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220076 VO VO Introduction to Data Analysis (2016W)
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Details
max. 30 participants
Language: English
Examination dates
- Wednesday 01.02.2017 11:15 - 14:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Tuesday 07.03.2017 09:45 - 13:00 Seminarraum 12, Währinger Straße 29 2.OG
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 19.10. 09:45 - 12:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Wednesday 16.11. 09:45 - 12:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Wednesday 30.11. 09:45 - 14:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Wednesday 14.12. 09:45 - 14:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Wednesday 18.01. 09:45 - 14:45 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
- Wednesday 01.02. 11:15 - 14:45 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. 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
100% Final Exam (Open Questions, SPSS Analysis Tasks & Discussion)
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:39