Universität Wien

220076 VO VO Introduction to Data Analysis (2020W)

An/Abmeldung

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

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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.

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Mindestanforderungen und Beurteilungsmaßstab

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%

Prüfungsstoff

Contents discussed in lecture.

Literatur

Will be announced in the course.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:20