RSS02.B4 Qualitative Data Analysis: Research Designs and Practices

Qualitative data analysis is the contextualized feature of a research process that cannot be separated from the conceptual problems that the research is analyzing in relation to the data collected. Due to its contextualized nature, work with qualitative data is carried out through numerous approaches and within different qualitative methodologies that can direct the collection and analysis of qualitative data in a very diverse way.

This course empowers participants to successfully integrate qualitative data analysis into comparable case and process tracing strategies as two widely used case-based research designs. To achieve this, the course uses thematic analysis as one of the most popular methods for capturing patterns or themes across qualitative data sets.

Detailled programme (pdf, 98 kB)


26 June 2023 - 30 June 2023
Course Fee

Regular: €995
Students & PhD's: €645

Early Bird Regular: €895 (application deadline* April 1st) 
Early Bird Students & PhD's: €580,50 (application deadline* April 1st)

Scholarships and discounts Find more information here
Application deadline

May 1st

*Your application is only completed when the course fee has been paid

Course leader Anka Kekez
Level of participant
  • Master
  • PhD
  • PostDoc
  • Professional
Admission requirements Specific ways to embed qualitative analysis into case-based research designs will be taught to reach an advanced level of competence. To take the most benefits of the course, thus, participants need to be familiarised with the application of qualitative case-based methodologies and keen on using them. The course involves exercises with sample data (provided by instructor) with the NVivo software. While these exercises will foster the use of NVivo basic and some advanced functionalities, prior familiarisation with NVivo is recommended. An important note is that participants already using other QDAS than NVivo (such are ATLAS.ti and MAXQDA) will also be able to follow and perform exercises with their own software package.
Admission documents
  • To get the student/PhD discount you need to upload a copy of your Student card or other proof of registration
  • If you are not a student/PhD, you can upload an empty document under 'Student Card'.
Mode of Study On Campus
ECTS 2 or 4 Find more information here
Location Radboud University