Universität Wien

230102 SE Introduction to Longitudinal Data Analysis (2022S)

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung
DIGITAL

Covid19 Information zum Unibetrieb - aktuelle Bestimmungen:
https://www.univie.ac.at/ueber-uns/weitere-informationen/coronavirus/?pk_campaign=HomeDE&pk_kwd=Covid-Infolink

Rahmenbedingungen für digitale Prüfungen (Soziologie) https://soziologie.univie.ac.at/info/digpruef/

Allgemeiner Hinweis: Für die Teilnahme an Lehrveranstaltungen in digitaler Form sind eine - möglichst stabile - Internetverbindung und die technischen Möglichkeiten erforderlich, um an Online-Einheiten partizipieren zu können (Computer, Mikro, ggf. Webcam).

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 07.03. 15:00 - 16:30 Digital
  • Montag 14.03. 15:00 - 16:30 Digital
  • Montag 21.03. 15:00 - 16:30 Digital
  • Montag 28.03. 15:00 - 16:30 Digital
  • Montag 04.04. 15:00 - 16:30 Digital
  • Montag 25.04. 15:00 - 16:30 Digital
  • Montag 02.05. 15:00 - 16:30 Digital
  • Montag 09.05. 15:00 - 16:30 Digital
  • Montag 16.05. 15:00 - 16:30 Digital
  • Montag 23.05. 15:00 - 16:30 Digital
  • Montag 30.05. 15:00 - 16:30 Digital
  • Montag 13.06. 15:00 - 16:30 Digital
  • Montag 20.06. 15:00 - 16:30 Digital
  • Montag 27.06. 15:00 - 16:30 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course aims to introduce students to longitudinal data analysis and provide students with the practical skills of performing basic longitudinal analysis.

We will discuss the concepts, designs and terms of longitudinal research; publications with applications of longitudinal data analysis; different techniques for longitudinal data analysis; among others.

To participate in this course it is necessary that a stable internet connection, a computer with webcam/microphone and the possibility to use STATA are available.
Students can obtain the software at a reduced price from the ZID: https://zid.univie.ac.at/software-fuer-studierende/

Art der Leistungskontrolle und erlaubte Hilfsmittel

Important Grading Information:
If not explicitly noted otherwise, all requirements mentioned in the grading scheme must be met. If a required task is not fulfilled, this will be considered as a discontinuation of the course. In that case, the course will be graded as 'fail' (5), unless there is a major and unpredictable reason for not being able to fulfill the task on the student's side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. Whether this exception applies is decided by the lecturer.
If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded a 'not assessed' and will be entered into the electronic exam record as ‘fraudulently obtained’.

The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading: Details will be announced by the lecturer.

In case you have received three negative assessments of a continuously assessed course and want to register for a fourth attempt, please make sure to contact the StudiesServiceUnit Sociology. (for more information see "third attempt for continuously assessed courses" https://soziologie.univie.ac.at/info/pruefungen/#c56313)

Mindestanforderungen und Beurteilungsmaßstab

Assessment criteria: Every performance component will receive a grade.

- Final seminar paper (50%)
- Oral presentation (30%)
- Active participation (20%)

Grades for the entire course will be assigned as follows:
1 (Excellent): 89-100
2 (good): 76-88
3 (satisfactory): 64-75
4 (sufficient): 50-63
5 (fail): 0-49

Prüfungsstoff

Literatur

Andreß, H.-J., Golsch, K. & Schmidt, A. W. (2013) Applied Panel Data Analysis for Economic and Social Surveys. Springer

Complete list will be announced in the course and on Moodle.

Zuordnung im Vorlesungsverzeichnis

in 505: UE im BA SM Wahlmodul
in 905: UE im MA SE Soziologische Erweiterung

Letzte Änderung: Do 11.05.2023 11:28