
Eine Voranmeldung (z. B. über FlexNow oder per E-Mail) ist nicht notwendig!
Informationen zur Prüfungsanmeldung werden im Rahmen der ersten Veranstaltung mitgeteilt.
Modulprüfung: Klausur (60 min.)
- Inhalt:
- Lernziel:
Im Anschluss an die Veranstaltung können die TeilnehmerInnen die zentralen Schritte des Forschungsprozesses benennen und die zu treffenden Entscheidungen erörtern, die Grundprinzipien theoriegeleiteter empirischer Forschung nachvollziehen und Hypothesen formulieren, Probleme der Konzeptspezifikation, Operationalsierung und Messung erläutern und anhand von Beispielen praktisch umsetzen, die grundlegende Idee und praktische Umsetzung verschiedener Auswahlverfahren erläutern, verschiedene Datenerhebungsmethoden erklären und deren Vor- und Nachteile kritisch miteinander vergleichen.
Lerninhalte:
Die Veranstaltung thematisiert Grundlagen der empirischen Sozialforschung in folgenden Themenfeldern:
Phasen und Ablauf des Forschungsprozesses
Richtlinien zur Generierung und Auswahl von Forschungsfragen
Theoriegeleitete empirische Forschung: Theorien, Formulierung von Hypothesen und ihre empirische Prüfung
Konzeptspezifikation und Operationalisierung
Messung: Gütekriterien, Indexbildung und Skalierungsverfahren
Stichprobenbeziehung und Auswahlverfahren
Die Befragung als Datenerhebungsverfahren und Grundlagen der Fragebogenkonstruktion
Alternative Datenerhebungstechniken: Beobachtung, Inhaltsanalyse und nicht-reaktive Verfahren
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Forschungsdesigns: Research Design (Vorlesung) -
- Dozent/in:
- Peter Valet
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Mo, 14:00 - 16:00, KÄ7/00.10
- Voraussetzungen / Organisatorisches:
- The course Research Design is composed of a lecture and a complimentary exercise course. The lecture takes place every week; the exercise course consists of e-learning exercises and occasional classroom sessions (Oct 15, 2019; Nov 05, 2019; Dec 03, 2019; Dec 17, 2019; Jan 21, 2020). It is recommended to take this course at the beginning of the Master's studies.
It is not necessary to register for the course (lecture and exercise course) in advance (e.g., via FlexNow, via email, etc.). More information about the course and the registration guidelines will only be provided during the first lecture.
Language of instruction: English.
Module-related examination: Exam (time: 60 min).
- Inhalt:
- Learning targets:
After successfully attending the lecture and the exercise course, 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 the 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 common-cause confounding, overcontrol bias, and endogenous selection 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.
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Research Design (Vorlesung) -
- Dozent/in:
- Peter Valet
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Mo, 14:00 - 16:00, KÄ7/00.10
- Voraussetzungen / Organisatorisches:
- The course Research Design is composed of a lecture and a complimentary exercise course. The lecture takes place every week; the exercise course consists of e-learning exercises and occasional classroom sessions (Oct 15, 2019; Nov 05, 2019; Dec 03, 2019; Dec 17, 2019; Jan 21, 2020). It is recommended to take this course at the beginning of the Master's studies.
It is not necessary to register for the course (lecture and exercise course) in advance (e.g., via FlexNow, via email, etc.). More information about the course and the registration guidelines will only be provided during the first lecture.
Language of instruction: English.
Module-related examination: Exam (time: 60 min).
- Inhalt:
- Learning targets:
After successfully attending the lecture and the exercise course, 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 the 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 common-cause confounding, overcontrol bias, and endogenous selection 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.
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