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CHAPTER 4
DATA ANALYSIS & INTERPRETATION
This section addresses findings of the study, their interpretations and results extracted
from the study. It covers all the objectives set in the study and all the questions that
made researchers investigate and conduct this study.
Table 4.1:
Demographical Features of respondents
TOTAL
VARIABLES
Gender
Age
Degree
Semester
F
%
Male
71
56.8
Female
53
42.4
less than 20
1
.8
21-23
28
22.4
23-25
64
51.2
26 and above
31
24.8
Bachelors
65
52.8
Masters
59
47.2
8th (Bachelors)
95
75
4th (Masters)
30
25
F
%
125
100
125
100
125
100
125
100
125
100
125
100
EE (Electrical
Engineering)
43
34.4
44
34.6
ME (Mechanical
Engineering)
CE (Chemical
Specialization
Engineering)
39
31.2
Entrepreneur in
Yes
26
20.8
99
79.2
Family
No
Personal
Yes
4
3.2
No
121
96.8
Entrepreneurial
Yes
0
0
Course
No
125
100
Entrepreneurial
Experience
125
125
100
100
Table 4.1 represents the data on the entrepreneurial intentions of the technical graduates from
electrical, chemical and mechanical engineering of Lahore.
According to the data in the table 4.1, 56.8% of the respondents were male and 42.4% are
female. When I distributed the population by age, then majority of the respondents were in
between 20-26 and above years in which 23-25 represent the majority of the students and
represent 51.2%. The majority of the respondents are part of bachelors programs 52.8% and
47.2% were belongs to masters programs. If we distribute the students according to the
semester than 75% belongs to bachelors program 8th semester and 25% belongs to Masters and
4th semester. The respondents from the Electrical engineering are 34.4%, 34.6% belongs to
mechanical engineering and 31.2% belongs to chemical engineering. Only 20.8% students
claim that they have entrepreneurs in family whereas 79.2% said no to this requirement. Only
3.2% students have personal entrepreneurial experience and the left have no entrepreneurial
experience yet. The response to the question about entrepreneurial course is negative from all
students.
Table 4.2 :
Descriptive Statistics
Descriptive Statistics
Std.
N
Behavioral Factors
Mean
125
3.5947
Deviation
.26550
Structural and
125
Financial Factors
2.8160
.79954
Economic Factors
125
2.3093
.98572
Cultural Factors
125
3.1080
1.47982
Entrepreneurial
125
3.1580
1.55073
Intentions
Self Efficacy
125
3.3467
2.11119
Locus of Control
125
4.0112
2.64859
Risk Taking
125
3.0740
3.12557
Valid N (listwise)
125
Descriptive statistics are given in the table 4.2; it consists of the mean and standard
deviation of all the factors that affect the entrepreneurial intentions of the students. The
instrument used for the data collection comprises five point likert scale from strongly
disagree to strongly agreed. The mean score of behavioral factors is 3.5947 and mean score of
locus of control is 4.0112 that are near to agree. Structural and financial factors and cultural factors are near to
neutral as their mean score are 2.8160 and 3.1080. The economic factors have the mean score is 2.3093 that is near
to disagree. Entrepreneurial intentions, Self efficacy and risk taking are also neutral 3.1580, 3.3467, 3.0740.
In crux we can say that most of the respondents are neutral to factors such as
entrepreneurial intentions, self efficacy, risk taking, cultural factors and structural and
financial factors.
Table 4.3: Linear regression test
Variables
R
R Square
B
P
Behavioral Factors
0.126
0.016
0.126
0.162
0.417
0.174
0.417
0.061
Economic Factors
0.946
0.895
0.946
0.017
Cultural Factors
0.544
0.295
0.544
0.000
Structural and
Financial factors
Independent variables = behavioral factors, structural and financial factors, economic factors,
Cultural factors
Dependant variable = Entrepreneurial intentions
The table 4.3 indicates those factors which helps the students to show their entrepreneurial
intentions.
There
is
a
highly
significant
relationship
between
behavioral
factors
entrepreneurial intentions (r= 0.126, p< 0.01) the relationship is strong and it has positive
impact on the entrepreneurial intentions. This finding verifies our hypothesis H1 that
“Behavioral factors positively influence the entrepreneurial intentions”.
Table 4.3 also indicates that there is a negative relationship between structural and financial
factors and entrepreneurial intentions where (r= 0.417, p>0.01) here the relationship is
moderately weak and has negative impact on the intentions. This verifies our hypothesis H4
that “structural support meaningfully influences entrepreneurial preference of students.”
Table 4.3 showed that there is a positive and significance relationship between recognition
and motivation of employees that is (r= 0.429, p Purchase answer to see full
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