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Extending NCA to the Extreme:

Jan Dul
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Is it possible to develop from a single, extreme case, a strong theoretical argument that can aim at theoretical generalizability? The purpose of the article is to develop a method for analyzing data from an extreme case to contribute to theory development for ‘normal’ organizational functioning. We propose a method inspired by NCA (Dul, 2016) that helps 1/ to distinguish between essential (causal) factors and anecdotal factors in the analysis of chain of actions, cognitions and events that results in a disaster and, 2/ to develop concepts and relationships that can be generalized beyond the single case and result in theoretical statements about necessary but not sufficient conditions for ‘normal’ functioning.
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hal-02169117 , version 1 (30-06-2019)


  • HAL Id : hal-02169117 , version 1


Florence Allard-Poesi, Jan Dul. Extending NCA to the Extreme:: A qualitative method for generalizing from extreme cases. EURAM Conference, Symposium Recent Applications of Necessary Conditions Analysis (NCA), Jun 2019, Lisbonne, Portugal. ⟨hal-02169117⟩
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