Necessary Condition Analysis

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.

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Invitation to participate

The Research Methods Division of the Academy of Management (AoM) in collaboration with the Consortium for the Advancement of Research Methods and Analysis (CARMA) will organize a 'Doctoral Student and Junior Faculty Consortium'. This is an on-line, real-time, and participative event to interact with leading scholars and methodologists. On June 19, 1 p.m. – 2:30 p.m. a session will be held on 'Advances in Data Analysis Approaches'. This session includes a discussion on NCA. ....

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NCA Summer Course

This summer another one-day summer course on NCA will be held. The course, delivered by Jan Dul, is open to PhD candidates and faculty who are heading for publications in top journals...

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NCA Workshop given to marketing researchers

As part of the annual marketing gathering of marketing researchers organised by the French Marketing Association in Paris, a group of marketing researchers.....

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