Einführung in Stata (Blockseminar)

Dozentinnen/Dozenten:

Simon Christoph, Daniel Zeddel, Svenja Schneider

Angaben:

Übung, 2 SWS

Termine:

Blockveranstaltung 22.10.2021-5.11.2021 Fr, 10:00 - 14:00, Raum n.V.

Voraussetzungen / Organisatorisches:

Wenn Sie das Angebot des Tutoriums wahrnehmen möchten, dann melden Sie sich bitte zu dem Tutorium über den VC an. Link zum VC-Kurs . Eine weitere Voranmeldung (z. B. über FlexNow, am Lehrstuhl etc.) zum Seminar ist nicht notwendig.

Das Seminar besteht aus Online-Videos, die Grundlagen der Datenbearbeitung in Stata erklären. Zu den angegeben Zeiten können individuelle Sprechstundentermine mit der Tutorin zu den im Kurs behandelten Aufgaben vereinbart werden.

Der Besuch des Tutoriums und die Sprechstundentermine sind Master-Studierenden der Soziologie vorbehalten.

Es handelt sich um ein freiwilliges Ergänzungsangebot zum Erwerb bzw. zur Auffrischung von Stata-Kenntnissen. Es werden keine ECTS-Punkte vergeben und die Veranstaltung ist nicht anrechenbar auf die Modulleistung.

Fortgeschrittene Verfahren der Längsschnittanalyse: Applied Panel Data Analysis

Dozentinnen/Dozenten:

Michael Gebel, Chen-Hao Hsu

Angaben:

Seminar, 4 SWS

Termine:

Mo, 8:00 - 12:00, Raum n.V.

Voraussetzungen / Organisatorisches:

Voraussetzungen / Organisatorisches Requirements:
Students have to be familiar with the contents of the compulsory lecture "Research design" and multiple linear and binary logistic regression analysis. Moreover, students are required to be familiar with the statistics package Stata. These skills could either be acquired or refreshed in self-studies or by attending an online tutorial course. Link to Stata Tutorial [https://univis.uni-bamberg.de/form?dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr_6&anonymous=1&ref=tlecture&sem=2021w&tdir=sowi/sozwiss/haupts/method]

Registration:
Please register in the VC of the event until 14.10.2021. Only the persons who are registered in the VC will receive all information about the course.

Type of instruction:
On-site teaching; only the introductory course is given online on 18 October. There will be no video recording. Changes are possible depending on the guidelines of the university.

Language of instruction:
English

Module exam:
Portfolio in English (time: 3 months)

Fortgeschrittene Verfahren der Längsschnittanalyse: Sequences of life: Depicting the life-course as a sequence of events

Dozent/in:

Sophia Fauser

Angaben:

Seminar, 4 SWS

Termine:

Mo, 14:00 - 18:00, RZ/00.05

Voraussetzungen / Organisatorisches:

Voraussetzungen / Organisatorisches: Students have to be familiar with the contents of the compulsory lecture “Research design”.
Students are required to be familiar with the statistics package Stata. These skills could either be acquired or refreshed in self-studies or by attending an online tutorial course. Link to Stata Tutorial
Moreover, familiarity with basic quantitative methods, such as (cross-sectional) multiple linear and binary regression analysis would be an advantage but is not required.

Registration: Please register in the VC of the event until 14.10.2021. Only the persons who are registered in the VC will receive all information about the course.

Type of instruction: On-site teaching; only the introductory course is given online on 18 October. There will be no video recording. Changes are possible depending on the guidelines of the university.
Language of instruction: English.

Module-related examination: Portfolio (time: 3 months); can be either written in English or German

Research Design (Übung)

Dozent/in:

Daniel Zeddel

Angaben:

Übung, 2 SWS

Termine:

Mi, 14:00 - 16:00, Raum n.V.

Voraussetzungen / Organisatorisches:

Registration: Please register for the course via the VC until October 14, 2021. All students who are registered will receive information about this course via the VC.

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 online classroom sessions (dates will be announced in first lecture/exercise). 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).

Research Design (Vorlesung)

Dozent/in:

Peter Valet

Angaben:

Vorlesung, 2 SWS

Termine:

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

Voraussetzungen / Organisatorisches:

Registration: Please register for the course via the VC until October 14, 2021. All students who are registered will receive information about this course via the VC.

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 online classroom sessions (dates will be announced in first lecture/exercise). 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).

S: Mixed-Mode-Surveys

Dozent/in:

Mark Trappmann

Angaben:

Hauptseminar, 2 SWS, Bitte tragen Sie sich bis zum 14.10.2021 in den VC (Virtuellen Campus) der Veranstaltung ein. Personen, die in den VC eingetragen sind, erhalten hierüber alle Informationen zur Lehrveranstaltung.

Termine:

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