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There are three ways to get started with NCA and to check whether your data may contain a necessary condition.

The starting point for identifying a necessary (but not sufficient) condition is a scatter plot of data (see figures)...

NCA is an approach and tool for researchers who wish to build or test theory with empirical data and write impactful publications, and for data analysts...

Necessary Condition Analysis (NCA) is an approach and tool for identifying necessary conditions in data sets.

ERIM PhD Courses Enrolment Information

R scripts for figures

NCA events

Several types of training for NCA researchers and data analysts are available. The level of the training ranges from beginner level to advanced level with a...

This section refers to publications about misinterpretations and critique on NCA.

A meta-analyst can choose between a ‘fixed effect’ model and a ‘random effects’ model. In the ‘fixed effect’ model it is assumed that...