Rating scales require special treatments during data analyses. It is dangerous to treat the choices in a rating scale as simple numerical values. Nor is it satisfactory to treat them as discrete categories in which the internal ordering is thrown away. A rating scale is ordinal in nature, meaning that there is an inherent order among the choices within. This ordering is different from the ordering in numerical values such as counts and heights. In such cases, the differences between numerical values are directly …