Interval Measure
An interval measure is one where the distance between the attributes, or response options, has an actual meaning and is of an equal interval. Differences in the values represent differences in the attribute. For example, the difference between 3 and 4 is the same as the difference between 234 and 235. Interval measures have fixed measurement units, but they do not have a fixed, or absolute, zero point. Because of this, it is technically not correct to declare that something is so many times larger or smaller than something else, although this often is done nonetheless.
Unlike other less sophisticated levels of measurement (e.g. nominal and ordinal measures), interval measures have real meaning. The relationship between the value and attribute is meaningful. For instance, temperature (Fahrenheit ...
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