Statistical information, including numbers
and sets of numbers, has specific qualities that are of interest to
researchers. These qualities, including
magnitude, equal intervals, and absolute zero, determine what scale of
measurement is being used and therefore what statistical procedures are
best. Magnitude refers to the ability to
know if one score is greater than, equal to, or less than another score. Equal intervals means that the possible scores
are each an equal distance from each other.
And finally, absolute zero refers to a point where none of the scale
exists or where a score of zero can be assigned.
When we combine these three scale qualities,
we can determine that there are four scales of measurement. The lowest level is the nominal scale, which
represents only names and therefore has none of the three qualities. A list of students in alphabetical order, a
list of favorite cartoon characters, or the names on an organizational chart
would all be classified as nominal data.
The second level, called ordinal data, has magnitude only, and can be
looked at as any set of data that can be placed in order from greatest to lowest
but where there is no absolute zero and no equal intervals. Examples of this type of scale would include
Likert Scales and the Thurstone Technique.
The third type of scale is called an interval
scale, and possesses both magnitude and equal intervals, but no absolute
zero. Temperature is a classic example
of an interval scale because we know that each degree is the same distance apart
and we can easily tell if one temperature is greater than, equal to, or less
than another. Temperature, however, has
no absolute zero because there is (theoretically) no point where temperature
does not exist.
Finally, the fourth and highest scale of measurement is called a
ratio scale. A ratio scale contains all
three qualities and is often the scale that statisticians prefer because the
data can be more easily analyzed. Age,
height, weight, and scores on a 100-point test would all be examples of ratio
scales. If you are 20 years old, you not
only know that you are older than someone who is 15 years old (magnitude) but
you also know that you are five years older (equal intervals). With a ratio scale, we also have a point
where none of the scale exists; when a person is born his or her age is
zero.
Table 8.1: Scales of Measurement
Scale
Level
|
Scale of
Measurement
|
Scale
Qualities
|
Example(s)
|
4
|
Ratio
|
Magnitude
Equal Intervals
Absolute
Zero
|
Age, Height, Weight, Percentage
|
3
|
Interval
|
Magnitude
Equal
Intervals
|
Temperature
|
2
|
Ordinal
|
Magnitude
|
Likert Scale, Anything rank
ordered
|
1
|
Nominal
|
None
|
Names, Lists of
words
|
Reference from AllPsych Online.com
Author: Dr. Christopher L. Heffner
Published: March 11, 2004
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