Nominal Measure
A nominal measure is part of taxonomy of measurement types for variables developed by psychologist Stanley Smith Stevens in 1946. Other types of measurement include ordinal, interval, and ratio. A nominal variable, sometimes referred to as a categorical variable, is characterized by an exhaustive and mutually exclusive set of categories. Each case in the population to be categorized using the nominal measure must fall into one and only one of the categories. Examples of the more commonly used nominal measures in survey research include gender, race, religious affiliation, and political party.
Unlike other types of measurement, the categories of a variable that is a nominal measure refer to discrete characteristics. No order of magnitude is implied when comparing one category to another. After the relevant attributes ...
Looks like you do not have access to this content.
Reader's Guide
Ethical Issues In Survey Research
Measurement - Interviewer
Measurement - Mode
Measurement - Questionnaire
Measurement - Respondent
Measurement - Miscellaneous
Nonresponse - Item-Level
Nonresponse - Outcome Codes And Rates
Nonresponse - Unit-Level
Operations - General
Operations - In-Person Surveys
Operations - Interviewer-Administered Surveys
Operations - Mall Surveys
Operations - Telephone Surveys
Political And Election Polling
Public Opinion
Sampling, Coverage, And Weighting
Survey Industry
Survey Statistics
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z