Universität Wien FIND
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230102 SE Introduction to Longitudinal Data Analysis (2022S)

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work

Covid19 Information zum Unibetrieb - aktuelle Bestimmungen:

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).


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 35 participants
Language: English


Classes (iCal) - next class is marked with N

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


Aims, contents and method of the course

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/

Assessment and permitted materials

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)

Minimum requirements and assessment criteria

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

Examination topics

Reading list

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.

Association in the course directory

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

Last modified: Fr 04.03.2022 12:09