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Necessary Condition Analysis/Evidence
Method evidence record

Necessary Condition Analysis

Necessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Necessary Condition Analysis
Taxonomic method record · latent-structure / psychometrics
  • Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. · DOI 10.1177/1094428115584005
  • Dul, J. (2018). A strategy for dealing with flaws and limitations in quantitative research. Organizational Research Methods, 21(1), 104-125. · URL
  • Dul, J. (2019). Necessary Condition Analysis (NCA) version 3.3: A User Manual. Europeanstudies.org. Retrieved from https://www.erim.eur.nl/people/jan-dul/ · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyExploratory Structural Equation Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyFuzzy-Set Qualitative Comparative Analysismachine-suggested · Relational suggestion, not evidence.Same method familyPartial Least Squares Structural Equation Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyProcess Tracingmachine-suggested · Relational suggestion, not evidence.Same method familyRule Space Methodologymachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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