1. Definition and characteristics of ordered variables

Ordered variables refer to variables with classification attributes, but there is an objective order relationship between classifications. In this kind of variables, each classification represents a certain degree or level, but there is no clear standard for the difference between these levels, which is usually expressed by numbers.

2. Ordered variables and numerical values

Unlike nominal variables, sequential variables allow sorting operations. So ordered variables are not completely meaningless, their values represent a certain state or degree, and we can compare and sort them.

3. Ordered variables and numerical calculation

For ordered variables, mathematical calculation (addition, subtraction, multiplication, division, etc. ) Like continuous variables, you can't do it, but you can do some basic statistical calculations, such as frequency, percentage, median and mode.

4. Application fields of ordered variables

Ordered variables are widely used, including social science, education, medicine, biology and many other fields. For example, in the medical field, ordinal variables are often used to describe the degree of disease, therapeutic effect and other indicators.

5. Conclusion

Although ordinal variables have limited values compared with continuous variables, their classification levels are orderly, and they can also show the differences and advantages and disadvantages between different categories. Therefore, in practical application, it is necessary to evaluate its value and applicability in combination with specific analysis scenarios, and make a comprehensive judgment in combination with other indicators.

Ordered variables are a kind of variables, which distinguish the hierarchical variables in the same category of cases. The ranking variable can determine the order, that is, the value of the variable can rank the research objects high or low, with >: with.