Data scales

Data scale is a object which is used to measures data

four data measurement scales:

nominal,

ordinal,

interval and

ratio

The distinction between the four types of scales center on three different characteristics:

1. The order of responses – whether it matters or not

2. The distance between observations – whether it matters or is interpretable 3. The presence or inclusion of a true zero

Nominal Scales

Nominal scales measure categories and have the following characteristics:

? Order: The order of the responses or observations does not matter.

? Distance: Nominal scales do not hold distance.

The distance between a 1 and a 2 is not the same as a 2 and 3.

? True Zero: There is no true or real zero. In a nominal scale, zero is uninterruptable. Appropriate statistics for nominal scales: mode, count, frequencies Displays: histograms or bar charts