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Necessary Condition Analysis (NCA) with R (Version 2.0): A Quick Start Guide

21 Pages Posted: 30 Jun 2015 Last revised: 22 Oct 2016

Jan Dul

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management

Date Written: October 21, 2016

Abstract

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.Organizational Research Methods 19(1), 10-52.

Keywords: software, R package, manual, data analysis

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

Suggested Citation

Dul, Jan, Necessary Condition Analysis (NCA) with R (Version 2.0): A Quick Start Guide (October 21, 2016). Available at SSRN: https://ssrn.com/abstract=2624981

Jan Dul (Contact Author)

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management ( email )

Rotterdam School of Management, Erasmus University
P.O. Box 1738
3000 DR Rotterdam
Netherlands
+31 10 408 1719 (Phone)
+31 10 408 9014 (Fax)

HOME PAGE: http://www.rsm.nl/jdul

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