Universität Wien

220043 SE SE Advanced Data Analysis 1 (2017S)

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

Topic: Qualitative Research and Visual Communication
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

  • Monday 20.03. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 27.03. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 03.04. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 24.04. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 08.05. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 15.05. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 22.05. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 29.05. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 12.06. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 19.06. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG
  • Monday 26.06. 13:15 - 14:45 Seminarraum 10, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

During this course, students will understand the basic rational of qualitative research and will discover its strengths and weaknesses compared to quantitative research. Students will be instructed to develop research questions that can be answered by applying qualitative methods. Furthermore, participants of this course will get insights into various qualitative methods of data gathering with special emphasis on (narrative, semi-structured, and expert) interviews. Students will learn about sampling strategies, field access and ethical implications of qualitative research. More specifically, they will apply a qualitative method and set up a respective instrument. During the course, software-based solutions for analyzing qualitative data will be introduced and applied by the students.

Assessment and permitted materials

Throughout the semester, students will be asked to do homework and upload them on the Moodle platform. On three occasions (two within the semester, one after), they have to complete tasks which are closely related to the research process (developing research questions, setting up research instruments, analyzing qualitative data).

Minimum requirements and assessment criteria

Participants will have to attend regularly (at least 8 out of 11 times) and complete at least 4 of 6 tasks that are provided at the end of the lessons (and uploaded on Moodle) - so-called 'Homework'. Furthermore, participants have to complete each of the three 'major tasks' ( (1) writing a proposal for a qualitative study, (2) setting up a qualitative instrument for the respective research and (3) analyzing qualitative data (which can be provided by the seminar leader) and writing the result section for a repective report.

The final course grade will be calculated by taking into account the grades for four individual tasks: active involvement (including the quality of homework; 10%); proposal for qualitative research project (30%); instrument for qualitative research (30%); data analysis and result section for a project report (30%)

Examination topics

Reading list

tba

Association in the course directory

Last modified: Mo 07.09.2020 15:38