Necessary Condition Analysis (NCA) with R (Version 3.0.1): A Quick Start Guide
Organizational Research Methods 19(1), 10-52, 2018
25 Pages Posted: 30 Jun 2015 Last revised: 23 Aug 2018
Date Written: August 21, 2018
Necessary Condition Analysis (NCA) is a new data analysis approach and technique to identify necessary (but not sufficient) conditions in datasets. It can complement traditional regression based data analysis as well as methods like QCA. 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.
Keywords: software, R package, manual, data analysis
JEL Classification: C00, C10, C40, C70, C80, C90, M00
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