A measurement scale in which the levels can be assigned arbitrary numeric values, but the values have no intrinsic order or mathematical properties; for example, race and gender are both measured using a nominal scale
Observations of unordered variables Scale in which mutually exclusive items are placed
A scale of measurement for a variable that uses a label or name to identify an attribute of an element Nominal data may be nonnumeric or numeric
A measurement scale where the categories are differentiated only by qualitative names
Data is allocated into different (often named or numbered) categories For example, the allocation of books in a library catalogue to different topics Data on this scale cannot be meaningfully added and subtracted
Measurement scale that records differences in kind, but not degree Nominal scales assign symbols to the range of possible values that any given variate might take
(n) A qualitative data scale that has no inherent order to it (e g , New York, Boston, and Houston)
A measurement scale in which numbers are used to classify, name or label an individual, attribute or category The numbers have no specific order or importance Nominal scales are often used to designate group membership (such as male, female, race/ethnicity, socioeconomic status) Nominal scales are also used to indicate characteristics that individuals do and do not have (such as a diagnosis of anxiety disorder, a family history of schizophrenia)
Classification into unordered qualitative categories; e g , race, religion, and country of birth as measurements of individual attributes are purely nominal scales, as there is no inherent order to their categories
An arrangement of values of a categorical variable that has no meaningful order (such as hair color or occupation)