Necessary Condition Analysis (NCA) with R (Version 3.0.3): A Quick Start Guide

Dul, Jan

Necessary Condition Analysis (NCA) with R (Version 3.0.3): 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: 15 Jun 2020

See all articles by Jan Dul

Jan Dul

Erasmus University, Rotterdam School of Management

Date Written: June 11, 2020

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 then 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 (http://orm.sagepub.com/content/19/1/10), or in Dul, J. (2020), Conducting Necessary Condition Analysis, Sage Publications, ISBN: 9781526460141.

Keywords: software, R package, manual, data analysis

JEL Classification: C00, C10, C40, C70, C80, C90, M00

Suggested Citation: Suggested Citation

Dul, Jan, Necessary Condition Analysis (NCA) with R (Version 3.0.3): A Quick Start Guide (June 11, 2020). 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 , Available at SSRN: https://ssrn.com/abstract=2624981