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Searching the Influencing Factors in Youth’s
Decision on Career Selection: A Study on
Selected Youths of Sylhet City, Bangladesh
Mohammed Abdul Aziz
Sylhet International University
Sylhet, Bangladesh.
Career
Career depends
on different
independent
variables.
Objectives of the research
 To know the awareness level of the youths from
the attachment with businessmen and job holders
in their personal lives.
 To find out the impact of different factors in
making career decision in their different points
of age range, genders and in education levels.
 To analysis the impact of gender–friendly
environment among the youths of both genders
in their career choice
 To evaluate the impact of education in selecting their
career by considering the status of that career among
the youths of different education levels. .
 To come on conclusion about the impact of factors in
job decision from the research in order to indicate
some imperatives to the youths and enterprises.
Objectives of the research
Methodology
• Research Design: The research was conducted to know
perception about the factors considered by the youths to select
of their future career at their preparation level, so this is
categorized as a descriptive analytical applied research.
• Sampling Design: To know the perceptions of youths of
different age, gender and education range, the researchers used
stratified random sampling of prospective youths of that region
to collect the primary data.
• Data Collection: The study was done in Sylhet city that is
located on the banks of the Surma River and is surrounded by
the Jaintia, Khasi and Tripura hills of India. It is the
headquarter of Sylhet Division and Sylhet District. The
primary data was collected from 235 youths of different
educational institutions of Sylhet city by a well designed
questionnaire.
• Data Analysis: The collected data were processed through
Microsoft Excel 07 and SPSS 19. The outputs were analyzed
by the researchers subjectively and objectively to reach in an
conclusion.
Methodology
Profile of Respondents
Description Frequency Percent Cumulative
Percent
Age 18-24 154 65.5 65.5
24-28 52 22.1 87.7
28-32 29 12.3 100.0
Total 235 100.0
Gender Male 122 51.9 51.9
Female 113 48.1 100.0
Total 235 100.0
Education Level SSC 6 2.6 2.6
HSC 16 6.8 9.4
Degree 175 74.5 83.9
Masters 38 16.2 100.0
Total 235 100.0
Gender and Gender Friendly Environment
Element
Gender Friendliness
Total
very
Insignificant Insignificant Average Significance
Strong
Influence
Gender Male Count 21 29 9 38 25 122
% within 17.20% 23.80% 7.40% 31.10% 20.50% 100.00%
Female Count 2 5 14 37 55 113
% within 1.80% 4.40% 12.40
%
32.70% 48.70% 100.00%
Total Count 23 34 23 75 80 235
% within 9.80% 14.50% 9.80% 31.90% 34.00% 100.00%
Education level and Socio economic Status
Education
level
Description Socio-Economic Status of job Total
very
Insignificant
Insignificant Average Significance Strong
Influence
HSC Count 0 0 0 4 2 6
Percentage .0% .0% .0% 66.7% 33.3% 100
Under-
Graduate
Count 4 12 25 65 69 175
Percentage 2.3% 6.9% 14.3% 37.1% 39.4% 100
Graduate Count 0 2 2 20 14 38
Percentage .0% 5.3% 5.3% 52.6% 36.8% 100
Post-
Graduate
Count 0 0 1 8 7 16
Percentage .0% .0% 6.3% 50.0% 43.8% 100
Total Count 4 14 28 97 92 235
Percentage 1.7% 6.0% 11.9% 41.3% 39.1% 100
Chi-Square tests:
Value df
Asymp. Sig.
(2-sided)
Linear-by-Linear
Association
1.620 1 .203
Scope of using Earned Education and Skill
Education level Description
Scope of using Earned Education and Skill
Total
very
Insignificant
Insignifican
t
Averag
e
Significanc
e
Strong
Influence
HSC = Count 0 0 0 2 4 6
=
Percentage .0% .0% .0% 33.3% 66.7% 100%
Under-graduate
=
Count 3 12 27 62 71 175
=
Percentage 1.7% 6.9% 15.4% 35.4% 40.6% 100%
Graduate = Count 0 0 7 16 15 38
=
Percentage .0% .0% 18.4% 42.1% 39.5% 100%
Post-Graduate =
=
Count 0 1 6 6 3 16
Percentage .0% 6.3% 37.5% 37.5% 18.8% 100%
Total
=
Count 3 13 40 86 93 235
= Percentage 1.3% 5.5% 17.0% 36.6% 39.6% 100%
Value df Asymp. Sig. (2-sided)
Linear-by-Linear Association 1.458 1 .227
Demand of Job (Requisite Qualities)
Education level Description
Demand of Job (Requisite Qualities)
Totalvery Insignificant Insignificant
Moderatel
y
significant
Significanc
e
Strong
Influence
HSC Count 0 0 0 1 5 6
Percentage 0.00% 0.00% 0.00% 16.70% 83.30% 100%
Under-graduate Count 3 11 19 72 70 175
Percentage 1.70% 6.30% 10.90% 41.10% 40.00% 100%
Graduate Count 0 2 3 15 18 38
Percentage 0.00% 5.30% 7.90% 39.50% 47.40% 100%
Post Graduate Count 0 1 2 3 10 16
Percentage 0.00% 6.30% 12.50% 18.80% 62.50% 100%
Total Count 3 14 24 91 103 235
Percentage 1.30% 6.00% 10.20% 38.70% 43.80% 100%
Value df Asymp. Sig. (2-sided)
Linear-by-Linear
Association
0.549 1 0.459
 The impact of education level, Age, Gender on career
selection can be analyzed according to the perception of
aspirants of different educational background regarding the
significance of minimum requisite quality, scope of utilization
the earned knowledge, skill in the work field and expectation
of socio-economic return from the career and others.
 It is found that most of the respondents perceive those
factors of career as significant in above average level. The
perceived less qualified and pessimistic persons are somehow
frustrated about
Findings and
Interpretation
The three important influential factors Age,
Gender and Education Level of youths in
preparation for career, in searching the utilization
scope of talents and expected returns from the
career with the malpractices in the employment in
public jobs that create pessimistic attitudes about
the entrance and continuation.
As a result, those factors have less influence in
career decision making.
Conclusion
Benefits of the Study
 It will create awareness.
 Preparation and Expectation in selected
career.
 The regional influences in career would be
identifiable easily.
Limitation of the research
The sampling frame and size of sample is the
visible limitation of that research. The lack of
sufficient literature due to insufficient study in
Bangladesh context is another limitation of
establishing theoretical background of that
study.
Further Research
Such type of research by resetting sampling
frame and taking larger sample size can be
used for effective generalization on that topic.
Research on other factors of career selection
may be used to judge the impact of these
factors on career selection and a regression
analysis can be done to establish an effective
equation on the factors of career selection.

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Career selection presentation

  • 1. Searching the Influencing Factors in Youth’s Decision on Career Selection: A Study on Selected Youths of Sylhet City, Bangladesh Mohammed Abdul Aziz Sylhet International University Sylhet, Bangladesh.
  • 3. Objectives of the research  To know the awareness level of the youths from the attachment with businessmen and job holders in their personal lives.  To find out the impact of different factors in making career decision in their different points of age range, genders and in education levels.  To analysis the impact of gender–friendly environment among the youths of both genders in their career choice
  • 4.  To evaluate the impact of education in selecting their career by considering the status of that career among the youths of different education levels. .  To come on conclusion about the impact of factors in job decision from the research in order to indicate some imperatives to the youths and enterprises. Objectives of the research
  • 5. Methodology • Research Design: The research was conducted to know perception about the factors considered by the youths to select of their future career at their preparation level, so this is categorized as a descriptive analytical applied research. • Sampling Design: To know the perceptions of youths of different age, gender and education range, the researchers used stratified random sampling of prospective youths of that region to collect the primary data.
  • 6. • Data Collection: The study was done in Sylhet city that is located on the banks of the Surma River and is surrounded by the Jaintia, Khasi and Tripura hills of India. It is the headquarter of Sylhet Division and Sylhet District. The primary data was collected from 235 youths of different educational institutions of Sylhet city by a well designed questionnaire. • Data Analysis: The collected data were processed through Microsoft Excel 07 and SPSS 19. The outputs were analyzed by the researchers subjectively and objectively to reach in an conclusion. Methodology
  • 7. Profile of Respondents Description Frequency Percent Cumulative Percent Age 18-24 154 65.5 65.5 24-28 52 22.1 87.7 28-32 29 12.3 100.0 Total 235 100.0 Gender Male 122 51.9 51.9 Female 113 48.1 100.0 Total 235 100.0 Education Level SSC 6 2.6 2.6 HSC 16 6.8 9.4 Degree 175 74.5 83.9 Masters 38 16.2 100.0 Total 235 100.0
  • 8. Gender and Gender Friendly Environment Element Gender Friendliness Total very Insignificant Insignificant Average Significance Strong Influence Gender Male Count 21 29 9 38 25 122 % within 17.20% 23.80% 7.40% 31.10% 20.50% 100.00% Female Count 2 5 14 37 55 113 % within 1.80% 4.40% 12.40 % 32.70% 48.70% 100.00% Total Count 23 34 23 75 80 235 % within 9.80% 14.50% 9.80% 31.90% 34.00% 100.00%
  • 9. Education level and Socio economic Status Education level Description Socio-Economic Status of job Total very Insignificant Insignificant Average Significance Strong Influence HSC Count 0 0 0 4 2 6 Percentage .0% .0% .0% 66.7% 33.3% 100 Under- Graduate Count 4 12 25 65 69 175 Percentage 2.3% 6.9% 14.3% 37.1% 39.4% 100 Graduate Count 0 2 2 20 14 38 Percentage .0% 5.3% 5.3% 52.6% 36.8% 100 Post- Graduate Count 0 0 1 8 7 16 Percentage .0% .0% 6.3% 50.0% 43.8% 100 Total Count 4 14 28 97 92 235 Percentage 1.7% 6.0% 11.9% 41.3% 39.1% 100 Chi-Square tests: Value df Asymp. Sig. (2-sided) Linear-by-Linear Association 1.620 1 .203
  • 10. Scope of using Earned Education and Skill Education level Description Scope of using Earned Education and Skill Total very Insignificant Insignifican t Averag e Significanc e Strong Influence HSC = Count 0 0 0 2 4 6 = Percentage .0% .0% .0% 33.3% 66.7% 100% Under-graduate = Count 3 12 27 62 71 175 = Percentage 1.7% 6.9% 15.4% 35.4% 40.6% 100% Graduate = Count 0 0 7 16 15 38 = Percentage .0% .0% 18.4% 42.1% 39.5% 100% Post-Graduate = = Count 0 1 6 6 3 16 Percentage .0% 6.3% 37.5% 37.5% 18.8% 100% Total = Count 3 13 40 86 93 235 = Percentage 1.3% 5.5% 17.0% 36.6% 39.6% 100% Value df Asymp. Sig. (2-sided) Linear-by-Linear Association 1.458 1 .227
  • 11. Demand of Job (Requisite Qualities) Education level Description Demand of Job (Requisite Qualities) Totalvery Insignificant Insignificant Moderatel y significant Significanc e Strong Influence HSC Count 0 0 0 1 5 6 Percentage 0.00% 0.00% 0.00% 16.70% 83.30% 100% Under-graduate Count 3 11 19 72 70 175 Percentage 1.70% 6.30% 10.90% 41.10% 40.00% 100% Graduate Count 0 2 3 15 18 38 Percentage 0.00% 5.30% 7.90% 39.50% 47.40% 100% Post Graduate Count 0 1 2 3 10 16 Percentage 0.00% 6.30% 12.50% 18.80% 62.50% 100% Total Count 3 14 24 91 103 235 Percentage 1.30% 6.00% 10.20% 38.70% 43.80% 100% Value df Asymp. Sig. (2-sided) Linear-by-Linear Association 0.549 1 0.459
  • 12.  The impact of education level, Age, Gender on career selection can be analyzed according to the perception of aspirants of different educational background regarding the significance of minimum requisite quality, scope of utilization the earned knowledge, skill in the work field and expectation of socio-economic return from the career and others.  It is found that most of the respondents perceive those factors of career as significant in above average level. The perceived less qualified and pessimistic persons are somehow frustrated about Findings and Interpretation
  • 13. The three important influential factors Age, Gender and Education Level of youths in preparation for career, in searching the utilization scope of talents and expected returns from the career with the malpractices in the employment in public jobs that create pessimistic attitudes about the entrance and continuation. As a result, those factors have less influence in career decision making. Conclusion
  • 14. Benefits of the Study  It will create awareness.  Preparation and Expectation in selected career.  The regional influences in career would be identifiable easily.
  • 15. Limitation of the research The sampling frame and size of sample is the visible limitation of that research. The lack of sufficient literature due to insufficient study in Bangladesh context is another limitation of establishing theoretical background of that study.
  • 16. Further Research Such type of research by resetting sampling frame and taking larger sample size can be used for effective generalization on that topic. Research on other factors of career selection may be used to judge the impact of these factors on career selection and a regression analysis can be done to establish an effective equation on the factors of career selection.