ob stress continues to be a concern and research interest across occupations and professions.
Established theories help us to understand the fundamentals of the concept, models
and determinants of job stress, and there is no much variation with regards to social
appreciation and its different implications on our life, relationships and performance.
However, experts in the domain and people across segments widely differ in their perceptions,
beliefs, and experiences about the possibilities and potentials of different stress
coping mechanisms. Unlike other issues or phenomena, the subject 'job stress' has
drawn attention of researchers from across disciplines, such as social and behavioral
sciences, economics, clinical psychology, psychiatry, medicine, yoga, and spirituality,
etc. Several studies have been conducted to explore the sources and consequences of
organizational job and role stress. The subject, particularly role stress among professionals,
has a rich theoretical and empirical background in the Western world (Cooper, Cooper & Eaker, 1988;Howie, Porter & Forbes, 1989;Rout & Rout, 1993;Rout et al., 1997;Sutherland & Cooper, 1993). However, to the best of researchers' knowledge, few studies on role stress have
been conducted in India.
It does not affect only the employees' work life, but has far-reaching impact on their
family and social life as well. Schular R. S. (1980) defines 'Stress as a dynamic
condition in which an individual is confronted with an opportunity, constraint or
demand related to what he or she desires and for which the outcome is perceived to
be both uncertain and important': Is it a consequential phenomenon? Or a conditional
one to ensure better productivity and performance of people? Exploring evidence to
such questions might divide our opinions, and due to the predominant existence of
empirical studies in the domain, we narrowly fail to reach any customized solutions
for people engaged in different occupations and professions. Perhaps, scholars will
agree that ever-changing performance demands might be one of the most prominent factors
responsible for job stress. The interest of researchers in the domain has been rising
as the phenomenon is getting increasingly complex due to overt and covert relationships
among several factors, including demography physical mental and intellectual ability;
value orientation and attitude, ambition and purpose of life; priorities in life;
self-perceptions; alertness and many others. Inevitably there are several other external
factors which are beyond our control, such as employers' expectations and social aspirations.
The emerging societies perceive the role of teachers very differently when compared
to traditional societies. The contemporary opportunities and challenges through technological
advancements, proliferation of digital and e-learning platforms, demand for skill-based
education, growing recognition for selflearning modules, etc. continuously posing
threats to the conventional role of teachers. Both voluntarily and involuntarily teachers
are pushed to adapting needbased and tech-driven learning mechanisms, where there
is a growing influence of students and other stakeholders. The demand for activity-based
and participatory learning has redefined the role of teachers from educators to learning
facilitators. However, despite all such changes and transformations, the teachers
have not yet lost their relevance. The provision of excellence in education system
still depends on adequately qualified and skilled teachers.
A couple of recent studies have been reviewed to understand how much and how far similar
studies have already been done in the domain so that the scope for the present study
could be defined.
2. II. Review of Literature
Gandhi (2017) conducted a study on job stress of teachers working in self-financed
colleges of Punjab and Rajasthan. A sample of 200 teachers was selected randomly from
self-financed colleges. Occupational Stress Index (OSI) by Srivastava and Singh (1984)) was used for investigation and measurement. The analysis was conducted with the
aid of SPSS by utilising statistics such as mean, standard deviation and t-ratio.
The study revealed that there was no significant difference in job stress among the
respondents. However, it is pertinent to note that there is no mention about any prospective
common or uncommon stress factors among male and female, and any significant difference
in stress level among them.
Chatterjee (2016) assessed the occupational stress, job satisfaction and mental health
of employees of banks and IT firms. The study reveals that work is infringing on the
personal lives of the respondents and that affects their mental health. Evidence indicates
that respondents prefer more balancing work and life than expecting job security and
other benefits. The study concludes that it is more important to aid the employees
to combat various dimensions of occupation stress and job dissatisfaction so that
they can exhibit effective organizational citizenship behaviour and contribute to
reducing attrition costs. However, the study has not yet looked into the differences
among respondents about their individual coping mechanisms. Majumder (2015) finds that occupational stress has a negative impact on both employees and companies.
He mentions that in general people perceive teaching as a comfortable and stress-free
job. But the facts revealed in the study alter the perception and confirm the existence
of moderate to high level of job stress among teachers of private management colleges.
The study throws light on factors responsible for occupational stress, the effect
of stress and the coping strategies adopted by teachers in Kolkata, West Bengal. But
there is no insight shared by the scholar about similarities and differences regarding
respondents' stress factors and coping mechanisms across their gender, age-groups,
subjects taught, etc. Aftab and Khatoon (2015) in their study examined the relationships of a set of independent variables (gender,
qualification, teaching experience, salary, subjects taught and marital status) with
occupational stress among secondary school teachers. The sample in this study consisted
of 608 teachers from 42 schools of Uttar Pradesh in India. The teachers' Occupational
Stress Scale was used for measurement of stress level and t-test and F-test were used
for statistical inferences. Males displayed more occupational stress towards job than
the females. The undergraduate teachers were found to have higher occupational stress
than post-graduate and trained teachers. The findings of the study indicated a positive
relationship between teachers' years of experience and level of stress. Teachers with
longer experience have comparatively higher level of stress than the juniors. However,
no significant difference was observed among monthly salary, subjects taught, marital
status and occupational stress of secondary school teachers.
Nagra and Kaur (2014) in their study aimed at measuring the level of occupational
stress and its relation to coping strategies with respect to their gender, subject
streams and nature of the job. Occupational Stress Index and self-constructed Coping
Strategies Scale were used to collect data from a randomly selected 200 secondary
school teachers. Statistical techniques such as mean, standard deviation, t-test and
linear regression were used for analysis. The results revealed that secondary school
teachers experienced a higher level of occupational stress and moderately used coping
strategies. Significant differences were found between teachers' occupational stress
and their gender and nature of the job. But the study has not yet ascertained the
difference between males and females regarding their age groups, stress factors and
coping mechanisms.
In another study on faculty members in higher educational institutes, Rajarajeswar
(2013) finds three most critical factors responsible for their job stress, such as
teaching load, examination, and, administrative work. The scholar noted that most
of the teachers show apathy towards non-teaching assignments and according to them
those create anxiety led stress among them.
Through their research findings, Gomathi and Deepika (2013) indicate that employers'
over expectation from employees may lead to short-term increase in their performance,
but in the long run, it causes harm to employees' health and consistent performance.
It is understood through the analyses and discussion in the study that an inclusive
and participatory working environment may help employees dealing with stress, but
no practical guidelines are suggested to create and sustain such environment. In a
similar study, Nayak (2008) has affirmed that appropriate environment and support to each employee may help them
reduce stress, but no concrete evidence has been given about how to customize such
support. The scholar finds that there are variations in the experience of stress associated
with work, role, personal development, interpersonal relation and institutional ambiance
by the male and female degree college teachers. If so, any unitary approach may not
be effective for employees with varied stress experience.
The above review reiterates the existence of stress among employees on different jobs
across industries and professions. The measured stress factors have been found to
be common with or without significant differences among males and females, teachers
with different tenure of experience and subjects they deal with. Hardly, there is
any study which can specifically mention unique stressors for males and females, and
teachers with different other identities. Also, there has been hardly any attempt
to investigate, (i) whether stress level and coping patterns differ across different
age groups, marital status, teachers with different educational levels etc., and (ii)
whether there is any association between teachers' social engagements and job stress.
Sometimes, we may assume that teachers' stress experience may differ according to
their motivating factors behind joining the profession. Do religious affiliations
have any association with job stress? Whether traditional stress factors are still
relevant or there exist any new stress factors? Such issues too are important and
so deserve research attention. The present study has been planned to fill the above
gaps and contribute substantially for better understanding the phenomenon. To fulfill
the above purpose, the following objectives are formulated.
3. b) Null Hypotheses
To fulfill the above objectives, following nullhypotheses have been formulated for
testing.
H 01 : There is no association between age, gender, and education of the respondents
and their level of stress.
H 02 : There is no association between age, gender and marital status of the respondents
and their coping ability to overcome stress.
4. III. Method
The descriptive research design was used in the study. The data were collected from
both primary and secondary sources. Firstly, an attempt was made to explore non-conventional
causes of stress, if any, among the educators and their unique way of coping with
stress. Later, the inputs obtained through exploratory study were incorporated to
construct the questionnaire. Before the final use of the tool, it was pretested and
modified to ensure validity. The link of the questionnaire was sent through email
to 350 educators working in private or self-financed post-graduate institutions in
Pune and Mumbai. Out of those, only 207 responded and only 188 had filled the questionnaire.
Hence, the sample size for the study came out to be 188. The collected data were analyzed
by employing the statistical tools like percentage analysis and Chi-square test.
5. IV. Results and Discussion
6. a) Job Stress and Determining Factors
There have been numerous studies conducted to understand and describe the motivational
factors for teaching professionals in schools, colleges and other higher educational
institutes. Also, attempts might have been made to find out associations and correlations
between teachers' motivation and students' performance. No one can ignore that teachers'
motivation may directly or indirectly impact their performance, as well as of their
students.
The present study reveals a very interesting finding. For instance, in (Table-1) 'remuneration'
(and financial benefits on or through the job) appears to be the most prominent motivational
factor for a larger majority (71 percent) of the respondents, followed by 'comfort'
associated with the job (52.3 percent) and 'social respect' (about 39 percent). Teachers
as 'role models' and their 'passion' may be perceived by people as some of the most
important motivational factors for teachers. However, these factors were not so important
in the study. Like other past studies, the present study attempts to ascertain if
there is any statistical association between teachers' age, gender and educational
level, and their level of job stress. First, we analyse the distribution of respondents
according to their level of stress, and then by conducting non-parametric test, we
will assess the association between three independent variables (age, gender and,
education) and, job stress. If we observe the results in tables (1 & 2), we can assume
that 'remuneration' as teachers' most cited 'motivational factor' has no determining
role in keeping them stress-free on the job. About 78 percent (Table -2) of the respondents have expressed the prevalence of moderate to high level of job
stress. The respondents in the age group of 25-35 years appear to have more stress
than their juniors and seniors. Why that particular age group is having more stress?
There may exist several factors in and out of jobs, and to explore those, an interview
method would be more effective. Taking into consideration the limitations, the study
further explored the nature of association between age and level of stress. From the
chi-square test results, it was found that the table value (Table-3A) is less then
chi-square value, so the null hypothesis is rejected. Therefore, there is an association
between age and stress level of respondents. -4) we find that male teachers (about 72 percent) have more job stress when compared
to females (about 86 percent). It may be due to their dual roles, i.e., managing family
and job together. We can infer from these findings that female teachers may find it
difficult to balance their work and life when compared to their male colleagues. However,
such propositions require further research and investigation to reach any decisive
conclusion. However, the chi-square test (Table-4A) results show that there is no
association between gender and, level of stress. The findings presented in the last
two tables do not endorse each other which may warrant further research. Unlike gender,
respondents' educational status has an association with their job stress (Table-5A).
It was found that the respondents with higher level of education have comparatively
more job stress than the others. The teachers with MPhil degrees (about 76 percent)
have more stress than those with PhD. It could be due to the institutional and/or
professional pressure on them to pursue doctoral degrees to survive and grow on their
jobs. The findings presented in Table-6 revealed that the 'feeling of job insecurity',
'uncertainty about career development', 'inadequate vacations' and 'lack of students
learning interests' were some of the most prominent stress factors perceived by the
respondents. With the exception of the fourth important factor, the other factors
cited by the respondents indicate that perhaps in most of the private institutions,
the faculty members are deprived of getting adequate support and assistance to pursue
their career goals. It could be inferred that many faculty members' are working either
with the fear of losing their job or with inadequate provisions for availing 'vacations'.
Moreover, such type of working environment will not encourage and facilitate the faculty
members to pursue higher education. Job stress may be prevalent across occupations
and professions. Also, people may or may not be consciously aware about its existence
and impact on their work and life. However, recognizing its inevitability, the management
and related stakeholders must put concerted efforts to educate and sensitize people
about it and facilitate them to acquire knowledge and skills to cope stress. A further
probe in the study reveals that (Table -7) majority of respondents (about 60 percent) are optimistic and believe that coping
with stress is possible. Another important finding of the study was that the respondents
were trying on their part to minimise the negative effects of job stress in their
life. It is pertinent to note that there is sufficient empirical evidence on 'stress
management' as a concept and practice in the industry. However, it is not empirically
evident in higher educational institutes. More than 90 percent of respondents enjoy
'reading' as their hobby (Table -8) and believe that it helps in overcoming their job stress. Also, as another coping
mechanism, the majority of them engage themselves, either voluntarily or involuntarily,
in serving society and needy (Table -9). About 70 percent (Table -10) believe that visiting their religious places and engaging into spiritual activities
help them to cope with stress. In the next section an attempt has been made to test
the associations between age, gender and marital status of respondents and their coping
ability. -3). However, at the same time it may be noted that they possess better coping capabilities
with their respective stress levels. The calculated chi-square value (Table-11A) indicates
the existence of significant association between respondents' age and their coping
abilities. Table-4A) with their level of stress, it has a significant association with their coping abilities.
If we observe gender-specific coping abilities, we can see that compared to females,
males' coping abilities are much better (Table-13), and there is a significant association
between respondents' gender and their coping abilities (Table-13A). Perhaps males
have better advantages, regarding their freedom of choice and liberty, and so they
can cope with stress better than their female colleagues. But the scenario is different
when we compare married with the unmarried respondents. The Table-14 indicates that
when males are married, the couple together (87.7 percent, n=73) cope up with stress
better than the unmarried respondents (85.21 percent, n=115). However, the calculated
chi-square value (Table-14A) narrowly escapes the level of significance to claim their
association, and it might be due to variance in the composition of male and females
in the sample.
7. V. Conclusion
An interesting finding of the study was that the motivation for financial incentives
was significantly contributing to the overall stress levels among the educators. Perhaps
one could infer a paradigm shift from 'teaching as a passion' to 'teaching as a career'
which could be a contributing factor to increased stress levels. Another significant
finding was that female educators undergo more stress than male counterparts. Furthermore,
married educators possessed better coping mechanisms than the unmarried. The study
revealed that 'feeling of job insecurity, 'uncertainty in career, 'inadequate leave,
and 'lack of student's interest' were the dominant stress factors. Finally, the study
found that the educators perceived 'spending quality time with friends and family,
'social media activity, 'playing with kids, 'sports and games' as the most important
coping mechanisms.
Figure 1. Table 1 :1
Opinion
Frequency
%
Social Respect
73
38.8
Passion
47
25
Remuneration
137
71
Role Model
56
30
Comfort
98
52.3
Others
32
17
Figure 2. Table 2 :2
Level of Stress Frequency
%
Low
41
21.8
Medium
69
36.72
High
78
41.48
188
100
Figure 3. Table 3 :3
Age
Low
Level of Strass Medium High
Total
< 25 Years
6
8
12
26
25-35 years
22
47
50
119
35-50 years
8
11
10
29
> 50 years
4
3
7
14
40
69
79
188
Figure 4. Table 3A :3A
Age Groups
Chi -Square Value
Table value
Df
Results
24.56
12.59
6
Significant at 5% level
In (Table
Figure 5. Table 4 :4
Gender
Low
Level of Stress Medium High
Total
Male
29
40
36
105
Female
12
28
43
83
41
68
79
188
Table 4A: Association between Gender and Level
of Stress
Gender
Chi Square Value
Table Value
Df
Results
7.5
9.48
4
Significant at 5% level
Figure 6. Table 5 :5
Education
Level of Stress Low Medium High
Total
%
PG
2
2
13
17
09.05
PG+ MPhil
30
59
53
142
75.53
PG+ Ph.D.
9
9
11
29
15.42
41
70
77
188
100
Table 5A: Association between Education and Level
of Stress
Education level
Chi-Square
Table value
D.F
Results
11.42
9.48
4
Significant at 5% level
Figure 7. Table 6 :6
Causes
High
Moderate
Low
The feeling of Job insecurity
128
41
19
Lack of learning interest among students
102
67
19
Micro-management practices at the work-place
83
93
12
Uncertainty about career development
123
30
35
Irrational performance standards
78
87
23
Discomfort with non-academic assignments
67
59
62
Inadequate vacations
117
58
13
b) Respondents Stress Coping Mechanisms
Figure 8. Table 7 :7
Response
Frequency
%
Possible
112
59.57
Impossible
12
6.38
No response
64
34.1
188
100
Figure 9. Table 8 :8
Reading As Hobby
Frequency
%
Always
91
48.40
Sometimes
83
44.1
Never
14
7.46
188
100
Figure 10. Table 9 :9
Type of Engagement
Frequency
%
Voluntary Service
43
22.87
Involuntary Service
145
77.13
Never
67
35.6
Figure 11. Table 10 :10
Type of Interest
Frequency
%
Profound Interest
74
39.4
Moderate Interest
59
31.4
No Interest
54
28.7
Figure 12. Table 11 :11
Age
Low Medium High
Total
Below 25
0
10
16
26
25-35
23
48
49
120
35-50
3
17
7
27
Above-50
0
13
2
15
26
88
74
188
Figure 13. Table 12 :12
Chi-Square
Table value
D.F
Results
Age
22.96
12.59
6
Significant at 5% level
However, while respondents' gender has no
association (
Figure 14. Table 13 :13
Low Moderate High
Total
Male
9
52
45
106
Female
17
36
29
82
26
88
74
188
Figure 15. Table 13A :13A
Gender Chi -Square
Table value
D.F
Results
20.00
5.991
2
Significant at 5% level
Figure 16. Table 14 :14
Low Moderate High
Total
Married
9
31
33
73
Unmarried
17
57
41
115
26
88
74
188
Figure 17. Table 14A :14A
Chi Square Value
Table value
D.F
Results
Marital Status
5.561
5.991
2
Not Significant
Figure 18. Table 15 :15
Coping Mechanism
High
Moderate
Low
Total (n)
Outing with friends
63
87
29
179
Cooking & shopping
27
53
19
99
Playing with kids
41
67
29
137
Games/swimming
31
57
23
111
Watching movie/ listening music
51
83
19
153
Networking on social media
57
93
13
163
Smoking & drinking
49
16
21
86
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