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.