Ordinal Scale
The ordinal type allows for rank order (1st, 2nd, 3rd, etc) by which data can be sorted, but still does not allow for relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts, 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.
Read more about this topic: Numerical Data
Famous quotes containing the word scale:
“How many women does one need to sing the scale of love all the way up and down?”
—Georg Büchner (1813–1837)