Necessary Condition Analysis (NCA) is a new 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.
A workshop on NCA at the Université Paris Descartes/Université Sorbonne Paris Cité was attended by some 20 researchers from fields like psychology, transportation and economics. The participants formulated necessary conditions in their research fields and analysed their own datasets for testing necessary condition hypotheses.
At the next annual conference of the European Academy of Management (June 26-28, 2019), a track will be organized about NCA where researchers get the opportunity to present their papers or paper ideas that include the use of NCA…
For the third successive year an NCA professional development workshop was held at the annual conference of the British Academy of Management...
ERIM
is the joint research institute of Rotterdam School of Management, Erasmus University and the Erasmus School of Economics, Erasmus University Rotterdam.
