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Vorlesungsverzeichnis >> Fakultät Sozial- und Wirtschaftswissenschaften >> Bachelor-/Masterstudiengang Soziologie >> Master Soziologie >>
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Methoden der empirischen Sozialforschung inkl. Studienschwerpunkt
Lehrveranstaltungen der Modulgruppe B] Methoden der empirischen Sozialforschung und des Kernbereichs der Modulgruppe C3] Empirische Sozialforschung
Zur aktuellen Zusammensetzung der Module
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Fortgeschrittene Analysemethoden der quantitativen Sozialforschung: Ereignisanalyse II Diskrete Modelle (Vorlesung) -
- Dozent/in:
- Hans-Peter Blossfeld
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Di, 14:00 - 16:00, FMA/00.07
- Voraussetzungen / Organisatorisches:
- Besuch der Vorlesung ist nur parallel mit der Übung Ereignisanalyse möglich. Eine Anmeldung ist für die Vorlesung und Übung, über FlexNow, erforderlich!
The seminar is divided into a lecture and computer exercises. In the WS 2019/20, the aim of the lecture (2 hours each week) and the computer exercises (2 hours each week) is to introduce students into the models of discrete-time event history analysis, including data preparation, statistical considerations as well as substantive applications. We will in detail discuss the analysis of data with different time-aggregations and the potential impact of these aggregations on the estimated coefficients of time-constant and time-varying covariates. All discrete-time models are demonstrated on the basis of various concrete application examples in the social sciences.
It is not necessary that students took part in the SS 2019 lecture/exercises on continuous-time event history analysis. However, researchers are expected to have a basic knowledge of Stata. Students also have the possibility to discuss analysis problems and present their own event history applications. Participants can get credits by submitting defined exercises that will be specified during the course. The Stata computer exercises will be given by Dr. Gwendolin J. Blossfeld. She will also assist students if they have Stata problems and help them in making their exercises. More details on the assignments will be given during the introductory meetings.
Depending on participants’ requests, the lectures/exercises will be given in German or English.
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Fortgeschrittene Verfahren der Längsschnittanalyse: Ereignisanalyse II Diskrete Modelle (Vorlesung) -
- Dozent/in:
- Hans-Peter Blossfeld
- Angaben:
- Vorlesung, 2 SWS
- Termine:
- Di, 14:00 - 16:00, FMA/00.07
- Voraussetzungen / Organisatorisches:
- Besuch der Vorlesung ist nur parallel mit der Übung Ereignisanalyse möglich. Eine Anmeldung ist für die Vorlesung und Übung, über FlexNow, erforderlich!
The seminar is divided into a lecture and computer exercises. In the WS 2019/20, the aim of the lecture (2 hours each week) and the computer exercises (2 hours each week) is to introduce students into the models of discrete-time event history analysis, including data preparation, statistical considerations as well as substantive applications. We will in detail discuss the analysis of data with different time-aggregations and the potential impact of these aggregations on the estimated coefficients of time-constant and time-varying covariates. All discrete-time models are demonstrated on the basis of various concrete application examples in the social sciences.
It is not necessary that students took part in the SS 2019 lecture/exercises on continuous-time event history analysis. However, researchers are expected to have a basic knowledge of Stata. Students also have the possibility to discuss analysis problems and present their own event history applications. Participants can get credits by submitting defined exercises that will be specified during the course. The Stata computer exercises will be given by Dr. Gwendolin J. Blossfeld. She will also assist students if they have Stata problems and help them in making their exercises. More details on the assignments will be given during the introductory meetings.
Depending on participants’ requests, the lectures/exercises will be given in German or English.
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Forschungsdesigns: Research Design (Übung) -
- Dozent/in:
- Jonas Voßemer
- Angaben:
- Übung, 2 SWS
- Termine:
- Einzeltermin am 15.10.2019, Einzeltermin am 5.11.2019, Einzeltermin am 3.12.2019, Einzeltermin am 17.12.2019, Einzeltermin am 21.1.2020, Einzeltermin am 28.1.2020, 10:00 - 14:00, F21/02.55
- 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).
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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).
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Research Design (Übung) -
- Dozent/in:
- Jonas Voßemer
- Angaben:
- Übung, 2 SWS
- Termine:
- Einzeltermin am 15.10.2019, Einzeltermin am 5.11.2019, Einzeltermin am 3.12.2019, Einzeltermin am 17.12.2019, Einzeltermin am 21.1.2020, Einzeltermin am 28.1.2020, 10:00 - 14:00, F21/02.55
- 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).
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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).
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