Qualitative Data Analysis: Qualitative Analyses of Interview Data, 2–3 op
- Kuvaus
- Suoritustavat
- Suoritustapa 1
Osallistuminen opetukseen, englanti
Ohjelmassa oleva opetus
Qualitative Data Analysis: Qualitative Analyses of Interview Data, Qualitative Analyses of Interview Data, 2-3 ECTS
Learning outcomes
After the course, participants:
- recognize different approaches to reading, analyzing and interpreting interview data
- are aware of crucial issues concerning scientific and analytic rigour
- find relevant literature on theoretical and analytical aspects on interviews
- are able to discuss the validity and ethics of their own interview research
Teacher in charge: Kirsi Lumme-Sandt TAU
Number of students: 25
Evaluation: Active participation and approved completion of given course work.. Students presenting data or presenting on their ongoing analytic process will receive 3 ECTS, others 2 ECTS.
Timetable
Monday 2.12.
10.15 – 12.00 Introduction to the course and research projects of the participants (Kirsi Lumme-Sandt, TAU)
12.00 – 13.00 lunch
13.00 – 14.00 The variety of data generation and epistemological stances of interview data (Pirjo Nikander, TAU)
14.15 – 16.00 Discussion on participants’ data sets etc.
Tuesday 3.12.
9.30 – 12.00 Narrative analysis of interviews (Laura Karttunen, TAU)
12.00 – 13.00 lunch
13.00 – 14.30 Analysing group interviews: a focus on interaction (Ilkka Pietilä, Helsinki University)
14.45 – 16.00 presentations by participants
Wednesday 4.12.
9.30 – 12.00 Thematic and content analysis (Jari Kylmä, TAU & Minna Elomaa-Krapu, Metropolia)
12.00 – 13.00 lunch
13.00 – 15.00 presentations by participants
15.00 – 16.00 discussion
Enrolment period for autumn 2019 courses arranged in English language starts on 1 August 2019 in NettiOpsu system. Enrolment time ends on 31 August 2019. Hervanta campus doctoral researchers apply the right to study TAYJ modules from 1 August 2019 onwards through the service for cross-institutional studies at https://www10.uta.fi/ristiinopiskelupalvelu/?uiLang=en . The doctoral school study units can be found with code TAYJ. Enrollment is done in NettiOpsu system also in this case.