interval scale
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Wages are collected on an interval scale (rather than point data).

The coefficient of variation may not have any meaning for data on an interval scale.

An interval scale is constructed by determining the equality of differences between the things measured.

A highly familiar example of interval scale measurement is temperature with the degree Celsius.

Often the German grades are treated like an interval scale to calculate means and deviations for comparisons.

"Standard scores" on an achievement test are said to be measurements on an interval scale, but this is difficult to prove.

By integrating across the choice probabilities, utility scores for each alternative can be estimated on an interval scale.

For interval data , where c and k are interval scale values.

The valuation function V(S) is an empirically derived mapping of stimuli to an interval scale.

That is, numbers form an interval scale when the differences between the numbers correspond to differences between the properties measured.

QALYs enable health care decision makers to combine mortality and morbidity into a single interval scale.

Celsius temperature is measured on an interval scale, whereas the Kelvin scale has a true zero and so is a ratio scale.

Ratio scales, to remind ourselves, contain all the properties of ordinal and interval scales with the additional one that they can be transformed one into another.

The Riddle scale is an eight-term uni-dimensional Likert-type interval scale with nominal labels and no explicit zero point.

It is most commonly interpreted as the latter, given that most behavioural scientists consider that their tests and surveys "measure" attributes on so-called "interval scales" .

The close correspondence between the τ and r results suggests that the deviation from interval scale is slight and hence that the effect on results may not be radical (Siegal, 1956).

The vast majority of social research employs ordinal data or, more rarely, the interval scale: even in such cases it is doubtful whether even the most developed of such scales actually satisfy the requirements.

Thus, some argue that so long as the unknown interval difference between ordinal scale ranks is not too variable, interval scale statistics such as means can meaningfully be used on ordinal scale variables.

For a variable measured on an interval scale, such as temperature in Centigrade, or on a ratio scale, such as temperature on the Kelvin scale, the median or mean can also be used.

While passages in ethnographies are readily found using HRAF's subject-indexing system, a researcher needs to develop nominal, ordinal, or interval scales to measure the particular types of variation he or she is interested in measuring.

It would appear that Raven was one of the very few people (another was Louis Guttman) who appreciated the importance of developing tests which yielded something approaching an interval scale (although that term was not the stated objective of either author).

This is often justified on the basis that ordinal scales in behavioural science are really somewhere between true ordinal and interval scales; although the interval difference between two ordinal ranks is not constant, it is often of the same order of magnitude.

For example, most temperature scales are interval scales (e.g., Celsius, Fahrenheit etc.) that can take both positive and negative values, whereas the Kelvin scale has an absolute null value (i.e., 0K is the absence of heat), and negative values are nonsensical.

The appropriateness of the QALY arithmetical operation is compromised by the essence of the utility scale: while life-years are expressed in a ratio scale with a true zero, the utility is an interval scale where 0 is an arbitrary value for being dead.

The most general approach is to treat it as an ordinal scale, but it can be argued that the neutral response (i.e. the middle alternative on the scale) serves as an arbitrary zero point, and that the intervals between the scale values can be treated as equal, making it an interval scale.