Course Outline
The goal of this interactive course is to help researchers to conduct NCA for enhancing their publication opportunities. After the course the participants will be able to apply NCA as a stand-alone method or in combination with other methods.
The course is open to any researcher (PhD candidate, faculty member, practitioners) with basic knowledge of NCA. This knowledge can be gained during the preparations for the course by reading the suggested refences (see below) or by attending the introduction lecture/seminar on the day before the course. An introduction to Necessary Condition Analysis (NCA)
After the preparations you should be able to formulate an interesting necessary condition hypothesis in your research field. During the course you may be asked to explain it.
The interactive course consists of three parts that are partly shaped by the participants:
Part 1 - Fundamentals of NCA; Part 2: Application of NCA; Part 3: Selected topics.
Time will be available for specific advice to individuals or small groups (check for additional information closer to the dates of the Autumn School).
Reading List (preparation)
1. Dul, J. (2016). Necessary Condition Analysis (NCA) logic and methodology of “necessary but not sufficient” causality. Organizational Research Methods, 19(1), 10–52. This is the core paper of NCA.
2. Bokrantz, J., & Dul, J. (2023). Building and testing necessity theories in supply chain management. Journal of Supply Chain Management 59, 48-65. This paper explains how necessity hypotheses can be formulated.
3. Dul, J., Hauff, S., and Bouncken, R. B. (2023). Necessary condition analysis (NCA): review of research topics and guidelines for good practice. Review of Managerial Science, 17, 683-714. This paper gives practical guidelines for conducting NCA.
4. Dul, J. (2024). A different causal perspective with Necessary Condition Analysis. Journal of Business Research, 177, 114618. This paper explains the causal logic of NCA.
Voluntary preparation:
During the software demonstration you may wish to follow the instructions on your own computer.
Then ensure that you have installed the R package and the NCA software on your computer and that you bring this computer to class. HERE is an instruction how to install R and the NCA software (both are free).
After your installation type: library(NCA) after the > prompt to check if the NCA package is correctly installed. If so, you should get the following message or similar:
Please cite the NCA package as:
Dul, J. 2023.
Necessary Condition Analysis.
R Package Version 3.3.3.
URL: https://cran.r-project.org/web/packages/NCA/
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://journals.sagepub.com/doi/full/10.1177/1094428115584005
and
Dul, J. (2020) "Conducting Necessary Condition Analysis"
SAGE Publications, ISBN: 9781526460141
https://us.sagepub.com/en-us/nam/conducting-necessary-condition-analysis-for-business-and-management-students/book262898
and
Dul, J., van der Laan, E., & Kuik, R. (2020).
A statistical significance test for Necessary Condition Analysis."
Organizational Research Methods, 23(2), 385-395.
https://journals.sagepub.com/doi/10.1177/1094428118795272
A BibTeX entry is provided by:
citation('NCA')
A quick start guide can be found here:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2624981
or
https://repub.eur.nl/pub/78323/
For general information about NCA see :