RSS02.D13 ​​Introduction to Necessary Condition Analysis (NCA)​

This doctoral course will teach you the fundamentals of Necessary Condition Analysis (NCA) and help you design your first NCA research project. Necessary Condition Analysis is an innovative research method for identifying necessary (but not sufficient) conditions in data sets. Allowing you to separate the "need-to-haves" from the "nice-to-haves", NCA offers compelling practical advice and novel theoretical insights. The course provides a comprehensive introduction to NCA, including its theoretical logic, practical application, relation to other research methods, and research design.

The course is designed for students, researchers, and practitioners who want to understand the fundamentals of NCA and learn how they can effectively use the method in their own research projects.

This unique five-day course combines theoretical discussions with practical assignments. You will learn more about conditional logic and how it changes the way we think about causal relationships. We will teach you how to conduct an NCA with the statistical programming language R and RStudio. You will also learn how to identify and formulate necessary condition hypotheses in your own area of expertise. The course will be interactive and developmental in nature. At the end of the course, you will be able to design your own NCA research project.

You will earn 2ECTS when you complete the attendance and participations requirements of the course. It will also be possible to obtain 2 additional ECTS. To do so, you need to write a short academic paper that correctly uses NCA, including the theoretical development and empirical testing of necessity hypotheses .

Find more information here (pdf, 116 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 leaders
Level of participant
  • Master
  • PhD
  • PostDoc
  • Professional
Admission requirements Applications should have a Bachelor of Science (BSc) degree or equivalent.
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