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The interval measurement scale involves the application of a scale with equal units and an arbitrary zero. With equal units of measurement, most of the useful numerical operations, such as addition, subtraction, multiplication, and division can be performed. Temperature readings on a Celsius or Fahrenheit thermometer, and individual intelligence test scores like the Stanford-Binet or the Wechsler tests are examples of interval data. The measurement of zero on interval scales does not mean the absence of the trait being measured, simply that the scale was not sensitive enough to measure levels of the variable below a certain point. Interval data analysis involves the use of powerful statistical methods such as correlation, t-Tests, and Analysis of Variance (ANOVA).

Table 1 -- Scales of Measurements Summary