The article discusses different tests for comparing groups of data. One test is less powerful than another for some cases, but can be more powerful in others. These tests are useful for comparing data when the relationships between variables are not straightforward. The researchers found that a modified test can be more accurate in certain situations, and they explained why this is the case.