Universität Wien

220077 UE UE Applied Data Analysis (2015W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Continuous assessment of course work
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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 15.10. 11:30 - 14:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 19.10. 15:15 - 18:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 26.10. 10:00 - 17:00 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 07.12. 15:15 - 18:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 07.12. 18:15 - 19:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 11.01. 15:15 - 18:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Monday 25.01. 15:15 - 18:15 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
    Seminarraum 10, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

The objective of the class is for students to become 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 SPSS. From data generation to data manipulation. 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. Phases of lecture and exercise will alternate.

Assessment and permitted materials


75% Final Exam (Open Questions and SPSS Analysis Tasks & Discussion)
10% Attendance
15% Exercises (If In-Class or Home assignments will depend on the progress during the course)

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:39