Scales of Measurements
Scales
of Measurements
In Statistics, the
variables or numbers are defined and categorised using different scales of measurements. Each level of measurement scale has specific properties that determine
the various use of statistical analysis.
Levels of Measurements
There are four
different scales of measurement. The data can be defined as being one of the
four scales. The four types of scales are:
- Nominal Scale
- Ordinal Scale
- Interval Scale
- Ratio Scale
Nominal
Scale
A nominal scale is the 1st level of measurement scale in
which the numbers serve as “tags” or “labels” to classify or identify the
objects. A nominal scale usually deals with the non-numeric variables or the
numbers that do not have any value.
Characteristics of Nominal Scale
- A nominal scale variable is
classified into two or more categories. In this measurement mechanism, the
answer should fall into either of the classes.
- It is qualitative. The numbers are
used here to identify the objects.
- The numbers don’t define the object
characteristics. The only permissible aspect of numbers in the nominal
scale is “counting.”
Example:
An example of a nominal
scale measurement is given below:
What is your gender?
M- Male
F- Female
Here, the variables are
used as tags, and the answer to this question should be either M or F.
Ordinal Scale
The ordinal scale is
the 2nd level of measurement
that reports the ordering and ranking of data without establishing the degree
of variation between them. Ordinal represents the “order.” Ordinal data is
known as qualitative data or categorical data. It can be grouped, named and
also ranked.
Characteristics of the Ordinal Scale
- The ordinal scale shows the relative
ranking of the variables
- It identifies and describes the
magnitude of a variable
- Along with the information provided
by the nominal scale, ordinal scales give the rankings of those variables
- The interval properties are not
known
- The surveyors can quickly analyse
the degree of agreement concerning the identified order of variables
Example:
- Ranking of school students – 1st,
2nd, 3rd, etc.
- Ratings in restaurants
- Evaluating the frequency of
occurrences
- Very often
- Often
- Not often
- Not at all
- Assessing the degree of agreement
- Totally agree
- Agree
- Neutral
- Disagree
- Totally disagree
Interval Scale
The interval scale is
the 3rd level of measurement
scale. It is defined as a quantitative measurement scale in which the
difference between the two variables is meaningful. In other words, the
variables are measured in an exact manner, not as in a relative way in which
the presence of zero is arbitrary.
Characteristics of Interval Scale:
- The interval scale is quantitative
as it can quantify the difference between the values
- It allows calculating the mean and
median of the variables
- To understand the difference between
the variables, you can subtract the values between the variables
- The interval scale is the preferred
scale in Statistics as it helps to assign any numerical values to
arbitrary assessment such as feelings, calendar types, etc.
Example:
- Likert Scale
- Net Promoter Score (NPS)
- Bipolar Matrix Table
Ratio Scale
The ratio scale is the 4th level of measurement scale, which
is quantitative. It is a type of variable measurement scale. It allows
researchers to compare the differences or intervals. The ratio scale has a
unique feature. It possesses the character of the origin or zero points.
Characteristics of Ratio Scale:
- Ratio scale has a feature of
absolute zero
- It doesn’t have negative numbers,
because of its zero-point feature
- It affords unique opportunities for
statistical analysis. The variables can be orderly added, subtracted, multiplied,
divided. Mean, median, and mode can be calculated using the ratio scale.
- Ratio scale has unique and useful
properties. One such feature is that it allows unit conversions like
kilogram – calories, gram – calories, etc.
Example:
An example of a ratio
scale is:
What is your weight in
Kgs?
- Less than 55 kgs
- 55 – 75 kgs
- 76 – 85 kgs
- 86 – 95 kgs
- More than 95 kgs
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