The article introduces a new way to compare the variability of data sets that are not clearly homogenous or different. Instead of just looking at whether the groups have the same spread, the researchers also consider if they have the same shape and orientation. They developed tests to check for these conditions when the data follows a specific pattern. By applying these tests to various data sets, they found that this approach gives more detailed information about the differences in variability between groups. A simulation study showed that these tests perform well even when the data deviates gradually from being homogenous.