Universität Wien

400010 SE Qualitative Content analysis (2024W)

Methodenseminar

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

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

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Am 10. Oktober beginnt die LV um 10:00.

  • Donnerstag 10.10. 09:45 - 13:00 Seminarraum 12, Kolingasse 14-16, OG01
  • Donnerstag 17.10. 10:00 - 13:15 Seminarraum 11 Vernetzungsraum für Vienna Doctoral School of Social Sciences, Kolingasse 14-16, OG01
  • Donnerstag 24.10. 10:00 - 13:15 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Donnerstag 31.10. 10:00 - 13:15 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Donnerstag 07.11. 10:00 - 13:15 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Donnerstag 21.11. 10:00 - 13:15 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The seminar is aimed at PhD students who (also) apply qualitative methods to their research projects (especially qualitative content analysis).

In this context, it is the goal of this course to theoretically discuss, and also practically apply qualitative content analysis to their concrete research projects. In doing so, the course attempts to provide tailored support to consolidate and advance the methodological design of the individual PhD projects.

Hence, the seminar focuses on the PhD students’ concrete and project-related interests and needs.

In the first unit, participants will briefly present their PhD project and indicate their specific needs for being able to apply qualitative content analysis. From unit 2 onwards, the units will comprise lecture formats (input provided) and interactive parts (in-class group works, short presentation of an article (applying qualitative content analysis), plenary discussions and specific PhD-related works).

Moreover, individual consultations will be possible during the units and/or additionally via consultation hours. Appointments will be arranged on individual basis.

Art der Leistungskontrolle und erlaubte Hilfsmittel

For a positive assessment, all partial achievements must be fulfilled.

The parts are weighted differently, for each one more than half of the maximum possible 100 points must be achieved.
- brief presentation of PhD project (10% of the grade)
- short presentation/introduction of an article/book chapter applying qualitative content analysis relevant to the individual PhD project (20% of the grade)
- contributions to in-class group work (15% of the grade)
- contribution to plenary discussions (15% of the grade)
- seminar paper (submission deadline see below) (40% of the grade)

To all these parts of assessment, students must contribute by their own; it is forbidden to use AI (e.g. ChatGPT), ghostwriting and/or plagiarism (for consequences of using such unallowed aids for contributing to this seminar see information on the issue provided by the University of Vienna).

Submission deadline for the final work (seminar paper): 15.1.2025, 23:59 (Upload via the seminar’s Moodle platform)

Mindestanforderungen und Beurteilungsmaßstab

- brief presentation of the PhD project
- short presentation/introduction of an article/book chapter applying qualitative content analysis relevant to the individual PhD project
- contribution to in-class group works
- contribution to plenary discussions
- seminar paper (summing up the information received in qualitative content analysis and outlining the concrete application of qualitative content analysis in the PhD project)

Prüfungsstoff

Not applicable. This is a seminar with continuous assessment.

Literatur

Booth, W., Colomb, G. G. and Williams J. M. (2003). The Craft of Research. Chicago, London: The University of Chicago Press.
Bücker, N. (2020). Kodieren aber wie? Varianten der Grounded Theory-Methodologie und der qualitativen Inhaltsanalyse im Vergleich. Forum: Qualitative Social Research, 21(1) [in German]. https://www.qualitative-research.net/index.php/fqs/article/view/3389/4508 (retrieved 1.5.2024)
Elo, S. and Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115.
Harwood, T. G. and Garry, T. (2003). An overview of content analysis. Marketing Review, 3(4), 479-498.
Hsieh, H-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288.
Kracauer, S. (1952). The challenge of qualitative content analysis. Public Opinion Quarterly, 16, 631-642.
Kuckartz, U. (2014). Qualitative Text Analysis: A Guide to Methods, Practice & Using Software. London et al.: Sage.
Gläser, J. and Laudel, G. (2013). Life With and Without Coding: Two Methods for Early-Stage Data Analysis in Qualitative Research Aiming at Causal Explanations. Forum: Qualitative Social Research, 14(2). https://www.qualitative-research.net/index.php/fqs/article/view/1886 (retrieved 1.5.2024)
Mayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2). https://www.qualitative-research.net/index.php/fqs/article/view/1089 (retrieved 1.5.2024)
Mayring, P. (2014). Qualitative content analysis: theoretical foundation, basic procedures and software solution. Klagenfurt. https://nbn-resolving.org/urn:nbn:de:0168-ssoar-395173 (retrieved 1.5.2024)
Mayring, P. (2022). Qualitative Content Analysis. A Step-by-Step Guide. London et al.: Sage.
Moretti, F., van Vliet, L., Bensing, J., Deledda, G., Mazzi, M., Rimondini, M., Zimmermann, C., and Fletcher, I. (2011). A standardized approach to qualitative content analysis of focus group discussions from different countries. Patient Education and Counseling, 82(3), 420-428.
Schreier, M. (2012). Qualitative content analysis in practice. London et al.: Sage.
Schwartz-Shea, P. and Yanow, D. (2012). Interpretive Research Design. London: Routledge.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 20.08.2024 11:46