Necessary Condition Analysis (NCA) with R (version 4.0.0)

Abstract

Necessary Condition Analysis (NCA) is an approach and data analysis technique for identifying necessary conditions in datasets. It can complement traditional regression-based data analysis as well as methods like QCA (see [the NCA website](https://www.erim.nl/nca) for more information on NCA). This guide helps a novice user without knowledge of R or NCA to install the free R and NCA software on the user’s computer and to perform an NCA analysis within 15 minutes. The main instructions are: I. Install R II. Install NCA III. Load data IV. Run NCA. Details of the method can be found in: - Dul, J. (2016) Necessary Condition Analysis (NCA). Logic and Methodology of 'Necessary but not Sufficient' causality. *Organizational Research Methods* 19(1), 10-52. [Sage](https://journals.sagepub.com/doi/pdf/10.1177/1094428115584005) - Dul, J. (2020), *Conducting Necessary Condition Analysis*, Sage Publications, ISBN: 9781526460141. [Sage](https://uk.sagepub.com/en-gb/eur/conducting-necessary-condition-analysis-for-business-and-management-students/book262898) - Dul, J., van der Laan, E., & Kuik, R. (2020). A statistical significance test for Necessary Condition Analysis. *Organizational Research Methods*, 23(2), 385-395. [Sage](https://journals.sagepub.com/doi/10.1177/1094428118795272