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.
Coming summer there will be new one-day course given on NCA. The course, given by Jan Dul, is open to PhD gradates and faculty who are heading for publications in top journals, but also other researchers, including Research Master students are welcome...
As part of the yearly marketing gathering of marketing researchers at the French Marketing Association in Paris, a group of marketing researchers.....
A seminar on NCA, given by Sven Hauff, has been attended by a group of master students from the Otto von Guericke University Magdeburg...
ERIM
is the joint research institute of Rotterdam School of Management, Erasmus University and the Erasmus School of Economics, Erasmus University Rotterdam.
