Ordinal Data: Definition

Measurements that quantify differences by order (ie. in terms of values such as ‘more’ or ‘less’, ‘larger’ or ‘smaller’), not magnitude – that is, the size of the intervals is not specified. Often used where quantitative differences are apparent but hard to measure (ie. when values represent a ranked order). Examples include the distinction between poor, moderate, and good quality agricultural land (gives no indication of exactly how much better/worse each is than the others).

Ordinal input map data can be used for the following statistical operations: Maximum, Minimum, Median, Majority, Minority, Diversity (Variety) and Range.