They may be continuous or discrete ordinal variables like counts.
2.
For ordinal variables with more than two values, there are the ordered logit and ordered probit models.
3.
The relation between ordinal variables, or between ordinal and categorical variables, may also be represented in contingency tables, although such a practice is rare.
4.
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.
5.
In regression analysis, outcomes ( dependent variables ) that are ordinal variables can be predicted using a variant of ordinal regression, such as ordered logit or ordered probit.
6.
However, if we do consider the names as written, e . g ., in the Latin alphabet, and define an ordering corresponding to standard alphabetical order, then we have effectively converted them into ordinal variables defined on an ordinal scale.
7.
The Brier score is appropriate for binary and categorical outcomes that can be structured as true or false, but is inappropriate for ordinal variables which can take on three or more values ( this is because the Brier score assumes that all possible outcomes are equivalently " distant " from one another ).