Universität Wien

220076 VO VO Introduction to Data Analysis (2022W)

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

  • Dienstag 18.10. 13:30 - 16:30 Seminarraum 16, Kolingasse 14-16, OG02
  • Dienstag 08.11. 13:30 - 16:30 Seminarraum 16, Kolingasse 14-16, OG02
  • Dienstag 22.11. 13:30 - 16:30 Seminarraum 16, Kolingasse 14-16, OG02
  • Dienstag 06.12. 13:30 - 16:30 Seminarraum 16, Kolingasse 14-16, OG02
  • Dienstag 17.01. 13:30 - 16:30 Seminarraum 16, Kolingasse 14-16, OG02

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The main goal of the course is to introduce students to the quantitative methods for conducting meaningful inquiry in communication research and provide them with practical knowledge of available statistical software tools. The course will cover all steps of data analysis from preparing and cleaning data to the choice of analytical approaches, and interpretation of the results, using current software tools. Students will gain an overview of research intent and design, methodology and technique, format and presentation, and data management and analysis informed by commonly used statistical methods. At the end of this class, students will acquire necessary conceptual and practical knowledge to collect and analyse data based on 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

Grading:
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%

Class attendance is mandatory. You are allowed to miss only one session (3 hours). Attendance of the first session is mandatory for all.

Prüfungsstoff

Contents discussed in the course.

Literatur

Diez, D. M., Çetinkaya-Rundel, M. & Barr, C. D. (2015). OpenIntro Statistics, American Institute for Mathematics. Available online as pdf.

Hayes, A. F. (2005). Statistical methods for communication science. Mahwah, NJ: Erlbaum

Additional literature will be provided via Moodle

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 22.09.2022 15:29