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#quantitative-methods-basic-concepts #statistics
Ordinal Scale

  • Measurements on an ordinal scale are categorized.
  • The various measurements are then ranked in their categories.
  • Measurements with ordinal scales are ordered with higher numbers representing higher values. The intervals between the numbers are not necessarily equal.

Example 1

On a 5-point rating scale measuring attitudes toward gun control, the difference between a rating of 2 and a rating of 3 may not represent the same difference as that between a rating of 4 and a rating of 5.

Example 2

Two categories might be value and growth. Within each category, the portfolio managers measured will be weighted according to performance on a scale from 1 to 10, with 1 being the best- and 10 the worst-performing manager.

There is no "true" zero point for ordinal scales, since the zero point is chosen arbitrarily. The lowest point on the rating scale in the example was arbitrarily chosen to be 1. It could just as well have been 0 or -5.
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Subject 2. Measurement Scales
y distributions are usually used to analyze data measured on a nominal scale. The main statistic computed is the mode. Variables measured on a nominal scale are often referred to as categorical or qualitative variables. <span>Ordinal Scale Measurements on an ordinal scale are categorized. The various measurements are then ranked in their categories. Measurements with ordinal scales are ordered with higher numbers representing higher values. The intervals between the numbers are not necessarily equal. Example 1 On a 5-point rating scale measuring attitudes toward gun control, the difference between a rating of 2 and a rating of 3 may not represent the same difference as that between a rating of 4 and a rating of 5. Example 2 Two categories might be value and growth. Within each category, the portfolio managers measured will be weighted according to performance on a scale from 1 to 10, with 1 being the best- and 10 the worst-performing manager. There is no "true" zero point for ordinal scales, since the zero point is chosen arbitrarily. The lowest point on the rating scale in the example was arbitrarily chosen to be 1. It could just as well have been 0 or -5. Interval Scale Interval scales rank measurements and ensure that the intervals between the rankings are equal. Scale values can be added and subtracted from each other.&#


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