220076 VO VO Introduction to Data Analysis (2022W)
Labels
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.
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.
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: ErlbaumAdditional literature will be provided via Moodle
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 22.09.2022 15:29