The article discusses different ways to measure 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 it is similar to the commonly used Pearson's statistic. They compared this new statistic with others in simulation studies and found it to be stable and reliable. They also looked at the benefits of using a two-sided approach to model testing in certain situations.