Necessary Condition Analysis (NCA) is an emerging approach and data analysis technique for identifying necessary (but not sufficient) conditions in data sets. It can complement traditional regression based data analysis as well as methods like QCA. NCA provides very relevant insights for practice. Recent methodological and substantive publications show that NCA can combine rigor and relevance.
The Chinese version of the introductory book about Conducting Necessary Condition Analysis. Mastering Business Research Methods Series, published by Sage has been, is now available. The book was translated into by Yunzhou Du. The Chinese title of the book is 'Necessary Condition Analysis' and the publisher is Truth and Wisdom Press, Shanghai.
We are very proud to announce The Massive Open Online Course (MOOC) on Necessary Condition Analysis is now released on Coursera!
The course is freely available for anyone who wants to learn about NCA. This beginners course includes 29 videos and is organized in 5 weeks:
1. Introduction to NCA
2. Setting up an NCA study
3. Data analysis with NCA
4. Reporting the results of NCA
5. Advanced topics of NCA.
The course is found using the following link:
https://www.coursera.org/learn/necessary-condition-analysis
Enjoy the course!
NCA SOFTWARE - 3.2.0 now available
A new version of the NCA software is now available. Quick to install and to use, it comes with a quick-start guide for those who are new to R and NCA.
In NCA 3.2.0, next to a couple of minor fixes, some larger changes are implemented.
ERIM
is the joint research institute of Rotterdam School of Management, Erasmus University and the Erasmus School of Economics, Erasmus University Rotterdam.
