The relation between ordinal variables, or between ordinal and categorical variables, may also be represented in contingency tables, although such a practice is rare.

For quantitative analysis, data is coded usually into measured and recorded as nominal or ordinal variables.

The visually assessed cover of a plant species is then recorded as a continuous variable between 0 and 1, or divided into interval classes as an ordinal variable.

These variables could be dichotomous, ordinal or nominal variables.

Spearman's coefficient, like any correlation calculation, is appropriate for both continuous and discrete variables, including ordinal variables.

A variable the data on which are ordinal is known as an ordinal variable.

Factor analysis of ordinal variables: A comparison of three approaches.

If more than two values are possible and they can be ordered, the attribute is represented by ordinal variable, such as "young", "middle age", and "old".

For ordinal variables with more than two values, there are the ordered logit and ordered probit models.

They may be continuous or discrete ordinal variables like counts.