NecessaryConditionAnalysis 0.1.1

Necessary Condition Analysis in Python

Necessary Condition Analysis in Python

Necessary Condition Analysis (NCA) allows researchers and practitioners to identify necessary (but not sufficient) conditions in data sets.

This is a Python implementation of the original NCA R package including only the basic functionality of NCA for users who want to have a native implementation in Python.

Please cite the NCA package as:

Chavelas, R. (2024). Necessary Condition Analysis in Python.

This package is 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. https://doi.org/10.1177/1094428115584005

and

Dul, Jan, Necessary Condition Analysis (NCA) with R (Version 4.0.0): A Quick Start Guide (February 16, 2024). 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; Dul, J. (2020) "Conducting Necessary Condition Analysis" SAGE Publications ISBN: 9781526460141, Available at SSRN: https://ssrn.com/abstract=2624981_

For general information about NCA see: http://www.erim.nl/nca