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230136 SE Analysing Data: Qualitative research methods (2016S)

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 14.04. 09:30 - 11:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 21.04. 09:30 - 12:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 28.04. 09:30 - 12:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Mittwoch 11.05. 09:00 - 12:15 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 19.05. 09:30 - 12:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 02.06. 09:30 - 12:45 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Donnerstag 30.06. 09:30 - 13:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This seminar will provide an overview of different methods of qualitative data analysis based on a broad range of analytic traditions, e.g. grounded theory, situational analysis, critical discourse analysis.
We will critically explore concepts, requirements and challenges of different approaches as well as different data types in class. The objective is to equip students with the necessary experience to be able to select appropriate methods for their own research questions.
Particular emphasis will be put on developing practical skills in data collection, preparation and analysis by working on small excercises in class and at home. Students will gain experiences in techniques such as gathering and classifying data, coding, writing memos or posing analytical questions for interpretation.
In parallel, students will conduct their own research project together with colleagues on a topic that is defined in class to apply the knowlege and experiences gained. This project will be developed throughout the course of the semester. Students will receive continous feedback and support by the lecturer and are expected to present their result at the end of the course in class as well as write them up in a research report.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Course Assessment
To pass the seminar, students are expected to complete the following tasks:
· Participation: read and prepare the mandatory literature for discussion in class, and participate actively in discussions as well as exercises in class.
· Homework/assignments: complete all assignments (e.g. research plan, data collection exercise, coding excercise) in compliance with deadlines throughout the semester.
· Presentation of results: participate in a group which plans and conducts a small research project. Present the results in the last session of the course.
· Final report: write a research report based on a given template at the end of the course. This report is to be handed in until August 31 2016 via e-mail and moodle.

Mindestanforderungen und Beurteilungsmaßstab

Grading Scheme
The grading scheme is based on a total of 100 points. These points will be awarded in relation to students’ performance in meeting the course learning aims in the different obligatory tasks.
The maximum number of points to be acquired for each task is:
Participation: 20 points, assessed individually
Assignments: 25 points, assessed individually
Presentation of results: 10 points, assessed as group work
Final report: 45 points, assessed as group work (negotiable)

Minimum requirements
A minimum of 50 points is necessary to successfully complete the course. Failure to meet the attendance regulations, to deliver course assignments on time or to adhere to standards of academic work may result in a deduction of points.

Grades
100-87 points Excellent (1)
86-75 points Good (2)
74-63 points Satisfactory (3)
62-50 points Sufficient (4)
49-0 points Unsatisfactory (5) (fail)

Attendance
Presence and participation is compulsory. Absences of four hours at maximum are tolerated, provided that the lecturer is informed about the absence. Absences of up to eight hours in total may be compensated by either a deduction of grading points or/and extra work agreed with the lecturer. Whether compensation is possible is decided by the lecturer.
Absences of more than eight hours in total cannot be compensated. In this case, or if the lecturer does not allow a student to compensate absences of more than four hours, the course cannot be completed and is graded as a 'fail' (5), unless there is a major and unpredictable reason for not being able to fulfil the attendance requirements on the student’s side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. It is the student’s responsibility to communicate this in a timely manner, and to provide relevant evidence to their claims if necessary. Whether this exception applies is decided by the vice-director of studies responsible for the master programme.

Important Grading Information
If not explicitly noted otherwise, all requirements mentioned in the grading scheme and the attendance regulations must be met. If a required task is not fulfilled, e.g. a required assignment is not handed in or if the student does not meet the attendance requirements, this will be considered as a discontinuation of the course. In that case, the course will be graded as 'fail' (5), unless there is a major and unpredictable reason for not being able to fulfill the task on the student's side (e.g. a longer illness). In such a case, the student may be de-registered from the course without grading. It is the student’s responsibility to communicate this in a timely manner, and to provide relevant evidence to their claims if necessary. Whether this exception applies is decided by the vice-director of studies responsible for the master programme.
If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as 'not assessed' and will be entered into the electronic exam record as 'fraudulently obtained'. Self-plagiarism, particularly re-using own work handed in for other courses, will be treated likewise.

Prüfungsstoff

Literatur

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Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:39