Universität Wien

230215 SE Grounded Theory and Situational Analysis (2018S)

Methods of Qualitative Analysis

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

  • Dienstag 06.03. 09:30 - 11:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien (Vorbesprechung)
  • Dienstag 20.03. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 10.04. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 17.04. 09:30 - 13:15 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 24.04. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 08.05. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 15.05. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
  • Dienstag 12.06. 09:30 - 12:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This seminar will provide an introduction to qualitative data analysis based on grounded theory approaches. Grounded theory is one of the most common methods for analyzing qualitative data in social sciences. It is however not only a set of techniques such as coding or writing memos but a whole methodology aiming at the generation of theories based on empirical analysis. In this class, we will critically explore concepts, requirements and challenges of grounded theory and practice core methodological tools. We will focus in particular on 'constructivist grounded theory' (K. Charmaz) and on a more recent grounded theory approach, 'situational analysis' (A. Clarke).
The objective is to equip students with the necessary know-how to be able to analyze qualitative data in research projects. Students will gain experience in techniques such as preparing data, coding, writing memos or posing analytical questions for interpretation.
Particular emphasis will be put on developing practical skills in data analysis by working on small exercises in class and at home. In parallel, students will conduct their own research project together with colleagues on a topic that is defined in class to apply the acquired knowledge and experience. This project will be developed throughout the course of the semester. Students will receive continuous 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

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. Additional, optional literature will be provided by the lecturer based on the topics of the research teams.
Homework/assignments: complete all assignments (e.g. research plan, data collection exercise, coding exercise) 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 June 8th 2018 via e-mail and moodle.

Mindestanforderungen und Beurteilungsmaßstab

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, feedback on request
Assignments: 25 points, assessed individually, feedback on request
Presentation of results: 10 points, assessed as group work, feedback in class
Final Report: 45 points, assessed as a group work, feedback by lecturer

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 lecturer.

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 lecturer.
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


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:39