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220083 SE SE Master Seminar (2019W)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 16.09.2019 09:00 to We 18.09.2019 18:00
- Deregistration possible until Th 31.10.2019 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 08.10. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 22.10. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 05.11. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 19.11. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 03.12. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 17.12. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 14.01. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
- Tuesday 28.01. 13:00 - 16:00 Seminarraum 1 2H316 UZA II Rotunde
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be based on the following course requirements:
Research Idea: 5%
Literature Review: 15%
Concept Presentation: 15%
Written Concept: 60%
Participation: 5%
Research Idea: 5%
Literature Review: 15%
Concept Presentation: 15%
Written Concept: 60%
Participation: 5%
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%
Class attendance is mandatory.
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%
Class attendance is mandatory.
Examination topics
Reading list
American Psychological Association (2009). Publication manual of the American Psychological Association (6th ed.). Washington, DC: APA.
Hayes, Andrew F. (2005). Statistical methods for communication science. Mahwah, NJ: Lawrence Erlbaum Associates.
Creswell, John W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage.
Creswell, John W. (2015). A concise introduction to mixed methods research. Thousand Oaks, CA: Sage.
Hayes, Andrew F. (2005). Statistical methods for communication science. Mahwah, NJ: Lawrence Erlbaum Associates.
Creswell, John W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage.
Creswell, John W. (2015). A concise introduction to mixed methods research. Thousand Oaks, CA: Sage.
Association in the course directory
Last modified: Sa 02.04.2022 00:23
This seminar isn’t about a fixed working program you have to fulfill. The course units should be on the one hand a refresher course on the skills you have learned during your study: Doing communication research on your own. On the other hand, it should help you to focus on a research topic, to acquire state of the art knowledge on this topic, to identify a research gap on this topic, to draft a research design, narrow enough to be done in about 6 months, and to write a concept, so you can acquire a supervisor for further steps.
In order to provide students with assistance for their master thesis concept, the following topics will be discussed in class: Choosing a Research Topic / Finding the Research Gap, Research Resources & Reference Software Theory Building - Creativity - Theoretical Frames, “Correct” Methods (qualitative vs. quantitative) Research Design – Operationalization, Academic Language / Presenting at Conferences Academic, Publishing & Peer Review Process, Ethics in Academic Research