2. The process of applying numbers to objects according to a set of
rules.
QUALITATIVE
NOMINAL
SCALE
ORDINAL
SCALE
QUANTITATIVE
INTERVAL
SCALE
RATIO
SCALE
3. A nominal scale is a scale of measurement used to assign events or objects into
discrete categories.
This form of scale
does not require
the use of
numeric values .
Often it is
regarded as the
most basic form
of measurement
used to
categorize and
analyze data in
many disciplines.
Examples: (Name,
Blood group ) –
Named category.
4. A ordinal scale is a categorical where the variables have natural, ordered
categories and the distance between the categories are not known.
Ordinal data
is a
quantitative
data.
It can be
named ,
grouped and
also ranked.
Example :
Ranking ,
Ratings etc.
5. The interval scale is a quantitative measurement scale where there is order, the
difference between the two variables is meaningful and equal, and the
presence of zero is arbitrary. It measures variables that exist along a common
scale at equal intervals. The measures used to calculate the distance between
the variables are highly reliable.( Temperature and GPA etc. )
Interval
scale is
always
numeric.
Ratio of
values
have no
meaning
here.
No
absolute
zero
difference.
Interval
scale allows
you to
calculate the
mean and
median of
variables.
6. The Ratio Scale is the highest level scale that allows the researcher to classify or
identify the objects, rank-order the objects and compare the intervals or
differences. ( Age , Weight and Height. )
Ratio scale is
always
numeric and
does not
have any
negative
number.
Ratio of
values have
meaning
here.
It also
possesses a
true zero
point. In
example the
out side
temperature is
0-degree
Celsius.
Ratio scale
provides
unique
possibilities
for statistical
analysis.