Universität Wien

220076 VO VO Introduction to Data Analysis (2020W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Register/Deregister for this course

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The lecture will be an asynchronous digital class with scheduled 1:1 online meetings if needed. Depending on the situation in January 2021, the final class(es) will be held at seminar room 4.

  • Tuesday 06.10. 13:15 - 14:45 Digital
  • Tuesday 20.10. 13:15 - 14:45 Digital
  • Tuesday 03.11. 13:15 - 14:45 Digital
  • Tuesday 17.11. 13:15 - 14:45 Digital
  • Tuesday 01.12. 13:15 - 14:45 Digital
  • Tuesday 15.12. 13:15 - 14:45 Digital
  • Tuesday 12.01. 13:15 - 14:45 Digital

Information

Aims, contents and method of the course

The objective of this class is to make students acquaintance with basic theoretical and practical statistical and quantitative research concepts in communication research. After the completion of the class, students should be able to plan and construct most commonly needed quantitative analyses in our field based on their own quantitative research designs.

The content of the class will generically cover fundamental mathematical processes for all statistical tests.

Students will be proficient interpreting SPSS outputs, creating tables ready to be published in academic journals, and discussing as well as interpreting most common quantitative findings in our field.
In sum, the overall goal of the class is to provide students with the necessary conceptual and practical skills to feel comfortable collecting and analyzing data based on their own research questions and designs.

Attention: The courses VO Introduction to Data Analysis and UE Applied Data Analysis are linked.

Assessment and permitted materials

Written exam. Depending on any Covid-19-restrictions the exam may be conducted online.

Minimum requirements and assessment criteria

The grading scheme reads as follows:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfying): 63 - 74,99%
D = 4 (Sufficient): 50 - 62,99%
F = 5 (Not Sufficient): 00 - 49,99%

Examination topics

Contents discussed in lecture.

Reading list

Will be announced in the course.

Association in the course directory

Last modified: Fr 12.05.2023 00:20