Ordinal data are similar to nominal data in that they fall in categories. The difference is that ordinal data has a hierarchy. For instance, weight categories in boxing or other competitive sports are examples of ordinal categories. The collection of ordinal data is similar to that of nominal data -- researchers must employ classification methods.