New method improves accuracy of predicting outcomes in categorical data analysis.
The article discusses how to check if probability models fit well with data on categorical variables. Goodness-of-fit statistics are used to measure how well the data matches the model. These statistics help assess overall fit and individual differences. The researchers focus on logistic regression to show how these statistics can be applied.
