2. MEASUREMENT
It is a process of observing
and recording the
observations that are
collected as a part of
research.
3. SCALING
It is applied to the attempts to
measure the attitude
objectively.
It is a technique used for
measuring qualitative
responses – likes, dislikes,
short, long etc.
5. NOMINAL SCALE
It is used for labelling variables
without any quantitative value
It is used for counting purpose
Statistics : Frequency/percentage
distribution
6. ORDINAL SCALE
It arranges the alternatives
according to their magnitude.
Is the difference between
“OK” and “UNHAPPY” the
same – we cannot say that
It measures non-numeric
concepts
Statistics: Frequencies,
Mode, Percentile
7. INTERVAL SCALE
For Example:
Q. How appealing is this box to the
children?
NOT AT ALL
VERY
-4 -3 -2 -1 0 1 2
3 4
- Current Temperature
- IQ
It is a Numerical scale in which
not only order but also the
exact difference between values
can be measured
8. RATIO SCALE
- It gives the exact values between two
units
- It provides wealth to statistical data
- These values can be successfully
added, subtracted, multiplied or
divide
This machine
gives an idea of
Ratio between
person’s height
and weight (ratio)
10. SEMATIC
DIFFERENTIAL
SCALE
- It is a type of rating scale
designed to measure the
connotative meaning of
object/events
- Connotation are used to express
the attitude for the given object
Q. How did you find this object?
11. PAIRED COMPARISON SCALE
It is a comparative scaling
technique
Two products are shown at
the same time to the
respondent and is asked to
select one of their choice
It can be analyzed in two
ways :
- Percentage of respondents
- Assumption of transitivity
12. LIKERT SCALE
FOR EXAMPLE:
- It measures the level of
agreement/disagreement for the
given statement
- Strongly agree to strongly disagree
- Statistics: Median or Mode
- Display the observation in bar chart
13. CONSTANT SUM
SCALE
FOR EXAMPLE:
- Respondents are asked to
distribute the points across various
items which they feel according to
them have more relevance than the
other features of the product.
14. RATING
It is a set of categories designed to
elicit information obtained by the
respondents
Types of Rating Scale :
- Numeric rating scale
- Graphic rating scale
Example : Likert response scale
15. RANKING
It is a relationship between a set
of items where one is ranked
higher and the other one is
ranked is lower than that.
EXAMPLE : Colleges are ranked
every year