Universität Wien

220076 VO VO Introduction to Data Analysis (2017W)

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

Details

max. 30 participants
Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 10.10. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 17.10. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 24.10. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 31.10. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 07.11. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 14.11. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 21.11. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 28.11. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 05.12. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 12.12. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 09.01. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 16.01. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG
  • Tuesday 23.01. 15:00 - 16:30 Lehrredaktion Publizistik, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

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 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. In order to do so, the following topics will be covered:
Introduction to SPSS
SPSS Data File Creation / Handling
Data Modification and File Management
Frequency, Distribution and Graphics
Central Tendency and Split Files
Variance, Standard Deviation and Standard Scores
Correlation
Internal Reliability
Factor Analysis
T-Test
ANOVA
Association versus Causality
Partial Correlation
Linear Regression

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

Assessment will be based on the following course requirement:
Final Exam (Open Questions, SPSS Analysis Tasks and Discussion): 100%

Minimum requirements and assessment criteria

The grading scheme reads as follows:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfactory): 63 - 74,99%
D = 4 (Enough): 50 - 62,99%
F = 5 (Not Enough): 00 - 49,99%

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:39