01 Pages : 1-9
Abstract
The study was conducted to assess the burnout of government teachers regarding selected demographic variables. A researcher-made, valid and reliable tool “Teacher’s Burnout Inventory-TBI” was used to assess the burnout level of SSTs. The reliability of the inventory was recorded as 0.822. Three null hypotheses were also devised and accordingly tested. The data analysis revealed that all together, the burnout level among SST teachers of D.I. Khan was. low. On the gender basis, a significant difference was recorded while, no significant differences were noted on the marital status and the locality facets of the burnout. Various recommendations, including increase in pay and allowances, convince and medical facilities. along with trainings regarding coping and diminishing stress and burnout, were made on the basis of data analysis.
Key Words
Burnout, Assessment, Emotional Exhaustion (EE), Depersonalization (DP), Personal Accomplishment (PA).
Introduction
The world is changing rapidly; These changes affect our societies which in turn affect the entire educational system. The development of the modern technology and its inclusion in schools and classrooms, changing current family structures, and legislative revolutions in the education system have strongly influenced various teaching-learning processes (Rodriguez & Fernandez, 2012).
The present-day teacher has to face over-work and high level of frustration. Factors like ungrateful school heads, intense un-academic work-load, improbable anticipations, poor professional environment, inappropriate planning, contest and disputes among the teachers, poverty and lack of the resources, illiterate parents, students’ discipline related problems, poor service conditions, unusual growing educational system, poor quality teacher trainings, rapidly varying social values, teachers’ social un-acceptability, fastidiousness, poor system policies, teachers’ own dilemmas, impatience and annoyance, inadequate control, lack of rewards and incentives, unfairness and conflict in values are . some of the factors causing stress and then burnout among the teachers (Leiter & Maslach, 2005; Küçüko?lu, 2014; Rajeswari, 2014; Jacobson, 2016). Hence, it is obligatory to make result oriented and serious efforts. to reduce these traumatic factors which eventually lead to burnout. Pleasant organizational environment, democratic and co-operative leadership and teachers’ social success are the major factors that can diminish their stress and hence burnout (Mohua, 2012).
The teachers face emotionally confrontational circumstances that warn their performance, their Psychological and physical welfare, and more generally the entire teaching-learning process (Kokkinos, 2007). Secondary School Teachers in this regard experience more harassment, reduced motivation, and more specifically the symptoms that cause exhaustion (Miguel & José, 2017) while exhaustion leads to cynicism (Gil-Monte, 2005) that further leads to reduced personal efficiency. Exhaustion, cynicism and reduced personal accomplishment lead to potential burnout (Leiter & Maslach, 2005).
Rationale of the Study
The existing literature available on burnout shows that only a few studies have been conducted in Pakistan that spotlight on teachers’ burnout. Teachers’ un-enjoying professional adjustments usually turn into burnout which causes multifarious psychological tribulations and consequently let downs teaching-learning process. Hence, the scholar considered it obligatory to conduct a study on teachers’ burnout. The study was. carried out in the view of three different demographic variables counting gender of teachers, school locality and their marital status as well.
Statement of the Problem
This study was conducted under the title “Assessment of the Government Teachers’ Burnout Regarding Selected Demographic Variables”. Various empirical studies on burnout verified its sequential growth i.e. initial exhaustion, then depersonalization and afterwards diminished personal accomplishment takes place (Brock & Grady, 2002; Leiter & Maslach, 2005). Exhaustion refers to tiredness due to lack of energy, depersonalization means keeping distance from people and reduced personal accomplishment means job inefficiency. that lead to Burnout (Leiter & Maslach, 2005).
Objectives of the study
The objectives of the study were:
1. To assess the burnout level of SST teachers.
2. To compare the SSTs’ burnout in relation to gender, locality and marital status.
Research Hypotheses
The following hypotheses were considered for this study:
H01: No significant difference occurs in the burnout of SST teachers concerning their gender.
H02: No significant difference occurs in the burnout of SST teachers concerning their school locality.
H03: No significant difference occurs in the burnout of SST teachers concerning their marital status.
Limitations and Delimitations of the Study
A researcher made tool “Teacher Burnout Inventory” was used to collect data from SSTs. The study was delimited to the SST teachers appointed in Government high schools of district DIKhan.
Significance of the Study
Burnout is considered as an important multifaceted psychological disorder in teachers. In the current study, the investigator has aimed to assess the burnout level of SSTs of district DIKhan which will be helpful for the teachers themselves and their school heads, as well as, educational administrators and policy makers to identify and then formulate appropriate actions for coping with their burnout. The true measures in this regard, will undeniably improve teaching learning process.
Literature Review
Burnout
The word “Burnout” at the first time was explained in the year 1975 by a US clinical psycho-analyst Freudenberger. He defined it as, “a state of emotional and corporal tiredness due to disproportionate demands on energy, potency and resources”.
According to Colman (2001), “Burnout is a delicate stress disorder or reaction characterized by exhaustion resulting from too much hard work with anxiety, tiredness, fatigue, insomnia (sleeplessness), depression, helplessness and impairment in work performance”. This definition points out burnout to be a disease caused by over dedication. According to Brock & Grady (2002) “Burnout is a syndrome of Emotional Exhaustion, Depersonalization, and reduced Personal Accomplishment that can occur among working individuals”.
Maslach’s Burnout Model
One of the most famous burnout models was presented by Maslach in the year 1982 that emphasized three constructs of burnout i.e emotional exhaustion, depersonalization, and reduced personal accomplishment. Exhaustion refers to “the feelings of physical strain and psychological tiredness as a result of constant personal interactions” while depersonalization means “the development of negative and distant feelings toward other people” and Diminished work performance means “the loss of confidence in personal performance and the presence of a negative self-image” (Rodríguez & Fernández, 2017). Exhausted Persons feel shattered, incapable to deal with, drained and down having insufficient energy along with physical pains and/ or stomach disturbances (Leiter & Maslach, 2005).
Reduction of Burnout
There are two different views to lessen burnout; one is to modify the individual him or herself and the other is to give attention to transform the organization and its working environment (Schaufeli & Buunk, 2003). However, it is relatively trouble-free to change an individual as compar. to modify the entire organization; so, the most favorable approach is to excite the personal agency (Maslach & Goldberg, 1998).
Burnout and Demographic Variables
Various demographics variables .related to burnout are sex, qualification, age, marital status, experience, pay, rewards and incentives, prizes and punishments, school head’s behavior, organizational policies, teacher’s own problems and various environmental and situational factors. . (Maslach & Jackson, 1981, 1984; Küçüko?lu, 2014).
Research Methodology
This was an empirical
study and mainly falls within the purview of survey research design. The population of the study consisted of. 884 SSTs
(Female=325, and Male=559) posted at Government High Schools of district
DIKhan. Keeping in view the
nature of the study, purposive stratified sampling technique was adopted. For
this purpose, Yamane
(1967) formula was used
which yield 272 as sample size.
(Sample size).
The only dependent variable of the
study was “Burnout” whereas gender, locality and marital status of SSTs were
selected the demographic variables. Required information was gathered from the selected SSTs
using researcher- made “Teacher’s Burnout Inventory”, however the central idea
for this inventory was taken up from Maslach and Jackson
(1981, 1986).The researcher used seven point
Likert scale that ranges for exhaustion scale 0-54 (for 9 items)0-30 for
depersonalization scale having 6 items and 0-48 for personal accomplishment
scale having 8 items.
Standardized
procedures were adopted to get validated the tool, using Exploratory Factor
Analysis, content and face
validity. For
reliability analysis,
Cronbach’s Alpha was used. In
the “Teacher Burnout Inventory- TBI”, 22 items were reserved and other 4 items
containing ITC values smaller than 0.4 were accordingly removed as suggested by
Pallant
(2010). The Cronbach’s alpha value for TBI was found
to be 0.822 which is suitable as proposed by Bryman & Cramer
(2010).
Following is the
range of scores on three different sub-scales of ‘Teacher Burnout Inventory’
(Range adopted from Maslach
& Jackson (1986)).
Table 1.
Showing Range of Burnout Scores
Exhaustion |
Depersonalization |
Personal
Accomplishment |
|
High Burnout
Level |
?27 |
?13 |
?30 |
Average
Burnout Level |
17 to 26 |
7 to12 |
31 to 36 |
Low Burnout
Level |
?16 |
?6 |
?37 |
Data Collection Procedure
Administration
of Teachers’ Burnout Inventory
For the purpose of
data collection, the TBI was distributed among 272 SSTs of district DIKhan out
of which only 204 SSTs responded among which 183 SST teachers responded
appropriately. So183 inventories were considered for data analysis.
Results & Analysis
Table 1. Descriptive
Statistics
Demographic
Variables |
Categories |
N |
Percentage |
Gender (N=183) |
Male |
97 |
53 |
Female |
86 |
47 |
|
Locality |
Urban |
117 |
63.9 |
Rural |
66 |
36.1 |
|
Marital
Status |
Unmarried |
47 |
25.7 |
Married |
136 |
74.3 |
This table shows that
out of 183 SSTs, 53% were male while 47% were female. Similarly 63.9% SSTs were
posted in urban while 36.1% SSTs were working in rural areas of district
DIKhan. Further 25.7% SSTs were unmarried while 74.3% SSTs were married. A
graphical representation of the above table is shown below:
Figure 1
Showing Percentage of SSTs on Gender, Locality and Marital Status.
Table
2. Number
and Percentage of SSTs on three Burnout Levels
Burnout Dimension |
Burnout Level |
N=183 %age |
Mean Burnout Score
with Interpretation |
|
Emotional Exhaustion |
Low |
97 |
53.0 |
15.09 Low |
Average |
40 |
21.9 |
||
High |
46 |
25.1 |
||
Depersonalization |
Low |
119 |
65.00 |
7.31 Moderate
|
Average |
31 |
16.90 |
||
High |
33 |
18.00 |
||
Personal Accomplishment |
Low |
49 |
26.80 |
37.63 High
|
Average |
27 |
14.80 |
||
High |
107 |
58.50 |
This table shows that that at Emotional Exhaustion aspect, 53% SSTs are
showing low burnout while 21.9% SSTs are showing average and remaining 25.1%
SSTs are lying in high burnout level. About 1/4th of the entire
sample showing high burnout on EE is highly shocking. This will highly disturb
their domestic as well as professional life. Further, more than half teachers
are lying in low burnout level. The mean value for entire sample (N=183) for EE
is 15.09 which also falls under low EE.
On Depersonalization aspect of burnout, 65% SSTs are showing low burnout
while 16.9% SSTs are showing average and remaining 18% SSTs are in high
burnout. About 1/5th sample showing high burnout on
depersonalization aspect of burnout which is again highly shocking. This
depersonalization will cause social detachment. Again more than half SSTs are
lying in low burnout level. The mean value for entire sample (N=183) for DP is
7.31 which falls under moderate DP.
On Personal Accomplishment, 26.80% SSTs are showing high burnout while
14.8% SSTs are showing average and remaining 58.50% SSTs are at low burnout
because lower means on PA means higher burnout and vice versa. About 1/4th
sample is showing high burnout on Personal accomplishment which is again highly
terrible. This shows that they are no more efficient in their professional
engagements. Here again more than half SSTs are lying in low burnout level. The
mean value for entire sample (N=183) for PA is 37.63 which also falls under
high PA.
From . Table 2, it is clear that the SSTs were facing low EE, moderate DP
and High PA which collectively means low burnout. Percentage of SSTs on 3
aspects of burnout is shown in . figure 2.
Figure 2
Showing Percentage of SSTs on three Dimensions of Burnout
Table
3. Gender
based Analysis of data of SSTs on Burnout
Burnout Dimensions |
Group |
N |
Mean |
SD |
‘t’ |
‘p’ |
Emotional
Exhaustion |
Male |
126 |
19.619 |
10.366 |
2.054 |
p=0.041< .05 Sig |
Female |
57 |
16.158 |
10.962 |
|||
Depersonalization |
Male |
126 |
11.87 |
6.102 |
3.955 |
0.000<.05 Sig |
Female |
57 |
07.96 |
6.344 |
|||
Personal
Accomplishment |
Male |
126 |
16.070 |
6.997 |
1.817 |
0.071>0.05 Not Sig |
Female |
57 |
18.119 |
7.104 |
This table shows that
't' value 2.054 comparing the mean values of emotional exhaustion of male and
female SSTs was significant (at 0.05 level) which depicts that a substantial
difference occurs among the means of male and female SST teachers. This means
emotional exhaustion was influenced by gender and cannot be characterized to a
chance factor of sampling error. The higher means of the male SSTs (M=19.619)
than the female SSTs (M=16.158) shows that the male SSTs were more burned out
than the female SSTs on the emotional exhaustion aspect of burnout.
Further 't' value
3.955 comparing the mean values of depersonalization aspect of burnout of male
and female SSTs was also significant (at 0.05 level) which shows that there
exists difference between the means of male and female SST teachers. This means
depersonalization was influenced by gender and cannot be characterized to a
chance factor of sampling error. The higher means of the male SSTs (M=11.87)
than the female SSTs (M=7.96) shows that the male SSTs were more burned out
than the female SSTs on the aspect of depersonalization.
The
table further reveals that‘t’ value 1.817 was not found significant
(P=0.071>.05). It pointed out that the male and the female SST teachers
don’t differ significantly with regard to burnout in terms of personal
accomplishment. The observed differences in their means occurred by chance.
Further mean score of the female SST teachers was greater than that of the male
SST teachers (M = 18.119 > M = 16.070), it may be said that the male SST
teachers experienced more burnout than their female colleagues on the personal
accomplishment aspect (because high scores of personal accomplishment indicates
lesser burnout and vice versa). As a
whole, the male SSTs were more burned out than the female SSTs. Therefore,
hypothesis H01 is rejected.
Figure 3
Table 4. Locality based
Analysis of data of SSTs on Burnout
Burnout Dimensions |
Group |
N |
Mean |
SD |
‘t’ |
‘p’ |
Emotional
Exhaustion |
Urban |
80 |
17.41 |
9.387 |
1.641 |
P=0.102>.05 Not Sig |
Rural |
103 |
20.00 |
11.99 |
|||
Depersonalization |
Urban |
80 |
10.51 |
7.050 |
-.255 |
P=0.799>.05 Not Sig |
Rural |
103 |
10.76 |
5.922 |
|||
Personal
Accomplishment |
Urban |
80 |
18.413 |
8.034 |
1.568 |
P=0.119>.05 Not Sig |
Rural |
103 |
16.757 |
6.244 |
This table shows that
‘t’ value 1.641, comparing the mean values of emotional exhaustion of urban and
rural SSTs, was not significant at 0.05 level indicating that the difference
between the means of urban and rural SSTs can be endorsed by a chance factor of
sampling error. It also means that emotional exhaustion was not influenced by
the locality. Both the urban and the rural SSTs experienced emotional
exhaustion of the same degree. However, higher mean of the rural SSTs (M=20.00)
than the urban SSTs (M=17.41) shows that the rural SSTs were more burned out
than the urban SSTs on the emotional exhaustion aspect.
This table further shows that 't' value -.255, comparing the
mean values of depersonalization of urban and rural SSTs, was also not
significant at 0.05 level, indicating that the difference between the means of
urban and rural SSTs can be characterized by a chance factor of sampling error.
It also means that depersonalization was not influenced by the locality. Both
the urban and the rural SSTs experienced depersonalization of the same degree.
The higher mean of the rural SSTs (M=10.76) than the urban SSTs (M=10.51) also
shows that the rural SSTs were more burned out than the urban SSTs on the
aspect of depersonalization.
The table also shows
that ‘t’ value 1.568, comparing the mean values of personal accomplishment of
urban and rural SSTs, was too not significant at 0.05 level, indicating that
the difference between the means of urban and rural SSTs can be ascribed by a
chance factor of sampling error. It also means that personal accomplishment was
not influenced by the locality. Both the urban and the rural SST teachers
experienced personal accomplishment of the same degree. However, greater mean
of the urban SSTs than the rural SSTs (M = 18.413> M = 16.757) indicates
that the rural SSTs experienced more burnout than the urban SSTs (because
higher scores of personal accomplishment indicates lower level burnout and vice
versa).
As
a whole, no significant difference exists in the burnout of SSTs on the
locality aspect. Thus, hypothesis H02 is accepted.
Table 5. Data Analysis based
on Marital status of SSTs on Burnout
Burnout Dimensions |
Group |
N |
Mean |
SD |
‘t’ |
‘p’ |
Emotional
Exhaustion |
Unmarried |
46 |
18.20 |
12.104 |
-.254 |
P=0.800>.05 Not Sig |
Married |
137 |
18.66 |
10.157 |
|||
Depersonalization |
Unmarried |
46 |
10.50 |
6.696 |
-.183 |
P=0.855>.05 Not Sig |
Married |
137 |
10.70 |
6.352 |
|||
Personal
Accomplishment |
Unmarried |
46 |
17.609 |
8.007 |
.141 |
P=0.888>.05 Not Sig |
Married |
137 |
17.438 |
6.814 |
This table shows that ’t’ value -.254, comparing the mean
values of emotional exhaustion of unmarried and married SSTs, was not
significant at 0.05 level, pointing that the difference between the means of
married and unmarried SSTs can be endorsed by a chance factor of sampling
error. It also means that emotional exhaustion was not influenced by marital
status. Both the unmarried and the married SSTs experienced emotional exhaustion
of the same degree. However, higher mean of the married SSTs (M=18.66) than the
unmarried SSTs (M=18.20) shows that the married SST teachers were more burned
out than the unmarried SST teachers on the aspect of emotional exhaustion.
Table also shows
that 't' value -.183, comparing the mean
values of depersonalization of unmarried and married SSTs, was not significant
at 0.05 level, indicating that the difference between the means of unmarried
and married SSTs can be endorsed by a chance factor of sampling error. It also
means that depersonalization was not influenced by the marital status. Both the
unmarried and the married SSTs experienced depersonalization of the same
degree. The higher mean of married SSTs (M=10.70) than unmarried SSTs (M=10.50)
shows that married SST teachers were more burned out than unmarried SSTs.
The table further reveals that ‘t’ value
-.183, comparing the mean values of personal accomplishment of unmarried and
married SSTs, was not significant at 0.05 level, indicating that the difference
between the means of the unmarried and the married SSTs can be ascribed by a
chance factor of sampling error. It also means that the personal accomplishment
was not influenced by the marital status. Both the unmarried and the married
SSTs experienced personal accomplishment of the same degree. Since the mean
score of unmarried SST teachers was greater than that of married SSTs (M =
17.609 > M = 17.438), it may be said that the married SSTs experienced more
burnout than the unmarried SSTs (because higher score of personal
accomplishment shows lower burnout).
As
a whole, no significant difference occurs in the burnout of SSTs on marital
status basis. Hence, hypothesis H03 is accepted.
Findings and Discussions
The study entitled, “Assessment of government teachers’ burnout regarding selected demographic variables” aimed at finding the burnout level of SSTs along with the comparison of their burnout in connection with certain demographic variables. The study was delimited to the SST teachers of district D.I.Khan. Required data using “Teacher Burnout Inventory” was collected from 183 SSTs. The collected data was analyzed using SPSS (Version 22.00).
1. The results show that burnout is present among SSTs of district D.I.Khan in varying degrees in all its three aspects. Overall SSTs are facing low burnout level (Ref Table 2).
2. Testing of Hypothesis H01: The data analysis clearly depicts that the significant difference exists in the SSTs’ burnout in consideration of their gender. So H01 is rejected (Ref Table 3). The means of male and female SSTs on EE, DP and PA were recorded as 19.619, 11.87, 16.070 and 16.158, 7.96, 18.119 respectively which shows that male SSTs were more burned out than female SSTs.
3. Testing of Hypothesis H02: The data analysis clearly depicts that null significant difference exists in the SSTs’ burnout as far as their school locality is concerned. So H02 is accepted (Ref Table 4).The means of the urban and the rural SSTs on EE, DP and PA were recorded as 17.41, 10.51, 18.413 and 20.00, 10.76, 16.757 respectively which show that rural SSTs were more burned out than urban SSTs.
4. Testing of Hypothesis H03: The data analysis also depicts that null significant difference exists in the SSTs burnout concerning their marital status. So H03 is accepted (Ref Table 5). The means of unmarried and married SSTs on EE, DP and PA aspects were recorded as 18.20, 10.50, 17.609 and 18.66, 10.70, 17.438 respectively which shows that the married SST teachers were more burned out than the unmarried SSTs.
Conclusions
From the above findings, the following conclusions were drawn:
1. Overall, SSTs of district D.I.Khan were facing low burnout.
2. The male SSTs were more burned out than the female SSTs.
3. The rural and the urban SSTs were facing the same burnout.
4. The married and the unmarried SSTs were also facing the same burnout level.
Recommendations
From the above conclusions, the following recommendations were drawn:
1. Proper measures must be made to eliminate the burnout of all D.I.Khan SSTs, so that teaching-learning process may be accomplished smoothly. School climate should be pleasant and friendly. Suitable salaries and incentives along with medical, transport, compensatory allowances, hard area allowance and other facilities should be given to all teachers.
2. In Pakistani context, males are considered as the head of family. They have diverse responsibilities. Hence, Government should take measures to reduce their burnout by providing facilities and paying those sound salaries.
References
- Brock, B. L., & Grady, M. L. (2002). Avoiding Burnout: A Principal's Guide to Keeping the Fire Alive. Thousand Oaks, California: Corwin Press, Inc.
- Bryman, A., & Cramer, D. (2010). Quantitative data analysis with SPSS release 10 for windows: A guide for social scientists. New York: Routledge.
- Colman, A. M. (2001). A Dictionary of Psychology. New York/ Oxford: Oxford University Press.
- Freudenberger, H. J. (1974). Staff Burn-Out. Journal of Social Issues, 30 (1), 159-165.
- Gil-Monte, P. (2005). The burnout syndrome: An occupational disease in the welfare society. Madrid: Pirámide .
- Jacobson, D. A. (2016). Causes and Effects of Teacher Burnout. Walden University.
- Kokkinos, C. M. (2007). Job stressors, Personality and Burnout in Primary School Teachers. British Journal of Educational Psychology , 77, 229-243.
- Küçükoğlu, H. (2014). Ways to Cope with Teacher Burnout Factors in ELT Classrooms. Procedia - Social and Behavioral Sciences, 116, 2741-2746.
- Leiter, M., & Maslach, C. (2005). Banishing Burnout: Six Strategies for Improving Your Relationship with Work. San Fransisco: Jossey-Bass.
- Maslach, C. (1982). Burnout: The Cost of Caring. Psychiatric Services, 34 (7).
- Maslach, C., & Goldberg, J. (1998). Prevention of burnout: New perspectives. Applied & Preventive Psychology, 7 (1), 63-74.
- Maslach, C., & Jackson, S. E. (1984). Burnout in Organizational Settings. Applied Social Psychology Annual, 5, 133-153.
- Maslach, C., & Jackson, S. E. (1986). Maslach burnout inventory manual (2nd ed.). Palo Alto, CA: Consulting Psychologists Press.
- Maslach, C., & Jackson, S. E. (1981). The measurement of experienced Burnout. Journal of Orgazinational Behavior, 2 (2), 99-113.
- Miguel, R.-M. J., & José, F.-D. M. (2017). The effect of interpersonal relationships on burnout syndrome in Secondary Education teachers. Psicothema, 29 (3), 370-377.
- Mohua, B. (2012). Professional burnout in relation to emotional intelligence, mental health and social success of elementary school teachers. Department of education. Chandigarh: Punjab University.
- Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using the SPSS program (4th ed.). New York: McGraw Hill.
- Rajeswari, H. (2014). Burnout- Impact on Nursing. Narayana Nursing Journal: Love For Care .
- RodrÃÂguez-Mantilla, J. M., & Fernández, M. J. (2017). The effect of interpersonal relationships on burnout syndrome in Secondary Education teachers. psicothema, 29 (3), 370-377.
- Schaufeli, W. B., & Buunk, B. P. (2003). Burnout: An overview of 25 years of research in the orizing. In M. J. Winnubst, & C. L. Cooper (Eds.), The handbook of work and health psychology (pp. 383-425). Chichester: Wiley.
- Yamane, Taro. (1967). Statistics: An Introductory Analysis, 2nd Ed., New York: Harper and Row.
Cite this article
-
APA : Iqbal, M. J., Atta, M. A., & Nawaz, Q. (2020). Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables. Global Educational Studies Review, V(I), 1-9. https://doi.org/10.31703/gesr.2020(V-I).01
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CHICAGO : Iqbal, Muhammad Javed, Malik Amer Atta, and Qayyum Nawaz. 2020. "Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables." Global Educational Studies Review, V (I): 1-9 doi: 10.31703/gesr.2020(V-I).01
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HARVARD : IQBAL, M. J., ATTA, M. A. & NAWAZ, Q. 2020. Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables. Global Educational Studies Review, V, 1-9.
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MHRA : Iqbal, Muhammad Javed, Malik Amer Atta, and Qayyum Nawaz. 2020. "Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables." Global Educational Studies Review, V: 1-9
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MLA : Iqbal, Muhammad Javed, Malik Amer Atta, and Qayyum Nawaz. "Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables." Global Educational Studies Review, V.I (2020): 1-9 Print.
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OXFORD : Iqbal, Muhammad Javed, Atta, Malik Amer, and Nawaz, Qayyum (2020), "Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables", Global Educational Studies Review, V (I), 1-9
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TURABIAN : Iqbal, Muhammad Javed, Malik Amer Atta, and Qayyum Nawaz. "Assessment of Government Teacher's Burnout Regarding Selected Demographic Variables." Global Educational Studies Review V, no. I (2020): 1-9. https://doi.org/10.31703/gesr.2020(V-I).01