Measurement scale is a classification that describes the nature of information within the values assigned to variables.
In statistics, there are four data measurement scales.
These are simple ways to sub-categorize different types of data.
i.Nominal
It is used for labeling variables. It is simply called
“labels”. It is the lowest measurement level. It is assigned to items that is
divided into categories without having any order or structure. It used for the
purpose of identification and ordering for ascending or descending. The only
mathematical operation we can perform with nominal data is to count. For eg:
1.
What
is your Gender?
a.
Male
b.
Female
2.
Where
do you live?
a.
Northern
hemisphere
b.
Southern
Hemisphere
ii. Ordinal
The
order of the value is important but the differences between each one is not
really known. It measures non-numeric concept like satisfaction, happiness,
discomfort, etc. It ranks responses. It has the property of identity and
magnitude. The distance between scale point is not scale and not the relative
positional distances.
Eg:
How do you feel today?
a.
Very
happy
b.
Unhappy
c.
Okay
d.
Happy
e.
Very
happy
iii.Interval
The
order and the exact differences between the values is known. It has an interval
scale because it assumes to have equal distance between each of the scale
elements. It has the properties of : identity, magnitude and equal distance.
The equal distance between scale points helps to know how many units greater
than or less than one case is from another. For eg: The meaning of the distance
between 25 and 35 is the same as the distance between 65 and 75.
iv.Ratio
It
allows for a wide range of both descriptive and inferential statistics to be
applied. The factor which clearly defines a ratio scale is that it has a true
zero point. The properties of ratio scale are: identity, magnitude, equal
distance and absolute zero. These properties allow to apply all possible
mathematical operations that include addition, subtraction, multiplication and
division. The absolute true zero allow to know how many times is one case
greater than another. For eg: height, weight, duration.
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