BASIC
TIPS FOR LIKERT-SCALE ANALYSIS
This
article will focus on the following:
- Simple Standard deviation Mean, Criterion-Mean and Grand-Mean Tables analysis.
How
to calculate Criterion-Mean
How
to calculate Mean
How
to calculate Grand-Mean
- How to analyze 5 and 4 point Likert Scale Questionnaire
Frequency percentage table.
How to get,
determine or know your Criterion-Mean
What
is Criterion-Mean?
Criterion: is a principle or standard by
which something may be judged or decided meaning that Criterion-Mean or Mean-Cut-Off-Point is the
score, frequency, number used to decide the validity of items on questionnaire
analysis in (Chapter Four Data Presentation).
1. How to
Calculate or Get Criterion-Mean
How
to determine or know criterion-mean, if you are using 5 or 4 Point-
Likert-Scale It is important to know point allocations in 5 or 4 Point-
Likert-Scale data analysis.
EXAMPLE
2: 4- POINT LIKERT-SCALE
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Abbreviations And Full-Meaning
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POINTS
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SA
|
STRONGLY AGREE
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5
|
A
|
AGREE
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4
|
D
|
DISAGREE
|
2
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SD
|
STRONGLY-DISAGREE
|
1
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TOTAL
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Formula
is : 4 + 3 + 2 + 1 =
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10
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EXAMPLE 1: 5- POINT
LIKERT-SCALE
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Abbreviations
And Full-Meaning
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POINTS
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SA
|
STRONGLY
AGREE
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5
|
A
|
AGREE
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4
|
U
|
UNDECIDED
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3
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D
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DISAGREE
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2
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SD
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STRONGLY-DISAGREE
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1
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TOTAL
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Formula is: 5 +
4 + 3 + 2 + 1 =
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15
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How
to get Criterion-Mean for 5 Point-Likert-Scale
Step 1: You add all the points in the Likert-Scale
divide by 5 because it is a (5
Point-Likert-Scale)
Formula
is as follow: 5 + 4 + 3 + 2 + 1 =15
Step 2: Divide the 15 by 5 Example 15
÷ 5 = 3. Therefore the
Criterion-Mean for 5 Point-Likert-Scale is
3.00 which is the decisive factor.
FIG 1:- Example
of 5 Point-Likert-Scale table showing, Criterion-Mean and decisions
Q1: To what extent does the male and female
student exhibit SAD in school?
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No
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ITEMS
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MEAN
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SD
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CRITERION MEAN
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DECISION
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1
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I get nervous when I appear before
a crowd.
|
2.32
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1.04
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3
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Disagreed
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2
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I don’t like asking lecturers questions during class activities.
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2.46
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1.55
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Disagreed
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3
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I like staying alone during lecture
free periods.
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2.64
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1.59
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Agreed
|
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4
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I feel embarrassed each time a
lecturer suddenly calls me up in the class to answer questions.
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2.6
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1.08
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Agreed
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5
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Feel embarrassed when someone
looks at my notebook during lectures.
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2.56
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1.50
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Agreed
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GRAND
MEAN
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How to get Criterion-Mean for 4
Point-Likert-Scale
Step 1: You add all the points in the Likert-Scale
divide by 5 because it is a
(4
Point-Likert-Scale)
Formula
is as follow: 4 + 3 + 2 + 1 =10
Step 2: Divide the 10 by 4 Example 10
÷ 4 = 2.5 therefore the
Criterion-Mean for 4 Point-Likert-Scale is
2.5 which is the decisive factor.
FIG 3:- Example of 4 Point-Likert-Scale table
showing, Criterion-Mean and decisions
Q 1: To what
extent do media advocate conflict resolution in conflict reporting?
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No
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ITEMS
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MEAN
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SD
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CRITERION MEAN
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DECISION
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1
|
Mass
media style of conflict reporting can facilitate conflict resolution among
warring parties.
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2.87
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1.13
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2.5
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Agree
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2
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Media
stations like AIT and Nigeria-Info in Rivers State method of conflict
reporting can make warring sides seek for resolution.
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2.8
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1.2
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Agree
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3
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I like
the way Nigeria-Info and AIT reporter/presenters do their conflict reporting.
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3.1
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0.9
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Agree
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4
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Among
all the media outfits in Rivers State AIT and Nigeria -Info are the best in
conflict reporting.
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2.93
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1.07
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Agree
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5
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The
media have done well in the area of conflict resolution; through its jingles
and programs.
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2.52
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1.48
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Agree
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GRAND MEAN 2.844
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Research on this table makes obvious that items 1 and 2 had Mean of 2.87 and 2.8 apiece which is above the criterion-mean of 2.5 used to decide. Similarly items 3, 4 and 5 had Mean value of 3.1, 2.93 and 2.52 respectively which is also above the decisive value of 2.5 Criterion-Mean.
Which is a pointer that all items under research question 1 meets the decisive benchmark of 2.5; in addition all items under this research question had total Grand-Mean value of 2.844 which above the Criterion-Mean 2.5 which is decisive value.
The
researcher therefore infers that the media advocate conflict resolution in
conflict reporting.

The
decision therefore is that any item with a mean value of 3.00 and above, if you
are using a 5 point-likert scale questionnaire is (Agree) and any item with mean value below 3.00 is (Disagree).
In
the same way any item with a mean value of 2.5 and above, if you are using a 4
point-likert scale questionnaire is (Agree)
and any item with mean value below 2.5 is (Disagree).
2. How to Calculate or Get MEAN
Statistically
mean is a measure
of central tendency and gives us an idea about where the data seems to gathering
around.
Different Statistical Means
There
are different kinds of statistical means or measures of central tendency for
the data points. Each one has its own utility. The arithmetic mean, geometric mean, median and mode are some of the most
commonly used measures of statistical mean. They make sense in different
situations, and should be used according to the distribution and nature of the
data.
For
instance, the arithmetic mean is frequently used in scientific experimentation,
the geometric mean is used in finance to calculate compounding quantities, the
median is used as a robust mean in case of skewed data with many outliers and the mode is
frequently used in determining the most frequently occurring data, like during
an election.
The
arithmetic mean is perhaps the most commonly used statistical mean to measure
the central tendency of data.
The
mean is also known as “Arithmetic Mean” or “Arithmetic Average” it is the
mostly used frequency measure of central tendency and it is the typical score or
score expected from each respondent in any group, being the typical or expected
score, any group of respondents whose total score on the instrument is less
than the typical score or the mean, is Rejected,
Disallowed or Negative on the other
hand, any group of respondent whose total score is equal to, or above the
typical score or the mean, is Accepted,
Agree or Positive.
Calculating or
Getting the Mean
To
calculate or obtain Mean, while using a 4
or 5 point Likert-scale for Chapter-four
analysis Note that the mean of each item on the instrument is equated to the
Criterion-mean to ascertain the acceptability of each item.
FIG 5:- See example below
Q 3: To what extent does
conflict reporting prompt conflict.
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No
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ITEMS
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MEAN
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SD
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CRITERION MEAN
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DECISION
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1
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I get angry most times when I
listen to issues relating to conflict because of the way it’s being reported
in the media.
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2.3
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1.7
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2.5
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Disagree
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2
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Sometimes the way the media
reports conflict is capable of fueling conflict.
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2.5
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1.5
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Agree
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3
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Media reports on conflict
have done more harm, than good.
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2.35
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1.65
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Disagree
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4
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The
way the media handle or reports conflict is provoking.
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2.72
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1.28
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Agree
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5
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The media sometimes
instigates conflict with its report.
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2.25
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1.75
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Disagree
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GRAND MEAN 2.424
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To obtain your mean just follow these steps: Divide the total number of person that respondent to item by 100.
Example for step
1:
16
persons ticked SA
26
persons ticked A
30
persons ticked D
28
persons ticked S
Note:
SA
|
STRONGLY AGREE
|
5
|
A
|
AGREE
|
4
|
D
|
DISAGREE
|
2
|
SD
|
STRONGLY-DISAGREE
|
1
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TOTAL
|
Formula
is: 4 + 3 + 2 + 1 =
|
10
|
Example for step 2:
Therefore:
16
persons ticked SA 16 x 4 = 64
26
persons ticked A 26 x 3 = 78
30
persons ticked D 30 x 2 = 60
28
persons ticked SD 28 x 1 = 28
Haven
done the multiplication you proceed to the next step.
Example for step 3:
Add
or plus all the answers you obtain
64+78+60+28
= 230
Now
to get the mean we, have been looking for we divide the 287 by 100;
230
÷ 100 = 2.3
Therefore
the mean for item 1 is 2.3 which
lower than the Criterion-Mean thus 2.3 is (Disagree
/ Rejected) because 2.3 is below
2.5 which is the decisive cut-off-point.
Step 1 example
for item 2:
30
persons ticked SA
16
persons ticked A
28
persons ticked D
26
persons ticked SD
Example for step 2:
Therefore:
30
persons ticked SA 30 x 4 =120
16
persons ticked A 16 x 3 = 48
28
persons ticked D 28 x 2 = 56
26
persons ticked SD 26 x 1 = 26
Haven
done the multiplication you proceed to the next stepExample for step 3:
Add
or plus all the answers you obtain
120+48+56+26
= 250
To
get the mean you have to divide the 280 by 100;
250
÷ 100 = 2.5
Hence
the mean for item 2 is 2.5 which is
up to the Criterion-Mean value of 2.5 thus is 2.5 is (Agree / Accepted) because 2.5
is not below the 2.5 which is the decisive cut-off-point.
These
steps should be applied to all items.
3. How to
calculate Grand-Mean
What
is Grand-Mean?
The
Grand-Mean is use to compare the Criterion-mean which is decisive cut-off-point
to determine the acceptability/reject-ability of each research questions during
analysis.
FIG 6:- See
example 1 below:
Q 4: To
what extent does media exhibits bias in conflict reporting.
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No
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ITEMS
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MEAN
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SD
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CRITERION
MEAN
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DECISION
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16
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Sometimes the media is unfair in its conflict
reporting.
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2.43
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1.57
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2.5
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Disagree
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17
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At
times the media is misleading in its different reports on conflicts.
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2.4
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1.6
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Disagree
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|
18
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The
media is not biased when it has to do with conflict reporting.
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2.56
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1.42
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Agree
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19
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The
media is biased while reporting issues relating to Niger Delta crisis.
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2.78
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1.9
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Agree
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|
20
|
Media
reports concerning Boko-Haram and crisis in the North-East is not balance.
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2.04
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1.8
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Disagree
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GRAND MEAN 2.45
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Research on this table shows that items 1, 2 and 5 had Mean scores of 2.43, 2.4 and 2.04 which fall under disagree on the analysis which is below the decisive Criterion-Mean 2.5.
While
items 3 and 4 had Mean value of s of 2.58 and 2.78 each which is up-to and
above the Criterion –Mean value of 2.5 used as the determining factor.
The
analysis in addiction revealed that all items under this research question had
total of 2.45 as its Grand-Mean which is not up-to-the Criterion-Mean of 2.5
which is the decisive factor.
These
hence indicate that the media does not exhibit bias in conflict reporting.
FIG 7:- See
example 2 below:
Q 1: To what extent do media advocate conflict
resolution in conflict reporting?
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No
|
ITEMS
|
MEAN
|
SD
|
CRITERION MEAN
|
DECISION
|
1
|
Mass
media style of conflict reporting can facilitate conflict resolution among
warring parties.
|
2.87
|
1.13
|
2.5
|
Agree
|
2
|
Media
stations like AIT and Nigeria-Info in Rivers State method of conflict
reporting can make warring sides seek for resolution.
|
2.8
|
1.2
|
Agree
|
|
3
|
I like
the way Nigeria-Info and AIT reporter/presenters do their conflict reporting.
|
3.1
|
0.9
|
Agree
|
|
4
|
Among
all the media outfits in Rivers State AIT and Nigeria -Info are the best in
conflict reporting.
|
2.93
|
1.07
|
Agree
|
|
5
|
The
media have done well in the area of conflict resolution; through its jingles
and programs.
|
2.52
|
1.48
|
Agree
|
|
GRAND MEAN 2.844
|
Research on this table makes obvious that items 1 and 2 had Mean of 2.87 and 2.8 apiece which is above the criterion-mean of 2.5 used to decide. Similarly items 3, 4 and 5 had Mean value of 3.1, 2.93 and 2.52 respectively which is also above the decisive value of 2.5 Criterion-Mean.
Which is a
pointer that all items under research question 1 meets the decisive benchmark
of 2.5; in addition all items under this research question had total Grand-Mean
value of 2.844 which above the Criterion-Mean 2.5 which is decisive value.
The
researcher therefore infers that the media advocate conflict resolution in
conflict reporting.
To
obtain the grand-mean, you add/plus all the mean’s obtained together, then
divide by the total number of items, for clarification sake note that the
instrument used in for this case study have 4 research questions and each of
these 4 research question carries or have 5 question under them which is
referred to as the (ITEMS) see clear
example in pages 4 and 7.
Example: 1 of
Grand-mean on table FIG 6:-
2.43
+ 2.4 + 2.56 + 2.78 + 2.04 = 12.21 ÷ 5 = 2.442
approximately 2.45.
Example: 2 of
Grand-mean on table FIG 7:-
2.87
+ 2.8 + 3.1 + 2.93 + 2.52 = 14.22 ÷ 5 =2.844
4. How
to analyze 5 and 4 point Likert Scale Questionnaire
Frequency - percentage table is
another tool, method or technique of analyzing data collected from Likert-Scale
questionnaire and other instruments.
So to determine percentage
while using frequency table for analysis, you multiply the number of
respondents by 100, divide by the sample size.
FIG
8:- Example for frequency-percentage
table Frequency
analysis of sex respondents
SEX
|
VALID
RESPONDENTS
|
PERCENTAGE %
|
MALE
|
140
|
43.75
|
FEMALE
|
180
|
56.25
|
TOTAL
|
320
|
100
|
Example of result
presentation:
The table above shows the sex of the respondents. The least is
variable 1 with
140 respondents represented
by percentage of
43.7% which represents
the male while
180 represented with percentage of 56.3% represent the
female. These shows that female were in the majority of the students sampled.
Note: that 320
students was used in this study as the sample size.
Step 1:
Male
have 140 respondents: 140 x 100 ÷ 320 =
43.75
Female
have 180 respondents: 140 x 100 ÷ 320 =
56.25
FIG
9:- Example for frequency-percentage
tableAnalysis
of Age of Respondents
AGE RANGE
|
FREQUENCY
|
PERCENTAGE (%)
|
Under-20
|
136
|
42.5
|
20 – 25
|
94
|
29.5
|
25 – 30
|
72
|
22.5
|
Over – 30
|
18
|
5.6
|
Total
|
320
|
100
|
Example of result
presentation:
Variable 4 which has 18 respondents with percentage of (5.6%) fell
within the age
range of over
30 years had
the least number
of respondents, the
next were variable
3 and 2
both had 72,
and 94 respondents with percentage representation of
(22.5%) and (29.4%) respectively. Whereas
variable 1 which
has 136 respondents
with percentage value
42.5% fell within
the age range
of under 20 years
and had the
highest respondents. This
implies that majority of
the respondents were
unmarried youth with
enough vigor to sustain
them in most of their endeavors.
Note: That sample
size is 320
So
the formula is as follows: The number of respondents per item multiply by 100,
divide by the total number of respondents which is 320 the (sample size)
Under-20 have 136 respondents
20
– 25 have 94 respondents
25
– 30 have 72 respondents
Over
– 30 have 18 respondents
Total
number of respondents is 320
Under-20 = 136
x 100 ÷ 320 = 42.5
20
– 25 = 94 x 100 ÷ 320 = 29.5
25
– 30 = 72 x 100 ÷ 320 =
22.5
Over
– 30 = 18 x 100 ÷ 320 =
5.6
|
Formula 2:
136 x 100
= 42.5
4
1
94 x 100 = 29.5
4
1
72 x 100 = 22.5
4
1
18 x 100 = 5.6
4
1
Note
that 4 in formula 2 under 136, 94,
72 and 18 is there because a 4
(SA, A, D, SD) point likert scale was used.
This helped me a lot. Thank you to the authors and publishers
ReplyDeleteThank you for this great publication
ReplyDeleteHow did u get ur standard deviation
ReplyDeleteThanks for the detailed explanation, am very much impressed.
ReplyDeleteThis helps a lot thank you so much. But how to calculate SD was not explained
ReplyDeletegood job. thanks for the simple and concise explanation.
ReplyDelete