Qualitative Expert Interviews

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).

Qualitative Expert Interviews provide in-depth understanding, core skills and hands-on experience essential for advanced interviewing of experts as key agents of knowledge generation in political and social research.

Course leader

Alenka Jelen
Senior Lecturer in Public Relations
Department of Communications, Media and Culture
University of Stirling

Target group

-Master
-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 are new to expert interview research and those who have conducted interviews before and would like to further develop their knowledge and skills by critically reflecting on and learning from their experience.

Course aim

After this course you are able to:

-Demonstrate advanced critical knowledge and understanding of qualitative expert interviews.
-Apply advanced skills in expert interview design, field preparation strategies, conducting interviews, interviewing techniques and data generation practice.
-Manage interview data at an advanced level and identify appropriate analytical approaches.
-Critically reflect on ethical and legal issues and requirements involved in expert interview research.

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%)