Paper with a statistical significance test for NCA

The article  "A statistical significance test for Necessary Condition Analysis" by Jan Dul, Erwin van der Laan, and Roelof Kuik was accepted for publication in Organizational Research Methods. The paper presents a test to estimate the p-value of a necessary condition effect size. This enables NCA researchers to avoid false positives by testing the randomness of the effect size (empty space). When p < 0.01 the researcher can conclude that it is unlikely that the effect size is due to random chance.  Soon the NCA software version 3.0 that includes the test will be available.