Necessary Conditions Analysis: Theory and Applications



B = Basic
M = Intermediate
A = Advanced

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Further and more detailed information, including the schedule, can be found in the current course tables in the syllabus of the respective course, if the course is offered in the next sessions. The following text serves as information on what can be expected in terms of content in the course.

NCA is a rather new method, with several methodological publications that have appeared in high ranked journals. It has been applied in a variety of research fields in the social, medical and technical sciences with a rapidly increasing number of publications. It has the potential “to change how organizational researchers approach testing for cause and effect relationships” (according to an editor of a top journal). Participants of earlier workshops appreciated the method because it is “intuitively easy to understand”, “a new way of thinking and therefore it may lead to many interesting insights, just re-analyzing an old dataset”, and “insights are very relevant for practice”. The course is primarily open to PhD candidates and junior faculty, but also to other researchers (including master students and senior faculty) who are interested in this novel approach.