- Job’s
Opportunity
- Financial
Benefits
Abstract
The main objectives of this study were to find the enticing factors of career decision making process among tertiary level students in south Punjab, Pakistan. Data were collected through a survey, and quantitative methods were used for analysis to present evidence to verify the research hypothesis of this study. The many enticing factors were assessed through a structured questionnaire. Family background, family system, parental cultural capital, household income level, parental occupations, peer group influence on the career decision-making process, all these factors of career decision making the process of the students were observed through a structured questionnaire. In order to obtain an overall picture of the data, a descriptive analysis was applied to frequencies distribution; bivariate analysis was used for establishing the relationship between the independent and dependent variables of the current study. Pearson Chi-Square test was showed that there is an association between parental cultural capital and career decision-making among tertiary education students.
Key Words
Enticing Factors, Parental Cultural Capital, Career Decision, Tertiary Education.
Introduction
Education is very necessary for everyone to improve socio-economic status; it sets the career direction for future life. Education plays a vital role in career decision making. Career selection is a significant decision of a student’s life which plays a strategic role to improve the social status and quality of life of the students. Decision-making is one of the complex mechanisms of the human thinking process. All students are born into a social setting; parents directed their children for their future planning which suited to the social and cultural environment. The researcher found there was a great influence of parental cultural capital on the career decision making in tertiary level education in south Punjab. The parental cultural capital has a significant impact on the student’s career decision-making process between upper and lower family background students. The privileged family background students have faced no financial problems, and they easily secured their admissions in highly scoped fields at tertiary level education which leads to success in their future lives and those students who belong to the less privileged parental cultural capital faced many financial issues and they likely to pursue their future in vocational and less paid fields (Bourdieu, 1977). In the traditional society like Pakistani, youth is dependent upon parent’s direction to make decisions for them; most of the students selected a career according to their family traditions, in traditional society hardly ever career is chosen scientifically based upon aptitude testing and career counselling (Arif, S., 2019). The education level of parents determines their children educational success and also parental cultural capital strongly associated with the selection of specific career selection for their children (Goyette, 2008). It is also observed that the parent’s occupational fields are strongly associated with their children major subjects’ selection process at tertiary level education (Dustmann, 2004). Parental cultural capital has strong effects on their children educational achievement and moves from secondary to tertiary level education (Conley, 2001). The parental aspirations were influenced by children educational and occupation future planning. The social class, family background, parental occupation, attitudes and behaviors have affected differently the overall educational achievement and future career selection of their children (Bodovski 2010). The educational achievements of the middle class indicated that parental cultural capital plays a vital role in the educational attainment and career decision-making of their children. Parents see the higher social status in the higher education of their children, therefore; they spent their economic and social resources to support and encourage their children in prestigious high fields of study (Shah et al., 2010). The family cultural capital has supported their children in the study filed selection which helps them to achieve high status in their future (Howard et al., 2009). Parental psychological support encouraged, and support to their children in the career decision making and the parental occupation determines the educational selection choices of their children (Leppel et al., 2001). In traditional society parents are the primary source of influential on child’s occupational selection process, in south Punjab people are strongly associated with their traditions and youth of this area is bound to obey the instructions given by their parents.
Review of Literature
Mahler & Winkelmann (2004) investigated that the family structure has a great influence on the education level of children and the field of study. The education level of children depends on family structure and resources. Single-parent families adversely affect children's educational choices, and it is believed that single-parent families restrict the field of study of German students. Stocke (2007) explored the impact of social class on student education decision-making. Research has found that parents’ classroom status is closely related to students’ academic achievement and academic performance. Parents were found to be very concerned about the motivation to maintain their state and also motivated to increase investment in children's education to achieve a similar family social status. Goldrick-Rab (2006) argued that there is a significant difference in college attendance among students with low and high socioeconomic backgrounds. The study found that students with low socioeconomic backgrounds found delayed university admissions, interrupted university attendance, university transfer trends, and two- to four-year schooling. Students who get more financial resources from their families are less likely to postpone enrollment and have fewer interruptions in attendance.
Bodovski (2010) explored that social class, ethnic background, and parenting style determine the attitudes and behaviors of parents, and these attitudes and behaviors will affect the overall education level of children differently. The research mainly addresses these issues: to find the relationship between parents’ socioeconomic status and their parents’ educational desires, and to what extent parents’ desires are related to the educational achievements of white and African American students. Research has shown that there are patterns of racial differences in parental behavior. Relatively speaking, white students have acquired more social and cultural capital. Parents have a very high socio-economic background, so it can raise children's educational expectations of their parents. The study further explained that higher socioeconomic background and higher educational aspirations are positively correlated with students’ educational achievement.
Theoretical Framework
Social Reproduction Theory
The theory holds that how children belong from different backgrounds received different kind of education which prepares them for their future role in social class structure order (Furlong, 2009). The work of Bourdieu showed the correlation between the parental cultural capital and their children educational achievements and also provides a greater conceptual explanatory power to the educational choices in the current modern world and described that individuals’ class positions provide differentially access to these resources which may create different patterns of privilege and inequality.
?
Conceptual Framework
Independent Variables
·
Parental Cultural Capital ·
Family background ·
Parental Education ·
Parental Occupation ·
Parental income
|
Dependent Variable
Career Decision-Making |
·
Primary Socialization
|
Methodology
In this study, Quantitative approaches were used to conduct the research. The data were collected through a survey questionnaire, the universe of the study was all students enrolled in graduate classes in the general cadre public colleges in South Punjab, all students enrolled in graduate classes in the public colleges of Layyah and Multan was target population. These two districts were selected though conveniently, one from the high populated district (Multan) and other from the low populated district (Layyah). As the population of the study was too big, and for the researcher within available resources and time, it was not possible to collect data from all the public colleges of Layyah and Multan. Multistage sampling was used, therefore, on the first stage, eight easily accessible public colleges, four colleges from Layyah and Multan, respectively. On the second stage, the stratified random sampling technique was used to draw a representative sample from the target population. Each selected college was divided into three strata; Sciences group, Arts group and commerce, from each stratum 20 students were selected randomly with equal representation of both genders, 320 respondents were interviewed from eight selected colleges (02 boys’ colleges + 02 girls’ colleges) Layyah and Multan, respectively. A stratum consisted of 20 students from graduate classes, and two strata (01 Sciences group + 01 Arts group & commerce group) were selected from each college. This resulted in 320 respondents were interviewed from both districts. 160 respondents were interviewed from four public colleges (02 boys’ colleges + 02 girls’ colleges) Layyah and Multan, respectively. The questionnaire was constructed for data collection from the selected students. SPSS version 20 software was used for data analysis; Inferential and descriptive statistics were applied for the stem line of the respondent’s opinion. On the initial stage, descriptive statistical analyses were used to measure the central tendency (mean and median). Bivariate analyses (Chi-square test) were used to analyze the association between parental cultural capital and career decision-making among tertiary education students.
Results and Discussions
The descriptive analysis showed that the majority of the students (62.8%)
belonged to the age category of 15-20 years. The gender of respondents, 50% was
male, and 50% was female. 55.3% of students were living in the joint family
system, 33.9% father’s education was college level.
Table 1. Your Father’s
Education Level * It is your First Choice of Career
Variables |
It is your First
Choice of Career |
Total |
|||
To Great Extent |
To Some Extent |
Not at all |
|||
Your father’s Education Level |
Illiterate |
8 |
15 |
8 |
31 |
Primary |
12 |
10 |
9 |
31 |
|
Middle |
8 |
19 |
24 |
51 |
|
Matric |
30 |
22 |
31 |
83 |
|
College |
42 |
26 |
34 |
102 |
|
University |
11 |
7 |
4 |
22 |
|
Total |
111 |
99 |
110 |
320 |
Chi-square value (c2) = 19.401a, d.f =
10, “P” Value = 0.035, Level of significance =0.05 The “P” value 0.035 is less than the level of significance
0.05, (P-value 0.035 < 0.05 level of Sig.). It means that there is a significant
association between the father’s level of education and the student’s study
group choices for their career planning. In south Punjab, the parent’s tertiary
education level influence the student’s career decision making. 31.6% respondent’s mothers were illiterate,
but others categories of mother’s education of middle, matric and college
education show that the majority of the student’s mothers were educated and
most of them were housewives.
Table 2. Your Mother’s
Education * It is your First Choice of Career
Variables |
It is your First
Choice of Career |
Total |
|||
To Great Extent |
To Some Extent |
Not at All |
|||
Your Mother’s Education |
Illiterate |
44 |
24 |
33 |
101 |
Primary |
24 |
32 |
18 |
74 |
|
Middle |
10 |
22 |
33 |
65 |
|
Matric |
14 |
8 |
19 |
41 |
|
College |
19 |
7 |
7 |
33 |
|
University |
0 |
6 |
0 |
6 |
|
Total |
111 |
99 |
110 |
320 |
Ch-square value (c2) = 46.699a, d.f =
10, “P” Value = 0.000, Level of significance =0.05 The “P” value 0.000 it means “P” is less than 0.001which is
less than the level of significance 0.05, (P-value 0.000 < 0.05 level of
Sig.). It means that is association between the Student’s Mother’s education
level and the student’s first choice of career selection.
Table 3. Your Household’s
Income Per Month * Your Study Group in College
Variables |
Your Study
Group in College |
Total |
|||
Science |
Arts |
Commerce |
|||
Your Household’s Income Per Month |
Less than
10,000 |
14 |
12 |
1 |
27 |
10,000-20,000 |
36 |
51 |
5 |
92 |
|
20001-30000 |
28 |
36 |
4 |
68 |
|
30001-40000 |
40 |
31 |
2 |
73 |
|
40001-50000 |
23 |
10 |
0 |
33 |
|
More than 50000 |
19 |
6 |
2 |
27 |
|
Total |
160 |
146 |
14 |
320 |
Ch-square value (c2) = 19.308a, d.f =
10, “P” Value = 0.37, Level of significance =0.05 The “P” value 0.037 is less than the level of significance
0.05, (P-value 0.037 < 0.05 level of Sig.). It means that there is
significant association between the Household’s income and the Student’s study
group in college.
The 82.5% respondents were agreed (40%) and strongly agreed (42.5%)
with the statement family background play a vital role in career decision
making because without family support it is not easy to achieve your goal
Table 4. Your Father’s
Occupation * Family Background Play Any Role in Career Decision Making
Variables |
Family Background
Play any role in Career Decision Making |
Total |
|||||
Strongly Disagree |
Disagree |
Neutral |
Agree |
Strongly Agree |
|||
Your father’s Occupation |
Job |
0 |
6 |
16 |
32 |
46 |
100 |
Business |
2 |
1 |
8 |
39 |
53 |
103 |
|
Farmer |
0 |
8 |
15 |
57 |
37 |
117 |
|
Total |
2 |
15 |
39 |
128 |
136 |
320 |
These tables show that the “P” value 0.007 is less than the level of
significance 0.05, (P-value 0.007 < 0.05 level of Sig.) It means that
it is an association between the father’s occupation and family background play
a role in the student’s career decision making. 162 (50.6%) respondents were in
favor that career counselling is very helpful in career planning. The majority
of respondents (70.6%) said there is no facility of a career counselling center
in their college or university campuses, it means these colleges and campus
initiate the career counselling centres for the better future planning of
students. The 81.1% respondents were agreed with the statement of have
discussed my career choice with family members. 56.6% of respondents were
agreed, and 27.5% were strongly agreed with the statement that the family
expected them to study in this career. 52.2% of respondents were agreed, and
16.9% were strongly agreed with that parent’s occupation influenced their
career decision. The 77% of respondents were in favor to choose parents
profession. 79.2% of respondents were in favor to choose parents profession
because they were feeling a sense of security and hoped that their parent’s
profession gave them success in a future life, especially in professional life.
Table 5. Your Study Group
Is According to the Own Choice * Parent’s Occupation Influenced on My Career
Decision
Variables |
Parent’s Occupation
Influenced on my Career Decision |
Total |
||||
Disagree |
Neutral |
Agree |
Strongly Agree |
|||
Your study group is according to their own choice |
To a great extent |
36 |
22 |
122 |
37 |
217 |
To some extent |
17 |
20 |
43 |
13 |
93 |
|
Not at all |
2 |
2 |
2 |
4 |
10 |
|
Total |
55 |
44 |
167 |
54 |
320 |
Ch-square value (c2) = 13.495a, d.f =
06, “P” Value = 0.036, Level of significance =0.05 The “P” value 0.036 is less than the level of significance
0.05, (P-value 0.036 < 0.05 level of Sig.). It means that it is an association
between the student’s current fields of study is according to his/her own
choice and Parent’s occupation in the student’s career decision making.
Table 6. Your Study Group is According to the Own Choice * My Parent’s
Profession May be Grated me Feeling of Security in the Future
Variables |
My Parent’s Profession
may be Grated me Feeling of Security in the Future |
Total |
|||||
Strongly
Disagree |
Disagree |
Neutral |
Agree |
Strongly Agree |
|||
Your study group is according to their own choice |
To a great extent |
1 |
16 |
23 |
131 |
46 |
217 |
To some extent |
2 |
10 |
16 |
46 |
19 |
93 |
|
Not at all |
0 |
0 |
4 |
2 |
4 |
10 |
|
Total |
3 |
26 |
43 |
179 |
69 |
320 |
These tables show that the “P” value 0.032 is less than the level of
significance 0.05, (P-value 0.032 < 0.05 level of Sig.) so, the researcher accepted
the alternative hypothesis on the 0.05 level of significance. It means that it is
an association between the student’s current fields of study is according to
his/her own choice, and Parent’s profession may be grated me feeling of
security in the future.
Table 7. Your Study Group
is According to the own choice * My Parent’s profession gives me better
Lifestyle in Future
Variables |
My Parent’s Profession
gives me Better Lifestyle in Future |
Total |
|||||
Strongly Disagree |
Disagree |
Neutral |
Agree |
Strongly Agree |
|||
Your study group is according to their own choice |
To a great extent |
0 |
10 |
21 |
133 |
53 |
217 |
To some extent |
2 |
15 |
15 |
48 |
13 |
93 |
|
Not at all |
0 |
0 |
4 |
6 |
0 |
10 |
|
Total |
2 |
25 |
40 |
187 |
66 |
320 |
This table shows that the “P”
value 0.000 is less than the level of significance 0.05, (P-value 0.000 <
0.05 level of Sig.) so, the researcher accepted the alternative hypothesis on
the 0.05 level of significance. It means that it is an association between the
student’s current fields of study is according to his/her own choice, and Parent’s
profession may be grated me better lifestyle in the future. The researcher
observed 84.3% respondents were agreed that the friends are also a source of
counselling and have guidance and have great influence in one’s career
decision. 79.1% respondents have friends in their particular study group. The
79.4% respondents have discussed with friends and consulting institutions
during the selection of particular career. The 79.4% respondents got helped
from friends at the time of choosing their career. Ch-square value (c2) = 33.248a, d.f =
06, “P” Value = 0.000, Level of significance =0.05
The “P” value 0.000 is less
than the level of significance 0.05, (P-value 0.000 < 0.05 level of Sig.).
It means that is an association between the student’s selection of current
fields of study and peer group has influenced to select this particular study
group which leads to a better future life. The 75 % respondents were discussed
with friends if they not discussed, they have chosen another career of life; it
means there is a great influence of peer group on the career decision process.
The 190 (59.4%) respondents said agreed that social media influenced
them in the selection of subjects. The 73.3% respondents influenced by a newspaper
in the selection of career. The 186 respondents said that jobs ads had influenced
the selection of career. The 76.9 % respondents were influenced by jobs ads in the
selection of career. The 63.1% respondents were agreed and strongly agreed
19.4% that they have influenced by T.V programs in their career selection.
Ch-square value (c2) = 18.875a, d.f =
04, “P” Value = 0.016, Level of significance =0.05
The “P” value 0.016 is less than the level of significance 0.05,
(P-value 0.016 < 0.05 level of Sig.). It means that it is an association
between the student’s selection of current fields of study and the influence of
social media on the selection of this study group as the career planning of
future life.
Majority of respondents (62.8%) were agreed and (22.2%) were strongly
agreed that one’s gender plays a vital role in his career selection. The 63.4%
respondents were agreed, and 18.4% were strongly agreed that there is an
influence of socio-cultural expectations on one’s choice of career selection.
58.8% respondents were agreed, and 21.9% were strongly agreed that the working
condition in a certain career suitable for one gender. Ch-square value (c2) = 19.836a, d.f =
08, “P” Value = 0.011, Level of significance =0.05, The “P” value 0.011 is less
than the level of significance 0.05, (P-value 0.011 < 0.05 level of Sig.).
It means that is an association between the student’s first choice of study and
gender role in the selection of a suitable career for one’s specific gender.
60.9 % students were agreed, and 22.8% were strongly agreed that the gender is
limited to him/her to select others career option. 54.4% respondents were
agreed, and 30.3 % were strongly agreed that they are engaged with a suitable
career with their gender. Majority of students 63.8% were agreed, and 21.9%
were strongly agreed that psychological factors play a vital role in one’s
career decision. 56.6% students were agreed, and 31.3% were strongly agreed
that they have a personal interest in this career selection. Ch-square value (c2) = 21.951a, d.f =
06, “P” Value = 0.001, Level of significance =0.05 The “P” value 0.001 is less than the level of significance
0.05, (P-value 0.001 < 0.05 level of Sig.). It means that it is a
relationship between the student’s first choice of study and the (Psychological
factors) personal interest in this particular field of study. The majority of
respondents, 58.8% were agreed, and 28.4% were strongly agreed that the current
field of study is according to their skills, competencies and abilities. 60.0%
students were agreed, and 30.0% were strongly agreed that they easily accessed
to this particular career. 59.4%
respondents were agreed, and 29.1% were strongly agreed that teacher’s
motivation influenced in the student’s career selection. Ch-square value (c2) = 15.681a, d.f =
06, “P” Value = 0.016, Level of significance =0.05
The “P” value 0.016 is less than the level of significance 0.05,
(P-value 0.016 < 0.05 level of Sig.). It means that it is an association
between the student’s first choice of study and Psychological factors this
field is according to my skills, competencies and abilities.
The majority of the
respondents 55.6% were agreed, and 34.1% were strongly agreed that they
influenced by their school in the career selection process. 57.8% respondents
were agreed, and 30.0% were strongly agreed that they are sure that the
selected field of study enabled them to run their own business. The majority of the respondents 57.5% were
agreed, and 31.9% were strongly agreed that the selected fields of study
granted more financial rewards in their future lives.
Conclusion
The study found that the early socialization process and background variables of the family significantly affected students' career choices. The student was found to have made a decision consistent with family traditions. The family is the source of capital, and the parents' education and professional background have an impact on the students' career decision-making process. Both students use their parental status as a reference to achieve a status similar to that of their parents, and the students may reproduce their parental resources. In the traditional society like Pakistani, youth is dependent upon parent’s direction to make decisions for them; most of the students selected a career according to their family traditions, in traditional society hardly ever career is chosen scientifically based upon aptitude testing and career counselling. The findings of the study are supported by the theory of social reproduction, which shows that the family’s social origin plays an important role in children’s education. Family background constitutes the social and cultural capital of students. Parental cultural capital provides visionary students with access to useful information so that they can make smart career decisions. The theory suggests that parents invest in children’s education because they want to reproduce their resources in the future.
The study also found that students imitated their parents and adopted peers in their career decisions. The social learning theory of career decision-making considers the influence of parental cultural capital such as family traditions, family background social and economic status, which are factors that affect students' career choices at tertiary level education. In general, the research results are supported by theoretical viewpoints, namely, social reproduction theory. The research found an association between the basic theoretical assumptions means parental cultural capital and the main findings student’s career decision-making at tertiary level education in south Punjab.
References
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- Arif, S., Iqbal, J., & Khalil, U. (2019). Factors Influencing Students' Choices of Academic Career in Pakistan. FWU Journal of Social Sciences, 13(1).
- Bodovski, K. (2010). Parental practices and educational achievement: Social class, race, and habitus. British Journal of Sociology of Education, 31(2), 139-156.
- Bourdieu, P., &Passeron, J. C. (1977). Reproduction in education, society and culture. London: Sage.
- Conley, D. (2001). Capital for college: Parental assets and postsecondary schooling. Sociology of Education, 74(1), 59-72.
- Dustmann, C. (2004). Parental background, secondary school track choice, and wages.Oxford Economic Papers, 56(2), 209-230.
- Furlong, A. (Ed). (2009). Handbook youth and adulthood: New perspectives and agendas. New York: Routledge International.
- Goldrick-Rab, S. (2006). Following their every move: An investigation of social-class differences in college pathways. Sociology of Education, 79 (1), 67-79.
- Howard et al., (2009). The relation of cultural context and social relationships to career development in middle school. Journal of Vocational Behaviour, 75(2), 100-108.
- Leppel, K., Williams, M. L., &Waldauer, C. (2001). The impact of parental occupation and socioeconomic status on choice of college major. Journal of Family and Economic Issues, 22(4), 373-394.
- Mahler, P., & Winkelmann, R. (2005). Single motherhood and (un) equal educational opportunities: Evidence for Germany (No. 0512). Working Paper, Socioeconomic Institute, University of Zurich.
- Shah, B., Dwyer, C., &Modood, T. (2010). Explaining educational achievement and career aspirations among young British Pakistanis: Mobilizing ‘Ethnic Capital'? Sociology, 44(6), 1109-1127.
- Stocké, V. (2007). Explaining educational decision and effects of families' social class position: An empirical test of the Breen-Goldthorpe model of educational attainment. European Sociological Review, 23(4), 505- 519.
Cite this article
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APA : Abbas, G., Farooq, M., & Mehmood, B. (2020). Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab. Global Regional Review, V(III), 48-55. https://doi.org/10.31703/grr.2020(V-III).06
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CHICAGO : Abbas, Ghulam, Muhammad Farooq, and Babak Mehmood. 2020. "Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab." Global Regional Review, V (III): 48-55 doi: 10.31703/grr.2020(V-III).06
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HARVARD : ABBAS, G., FAROOQ, M. & MEHMOOD, B. 2020. Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab. Global Regional Review, V, 48-55.
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MHRA : Abbas, Ghulam, Muhammad Farooq, and Babak Mehmood. 2020. "Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab." Global Regional Review, V: 48-55
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MLA : Abbas, Ghulam, Muhammad Farooq, and Babak Mehmood. "Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab." Global Regional Review, V.III (2020): 48-55 Print.
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OXFORD : Abbas, Ghulam, Farooq, Muhammad, and Mehmood, Babak (2020), "Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab", Global Regional Review, V (III), 48-55
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TURABIAN : Abbas, Ghulam, Muhammad Farooq, and Babak Mehmood. "Exploring the Socio-economic Factors of Career Decision-Making among Tertiary Education Students in South Punjab." Global Regional Review V, no. III (2020): 48-55. https://doi.org/10.31703/grr.2020(V-III).06