Extending NCA to the Extreme:: A qualitative method for generalizing from extreme cases

Abstract : 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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Conference papers
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https://hal-upec-upem.archives-ouvertes.fr/hal-02169117
Contributor : Florence Allard-Poesi <>
Submitted on : Sunday, June 30, 2019 - 3:58:43 PM
Last modification on : Thursday, July 18, 2019 - 2:50:03 PM

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  • HAL Id : hal-02169117, version 1

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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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