The article discusses different ways to test how well a model fits categorical data, especially when there is not much data available. The researchers found a new statistic that works well even with small amounts of data, and they compared it to other methods through simulations. They discovered that the new statistic is reliable and doesn't have any major drawbacks. They also looked at the benefits of using a two-sided approach to model testing in certain situations.