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The NCA philosophy is explained in four principles: Reduction of complexity, academic rigor, practical relevance, and history and future.

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.

A funnel plot (see Figure 20) is a scatter plot of the studies in a meta-analysis...

Publication bias analysis is not a core meta-analysis feature and for some of the methods rather strong assumptions apply, which means...

If you entered a score in the ‘Moderator’ column of the Input sheet, then a weighted regression will be run with ‘Moderator’ as a predictor of...