Necessary Condition Analysis (NCA) with R (Version 3.1.0): A Quick Start Guide
Based on: Dul, J. (2016) "Necessary Condition Analysis (NCA): Logic and Methodology of 'Necessary but Not Sufficient' Causality." Organizational Research Methods 19(1), 10-52 and: Dul, J. (2020) "Conducting Necessary Condition Analysis" SAGE Publications ISBN: 9781526460141
25 Pages Posted: 30 Jun 2015 Last revised: 2 Mar 2021
Date Written: March 2, 2021
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 www.erim.nl/nca for a short introduction to 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.
• Dul, J. (2020), Conducting Necessary Condition Analysis, Sage Publications, ISBN: 9781526460141.
• Dul, J., van der Laan, E., & Kuik, R. (2020). A statistical significance test for Necessary Condition Analysis. Organizational Research Methods, 23(2), 385-395.
Keywords: software, R package, manual, data analysis
JEL Classification: C00, C10, C40, C70, C80, C90, M00
Suggested Citation: Suggested Citation