Universität Wien

220077 UE UE Applied Data Analysis (2018W)

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

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

"UE Applied Data Analysis" is complementary to "VO Introduction to Data Analysis". The course will start wit the VO on Oct 16. From then onwards, we will meet every week (UE/VO altering), except for the winter break. The last meeting, in which we will also write the exam, takes place on Jan 29.

  • Dienstag 23.10. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II
  • Dienstag 06.11. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II
  • Dienstag 20.11. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II
  • Dienstag 04.12. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II
  • Dienstag 08.01. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II
  • Dienstag 22.01. 13:15 - 14:45 EDV-Raum 4 2C502 5.OG UZA II

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. However, more emphasis will be placed on the general understanding of all necessary methodological concepts to execute quantitative empirical tests with R.

Students will be proficient interpreting R 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.

In order to do so, the following topics will be covered:

Introduction to Statistical Methods (e.g., mean, variance, standard deviation)
Introduction to R / R workspace
R Data Handling (enter, edit and save data)
Exploring Assumptions for Analyses
Exploring Data with Graphs in R (scatterplot, histograms, boxplots)
Correlation
Regression
Exploratory Factor Analysis
Comparing Two Means (T-Test)
ANOVA / ANCOVA
Elective topics: Logistic Regression, MANOVA, Latex etc.

Attention: The courses VO Introduction to Data Analysis and UE Applied Data Analysis are linked. Phases of lecture and exercise will alternate.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Assessment will be based on the following course requirements:
Participation and Attendance
Exercises: In-Class / Homework

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

Literatur

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Sa 02.04.2022 00:23