Course "Qualitative Data Analysis with NVivo"

This course combines the basic concepts of qualitative data analysis with the essential features of NVivo 12 Pro. This is the course you need if you are new to qualitative analysis and want to use NVivo from a methodological standpoint. The course, of 2-day duration, is structured around four modules and follows the logical sequence of the process of qualitative data analysis. You will learn to:
1. Relate ontology, epistemology with the different methods of qualitative analysis
2. Create and NVivo project, import and organise qualitative and quantitative data
3. Manage a literature review in NVivo
4. Autocode structured data deductively and identify themes inductively
5. Generate and falsify hypotheses
6. Combine data in sets for management and analysis
7. Seek patterns and identify relationships across codes and cases
8. Present findings using visualisations
9. Export data out of NVivo
10. Coordinate teamwork.
 
The course blends lectures with hands-on exercises during which the concepts associated with qualitative data analysis are put into practice in NVivo. Time is also allocated for the participants to work on their own data or, alternatively, on their literature review if no data have been gathered yet. Note that this course covers only the most salient features of NVivo and does not teach how to analyse qualitative data according to specific methods such as thematic analysis, grounded theory, content analysis, discourse analysis, etc.

Course detailed outline  

The certificates will be provided for the participants who will pass the full course.  

REGISTER HERE

Schedule

Monday, 20.01.2020, room M-135

9.00.-10.30 Session I
Coffee & tea break
11-12.30 Session II
Lunch break (self-organised)
13.30.-15.00 Session III
Coffee & tea break
15.30-17.00 Session IV

Tuesday, 21.01.2020, room M-135

9.00-10.30 Session V
Coffee & tea break
11-13.00 Session VI

Wednesday, 22.01.2020, room M-649

9.00.-10.30 Session VII
Coffee & tea break
11-13.00 Session VIII
 

Activity is financed by the European Regional Development Fund through the institutional package measure for R&D institutions and higher education institutions (ASTRA project TLU TEE of Tallinn University) and is organised by TLU Centre of Excellence in Interdisciplinary Lifecourse Studies.