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- Necessary Condition Analysis (NCA) is a quantitative data analytical technique for identifying necessary (but not sufficient) conditions in data sets. NCA primarily acts as a complement to other analytical techniques such as regression-based analysis, structural equation modelling, or Qualitative Comparative Analysis. NCA allows researchers to analyse how predictor variables constrain the outcome variable by revealing which predictor variables are considered to be necessary, and to what degree they constrain the outcome variable. This is done by evaluating the effect size d of each necessary condition, performing a bootstrapping procedure and examining the statistical significance of the necessary condition, and by having theoretical justification for this type of a relationship (en)
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- 5155 (xsd:nonNegativeInteger)
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- Necessary Condition Analysis (NCA) is a quantitative data analytical technique for identifying necessary (but not sufficient) conditions in data sets. NCA primarily acts as a complement to other analytical techniques such as regression-based analysis, structural equation modelling, or Qualitative Comparative Analysis. (en)
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- Necessary Condition Analysis (en)
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