1. INTERPRETATION AND ANALYSIS
The output of the factor analysis is obtained by requesting
Principal Component Analysis (PCA)
The reliability of our test is 8.21
We get output in Tables as shown above comprising of KMO
test 0.636for all 9 variables and the Eigen values of all the
factors and take factors which have Eigen values 1 or greater
than 1
We have assumed only extracted factors having Eigen values
1 or more). Since KMO value is 0.636 that means my data is
adequate enough and not biased
. The first step in interpreting the output is to look at the factors
extracted, their Eigen values and the cumulative percentage of
variance. From table that the three factors extracted together
account for 71.471% of the total variance (information
contained in 9 original values). This is good for us, because we
are able to economize on the number of variables (from 9 we
have reduced them to 3 underlying factors), and we lost only
28.59% of the information content(71.471% is retained by the 3
factors extracted out of the 9 original variables).Now we have to
move to interpret what these 3 extracted factors represent. This
can be done with the help of table (rotated component matrix).
2. LOADING SCORE
FACTOR
FACTOR1 O.773 hot 0.490 0.815 0.833tasty 0.549
& fresh variety in quality service
menu
FACTOR2 0.896 0.784fear
behavior price
FACTOR3 0.819food 0.801 on
order time
Factor 1:
Factor 1 is a combination of various factors. This can be
analyzed by noticing the individual loading scores of every
factor. In our analysis we come across various factors let us
discuss them one by one.
Firstly looking at table 4, the rotated component matrix we
notice that variable no.1 in first row I.e. hot and fresh food
having loading value 0.733 have major impact on customer
satisfaction towards fast food and from 2nd row lot of varieties
in menu with loading score of 0.490 have great impact on
customer satisfaction quality with loading score of 0.815 also
plays important role in customer satisfaction taste and service
from 4th and 9th row with loading score of 0.833 &0.549have
also great impact on customer satisfaction towards fast food
So we will call first factor quality taste and service which
shows about 43.014%0f variance
3. Factor 2:
Loading score suggests that fear value of price and behavior
of employees have been given 2nd rank by our respondents on
majoring the satisfaction .These are having loading value 0.784
,0.896 respectively which shows that these two factors also
plays an important role in determine customer satisfaction
So our 2nd factor is price and behavior which shows about
14.886 of variance
Factor 3:
Now we will interrupt the 3rd factor which shows that food
order and food on time are ranked on 3rd position with loading
score of 0.819 &0,801 respectively our 3rd factor is food order
which shows about 13.571% of variance
So we will say that these three factors are having great
impact on customer’s satisfaction towards fast food
