Nijmegen, Netherlands

Qualitative Data Analysis

when 20 June 2020 - 24 June 2020
language English
duration 1 week
credits 2 EC
fee EUR 575

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

This course provides strategic understanding and applied skills in planning and conducting the process of qualitative data analysis. It is the course you need if you want to learn how to analyse your data or polish you analytical skills.

Course leader

Marie-Hélène Paré
Qualitative Methodologist
Social Work and Public Health
Open University of Catalonia & The Qualitative Analyst

Target group

-PhD
-Post-doc
-Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who have already a solid idea about what their research will be – (research questions, study aim, techniques of data collection, etc.). It is also suitable for researchers who have experience in qualitative data analysis and want to deepen their knowledge about this stage of research or polish their skills.

Course aim

After this course you are able to:

-Develop the analytical plan of their study
-Choose the right approach to code their data
-Identify what strategy to use to transform their data into findings
-Present their findings convincingly and transparently

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)