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.
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.
An editorial commentary about "What Constitutes a Methodological Contribution" by Donald Bergh, Brian Boyd, Kris Byron, Steve Gove, and David Ketchen has appeared in the Journal of Management. It showcases Necessary Condition Analysis (NCA) as the running example of their "life cycle model of a methodological contribution".
We are happy to announce that we have recently launched The NCA Forum! As the use of Necessary Condition Analysis (NCA) as approach and data analysis technique is growing, we strongly encourage interaction and discussion about NCA on an interactive platform within a community.
The forum provides the opportunity for NCA users to ask questions, read through previous discussions and get in contact with others interested in NCA.
We hope you enjoy the forum!
ERIM
is the joint research institute of Rotterdam School of Management, Erasmus University and the Erasmus School of Economics, Erasmus University Rotterdam.
