## Types of NCA

What is NCA?

NCA is a specific approach and data analysis technique for identifying necessary conditions in data sets. It distinguishes different types of necessary condition analyses.

What is bivariate necessary condition analysis?

A bivariate necessary condition analysis is a necessary condition analysis with one condition and one outcome

What is multivariate necessary condition analysis?

A multivariate necessary condition analysis is a necessary condition analysis with more than one conditions and one outcome.

What is a “type 1” necessary condition analysis?

A “type 1” necessary condition is a bivariate necessary condition analysis.

What is a “type 1A” necessary condition analysis?

A “type 1A” necessary condition analysis is a bivariate necessary condition analysis where the condition and the outcome are dichotomous .

What is a “type 1B” necessary condition analysis?

A “type 1B” necessary condition analysis is a bivariate necessary condition analysis where the condition and the outcome are discrete (more than two possible levels) or continuous (inifinity number of possible levels).

What is a “type 2” necessary condition analysis?

A “type 2” necessary condition analysis is a multivariate necessary condition analysis where the separate conditions are necessary (necessary AND configuration).

What is a “type 3” necessary condition analysis?

A “type 3” necessary condition analysis is a multivariate where the conditions need not to be separately necessary but together form a necessary OR configuration.