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www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
232 Copyright © 2018. IJEMR. All Rights Reserved.
Volume-8, Issue-1 February 2018
International Journal of Engineering and Management Research
Page Number: 232-236
Factors Influencing Overall Job Satisfaction Level of Teachers in Erode
District
Arasu Periyasaamy1
and Dr. V. Vijayalakshmi2
1
Ph.D Scholar, Kovai Kalaimagal College of Arts & Science, Narasipuram PO, Coimbatore, INDIA
2
Assistant Professor, Kovai Kalaimagal College of Arts & Science, Narasipuram PO, Coimbatore, INDIA
ABSTRACT
Traditionally, teaching was a combination of
information-dispensing, custodial child care and sorting out
academically inclined students from others. The underlying
model for schools was an education factory in which adults,
paid hourly or daily wages, kept like-aged youngsters
sitting still for standardized lessons and tests.Teachers were
told what, when, and how to teach. They were required to
educate every student in exactly the same way and were not
held responsible when many failed to learn. They were
expected to teach using the same methods as past
generations, and any deviation from traditional practices
was discouraged by supervisors or prohibited by myriad
education laws and regulations. Thus, many teachers
simply stood in front of the class and delivered the same
lessons year after year, growing gray and weary of not
being allowed to change what they were doing. The present
study focuses on factors influencing overall job satisfaction
level of teachers in Erode district.
Keywords-- Teaching, Traditional Practices, Job
Satisfaction, Erode District
I. INTRODUCTION
Recasting the relationship between students and
teachers demands that the structure of school changes as
well. Though it is still the norm in many places to isolate
teachers in cinderblock rooms with age-graded pupils
who rotate through classes every hour throughout a
semester or every year, in the case of elementary school
this paradigm is being abandoned in more and more
schools that want to give teachers the time, space, and
support to do their jobs. Extended instructional periods
and school days, as well as reorganized yearly schedules,
are all being tried as ways to avoid chopping learning
into often arbitrary chunks based on limited time. Also,
rather than inflexibly group students in grades by age,
many schools feature mixed-aged classes in which
students spend two or more years with the same
teachers.
II. REVIEW OF LITERATURE
B. R.Ananthan and SudheendraRao (2011)
researched the elements of representative maintenance
practices and procedures and frameworks continued in
MNCs and Indian firms. Utilizing an organized self-
finishing survey having extraordinary reference to
explicit maintenance systems and their versatility, the
information has been gathered on 550 respondents (335
representatives and 215management). Results uncovered
that representatives had higher scores on complete
maintenance techniques, the board/hierarchical
methodologies, award and acknowledgment systems,
worker advantage procedures, and worker thoughts and
idea systems. Notwithstanding, no distinction was seen
among Indian and MNCs on different maintenance
systems. Ramifications of the examination have been
featured as, view of the representatives over complete
maintenance procedures was essentially higher than
respondents from the board side and not many of the
particular systems the executives/authoritative
methodologies, award and acknowledgment techniques,
worker advantage methodologies, and representative
thoughts and idea methodologies workers had higher
scores than the administration. The exploration
discoveries of this investigation uncover that the
representative assumptions are higher than authoritative
hopes. Their proceeding with exertion and the
simultaneous organization of all around incorporated and
refined HRM foundations certify the idea that pay
bundles, albeit significant, have restricted
accomplishment in staff inspiration and maintenance. In
total, while Western HRM rehearses are generally
received in India in differing degrees, the country source
of the particular MNC is as yet a significant factor that
molded the stages to decide how a firm can deliberately
encourage staff maintenance and improve representative
hierarchical linkage.
Cheryl Belbin (2011) researched worker
maintenance by inspecting representative view of labor
force maintenance methodologies to decide whether any
parts of the technique affect representative turnover
expectation. The test site for this examination was
Queensland Health. The 3000 attendants focused on
were from 63 destinations in 8 Health Service Districts
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233 Copyright © 2018. IJEMR. All Rights Reserved.
inside the association. Review technique was picked.
Three inspiration hypotheses were adjusted and applied
to labor force maintenance systems to distinguish
maintenance factors and these were remembered for a
reasonable structure to test the connections. The study
took a gander at consciousness of, investment in, and
saw viability of, 28 labor force maintenance techniques
offered by Queensland Health and how these might
impact an employee’s aim to turnover. The connection
between maintenance elements and turnover expectation
was additionally researched, and segment factors were
incorporated to decide whether they influenced the
connection between maintenance variables and turnover
aim. The study’s discoveries affirmed that of the partner
of medical attendants studied, most knew about, and had
partaken in, at least one of the labor force maintenance
procedures recorded. The significant obstruction in the
respondents‟ mindfulness was their absence of
information on which labor force maintenance
procedures were being offered, for the most part because
of absence of advancement. The positioning of the
viability of labor force maintenance techniques
uncovered an inclination for those that gave a money
related benefit, and less significantly, an expert
improvement opportunity. The investigation likewise
uncovered that there was a positive connection between
maintenance factors and diminished turnover
expectation. Further to these discoveries, various
subjects arose reliably and firmly with respect to nurses‟
view of turnover aim. These included; absence of help,
absence of authority, high responsibility, deficiency of
staff, tormenting and no acknowledgment of the job.
These outcomes have significant ramifications for
functional upgrades in Queensland Health. The
discoveries have set a strong establishment for additional
examinations and extended exploration openings, while
revealing a little insight into this intricate relationship.
Sherjung Khadka (2011) investigates worker
maintenance in the financial business of Nepal. The
particular reason for the examination is to inspect and
investigate the worker turnover, HR rehearses and their
connection with representative maintenance; and
systems for worker maintenance. Representative
turnover is the serious issue of most associations.
Elements like-pay and advantages, nature of work life,
relationship with director or companion, after retirement
benefits plan, work execution, and so on assume a
critical part in representative turnover. The board ought
to recognize these variables to make them sure or ideal
and ought to apply fitting systems to hold workers.
Recruiting practices, remuneration and advantages,
professional stability, participative administration,
preparing and advancement, development openings, and
so on are the fundamental segments of HR rehearses
which help to maintenance of representative. The
association ought to perceive these segments and ought
to apply appropriate methodologies to hold their key
representatives. Further examination can explain
different parts of the HR rehearses and their effect on
hierarchical adequacy.
III. RELIABILITY ANALYSIS
The reliability of scales used in this study was
calculated by Cronbach's coefficient alpha. Cronbach’s
alpha reliability coefficient normally ranges between 0
and 1. However, there is actually no lower limit to the
coefficient. The closer Cronbach’s alpha coefficient is to
1.0 the greater the internal consistency of the items in the
scale. The coefficient alpha values exceeded the
minimum standard of .70. It’s provided good estimates
of internal consistency reliability.
The formula is as follows:
Where
k is the number of items in the scale.
r is the average correlation pairs of items.
As the number of items in the scale (k) increase, the
value of alpha becomes larger.
If the inter-correlation between items is large, the
corresponding alpha will also be larger.
Table 1.1: Reliability for Factors Influencing Overall Job Satisfaction Level of Teachers
S. No. Items
Scale mean if
item deleted
Cronbach's alpha if
item deleted
1 Overall condition of work environment 122.365 0.888
2 Working and functioning of the school policies 122.585 0.887
3 Interpersonal relationship between the teachers and management 122.755 0.887
4 Regulation policy and control provided by the administration 122.755 0.885
5 Frequent collaboration of colleagues as work groups 122.845 0.884
6 Social aspect of school settings 122.815 0.884
7 Management’s attitude towards teachers. 122.805 0.884
8
Training and orientation programmes provided by the
management 122.685 0.886
9 Responsibilities given to teachers in the school 122.655 0.885
10 Effective participation in making students learn differently 122.695 0.892
11 Effective motivation of students to learn independently. 122.655 0.892
12 Level of autonomy given to the teachers 122.585 0.892
r
k
kr
)
1
(
1 



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234 Copyright © 2018. IJEMR. All Rights Reserved.
13 Recognition in the form of appreciation awards 122.585 0.887
14 Basic needs provided by the school 122.605 0.887
15 Support from parents and community 122.365 0.888
16
Leave benefits provided at the right time by the school
management. 122.585 0.887
17 House hold duties often interfere and disturb the school activities 122.755 0.887
MEAN 122.653
VARIANCE 164.29
STD. DEVIATION 13.89
CRONBACH'S ALPHA 0.819
NO. OF ITEMS 17
It reveals that all the seventeen measurement
scale items are reliable as the Cronbach alpha coefficient
of 0.819. It is greater than the threshold level of 0.70. It’s
provided good estimates of internal consistency
reliability and also coefficient alpha values ranged from
0.884 to 0.892 for all the constructs. It is indicating that
the scales used in this study were reliable. It clearly
indicates that above scale items are consistent with each
other and they are reliable measure of factors related to
factors influencing overall job satisfaction level of
teachers, so that it can be used for next analysis.
Dimensionality of the Multi-Scale Items (Factor
Analysis)
Factor Analysis is a set of technique which by
analyzing correlations between variables reduces their
numbers into fewer factors which explain much of the
original data, more economically. Even though a
subjective interpretation can result from a factor analysis
output, the procedure often provides an insight into
relevant psychographic variables, and results in
economic use of data collection efforts. The subjective
element of factor analysis is reduced by splitting the
sample randomly into two and extracting factors
separately from both parts. If similar factors result, the
analysis is assumed as reliable or stable.
Table 1.2: Kmo and Bartlett’s Test for Factors Influencing Overall Job Satisfaction Level of Teachers
Kaiser-Meyer-Olkin Measure of Sampling Adequacy
0.743
Bartlett’s Test of Sphericity: Approx. Chi-Square 2542.12
Sig 0.000**
S/NS S
**P<0.001 *P<0.05 S-Significant
From the above table 4.4.2 two tests namely,
Kaiser-Meyer-Olkin Measure of Sampling Adequacy
(KMO) and Bartlett’s Test of Sphericity have been
applied to test whether the relationship among the
variables has been significant or not. The Kaiser-Meyer-
Olkin Measure of sampling adequacy shows the value of
test statistics is 0.743, which means the factor analysis
for the selected variable is found to be appropriate or
good to the data. Bartlett’s test of sphericity is used to
test whether the data are statistically significant or not
with the value of test statistics and the associated
significance level. It shows that there exists a high
relationship among variables.
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235 Copyright © 2018. IJEMR. All Rights Reserved.
Table 1.3: Communalities for Factors Relatedto Satisfaction Levels Regarding the Overall Job Satisfaction Level of
Teachers
S.NO. ITEMS Initial Extraction(h2
)
X1 Overall condition of work environment 1.000 0.774
X2 Working and functioning of the school policies 1.000 0.764
X3 Interpersonal relationship between the teachers and management 1.000 0.716
X4 Regulation policy and control provided by the administration 1.000 0.512
X5 Frequent collaboration of colleagues as work groups 1.000 0.584
X6 Social aspect of school settings 1.000 0.694
X7 Management’s attitude towards teachers. 1.000 0.751
X8 Training and orientation programmes provided by the management 1.000 0.696
X9 Responsibilities given to teachers in the school 1.000 0.511
X10 Effective participation in making students learn differently 1.000 0.743
X11 Effective motivation of students to learn independently. 1.000 0.743
X12 Level of autonomy given to the teachers 1.000 0.676
X13 Recognition in the form of appreciation awards 1.000 0.728
X14 Basic needs provided by the school 1.000 0.619
X15 Support from parents and community 1.000 0.663
X16 Leave benefits provided at the right time by the school management. 1.000 0.653
X17 House hold duties often interfere and disturb the school activities 1.000 0.605
The above table 1.3 (Communalities) represents
the application of the Factor Extraction Process, it was
performed by Principal Component Analysis to identify
the number of factors to be extracted from the data and
by specifying the most commonly used Varimax rotation
method. In the principal component analysis, total
variance in the data is considered. The proportion of the
variance is explained by the seventeen factorsin each
variable. The proportion of variance is explained by the
common factors called communalities of the variance.
Principal Component Analysis works on initial
assumption that all the variance is common. Therefore,
before extraction the communalities are all 1.000. Then
the most common approach for determining the number
of factors to retain i.e., examining Eigen values was
done.
Table 1.4: Rotated Component Matrix Forfactors Reated to Satisfaction Levels Regarding the Overall Job Satisfaction
Level of Teachers
Variable code
Component
I II III IV
X7 .787 0.299 -0.041 0.045
X2 .732 -0.044 -0.468 -0.059
X12
.721
0.362 0.045 -0.036
X16 .659 0.385 0.364 0.219
X9 .642 0.427 0.414 0.160
X3 .378 .754 0.190 0.140
X10 .156 .735 -0.544 -0.153
X14 .166 .701 .119 -.096
X6 .458 .695 -.035 .059
X8 .029 .201 .701 .197
X4 .412 .325 .695 -.283
X5 0.204 .223 .683 0.229
X11 -0.077 .235 .624 -0.177
X1 -0.099 .256 .236 .556
X17 -0.096 .149 .128 .543
X15
.143 .090 .259 .741
X13 .157 .315 .483 .695
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Rotation converged in 8 iterations.
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236 Copyright © 2018. IJEMR. All Rights Reserved.
Table 1.4 represents the Rotated Component
Matrix, which is an important output of principal
component analysis. The coefficients are the factor
loadings which represents the correlation between the
factors and seventeen variables (X1 to X17). From the
above factor matrix it is found that coefficients for
factor-I have high correlation with X7,x2,X12,X16, and
X9 which is Management’s attitude towards
teachers,Working and functioning of the school policies,
Level of autonomy given to the teachers, Leave benefits
provided at the right time by the school management and
Responsibilities given to teachers in the school.
It is evident that factor II have absolute
correlation with 4 variables namely X3,X10,X14, and X6
which isInterpersonal relationship between the teachers
and management, Effective participation in making
students learn differently, Basic needs provided by the
school and Leave benefits provided at the right time by
the school management.
This is also observed from the analysis that there
are 4 variables contributing to factor III namely
X8,X4,X5,X11, which isTraining and orientation
programmes provided by the management, Regulation
policy and control provided by the administration,
Frequent collaboration of colleagues as work groups and
Effective motivation of students to learn independently.
Finally there are 4variables contributing
variation in Factor IV which includes X1,X17,X15, and
X13 which is Overall condition of work
environment,House hold duties often interfere and
disturb the school activities, Support from parents and
community, Recognition in the form of appreciation
awards respectively.
IV. CONCLUSION
It is evident form the analysis that
Management’s attitude towards teachers, Working and
functioning of the school policies, Level of autonomy
given to the teachers, Leave benefits provided at the
right time by the school management and
Responsibilities given to teachers in the school are the
primary factors influencing the job satisfaction level of
teachers in erode district.
REFERENCES
[1] Ali. N. (2005). Factors affecting overall Job
Satisfaction and Turnover Intention. Journal of
Managerial Sciences, 2(2), 240-253.
[2] Ananthan. B.R & Rao L N.S. (2011). Multitier view
of employee retention strategies in Indian and global
companies- A critical appraisal. International Journal of
Research in Commerce & Management, 2(9).
[3] Ananthan. B.R & Rao. L.N.S. (2011). Dynamics of
retention: Practices and strategies 5SCMS. Journal of
Indian Management, 120.
[4] Priyadarshi, P. (2011). Employer brand image as
predictor of employee satisfaction, affective commitment
& turnover. Indian Journal of Industrial Relations,
46(3), 510.
[5] Ramlall. S. (2003). Managing employee retention as
a strategy for increasing organizational competitiveness.
Applied H.R.M., 8(2), 63-72.
[6] Ranjan, R. (2013). Employee turnover and retention
strategies in non-profit organizations in India: An
empirical study. For the thesis submitted for the award
of PhD in Business Administration in department of
business administration, faculty of management studies
& research Aligarh Muslim University, Aligarh.

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  • 1. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 232 Copyright © 2018. IJEMR. All Rights Reserved. Volume-8, Issue-1 February 2018 International Journal of Engineering and Management Research Page Number: 232-236 Factors Influencing Overall Job Satisfaction Level of Teachers in Erode District Arasu Periyasaamy1 and Dr. V. Vijayalakshmi2 1 Ph.D Scholar, Kovai Kalaimagal College of Arts & Science, Narasipuram PO, Coimbatore, INDIA 2 Assistant Professor, Kovai Kalaimagal College of Arts & Science, Narasipuram PO, Coimbatore, INDIA ABSTRACT Traditionally, teaching was a combination of information-dispensing, custodial child care and sorting out academically inclined students from others. The underlying model for schools was an education factory in which adults, paid hourly or daily wages, kept like-aged youngsters sitting still for standardized lessons and tests.Teachers were told what, when, and how to teach. They were required to educate every student in exactly the same way and were not held responsible when many failed to learn. They were expected to teach using the same methods as past generations, and any deviation from traditional practices was discouraged by supervisors or prohibited by myriad education laws and regulations. Thus, many teachers simply stood in front of the class and delivered the same lessons year after year, growing gray and weary of not being allowed to change what they were doing. The present study focuses on factors influencing overall job satisfaction level of teachers in Erode district. Keywords-- Teaching, Traditional Practices, Job Satisfaction, Erode District I. INTRODUCTION Recasting the relationship between students and teachers demands that the structure of school changes as well. Though it is still the norm in many places to isolate teachers in cinderblock rooms with age-graded pupils who rotate through classes every hour throughout a semester or every year, in the case of elementary school this paradigm is being abandoned in more and more schools that want to give teachers the time, space, and support to do their jobs. Extended instructional periods and school days, as well as reorganized yearly schedules, are all being tried as ways to avoid chopping learning into often arbitrary chunks based on limited time. Also, rather than inflexibly group students in grades by age, many schools feature mixed-aged classes in which students spend two or more years with the same teachers. II. REVIEW OF LITERATURE B. R.Ananthan and SudheendraRao (2011) researched the elements of representative maintenance practices and procedures and frameworks continued in MNCs and Indian firms. Utilizing an organized self- finishing survey having extraordinary reference to explicit maintenance systems and their versatility, the information has been gathered on 550 respondents (335 representatives and 215management). Results uncovered that representatives had higher scores on complete maintenance techniques, the board/hierarchical methodologies, award and acknowledgment systems, worker advantage procedures, and worker thoughts and idea systems. Notwithstanding, no distinction was seen among Indian and MNCs on different maintenance systems. Ramifications of the examination have been featured as, view of the representatives over complete maintenance procedures was essentially higher than respondents from the board side and not many of the particular systems the executives/authoritative methodologies, award and acknowledgment techniques, worker advantage methodologies, and representative thoughts and idea methodologies workers had higher scores than the administration. The exploration discoveries of this investigation uncover that the representative assumptions are higher than authoritative hopes. Their proceeding with exertion and the simultaneous organization of all around incorporated and refined HRM foundations certify the idea that pay bundles, albeit significant, have restricted accomplishment in staff inspiration and maintenance. In total, while Western HRM rehearses are generally received in India in differing degrees, the country source of the particular MNC is as yet a significant factor that molded the stages to decide how a firm can deliberately encourage staff maintenance and improve representative hierarchical linkage. Cheryl Belbin (2011) researched worker maintenance by inspecting representative view of labor force maintenance methodologies to decide whether any parts of the technique affect representative turnover expectation. The test site for this examination was Queensland Health. The 3000 attendants focused on were from 63 destinations in 8 Health Service Districts
  • 2. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 233 Copyright © 2018. IJEMR. All Rights Reserved. inside the association. Review technique was picked. Three inspiration hypotheses were adjusted and applied to labor force maintenance systems to distinguish maintenance factors and these were remembered for a reasonable structure to test the connections. The study took a gander at consciousness of, investment in, and saw viability of, 28 labor force maintenance techniques offered by Queensland Health and how these might impact an employee’s aim to turnover. The connection between maintenance elements and turnover expectation was additionally researched, and segment factors were incorporated to decide whether they influenced the connection between maintenance variables and turnover aim. The study’s discoveries affirmed that of the partner of medical attendants studied, most knew about, and had partaken in, at least one of the labor force maintenance procedures recorded. The significant obstruction in the respondents‟ mindfulness was their absence of information on which labor force maintenance procedures were being offered, for the most part because of absence of advancement. The positioning of the viability of labor force maintenance techniques uncovered an inclination for those that gave a money related benefit, and less significantly, an expert improvement opportunity. The investigation likewise uncovered that there was a positive connection between maintenance factors and diminished turnover expectation. Further to these discoveries, various subjects arose reliably and firmly with respect to nurses‟ view of turnover aim. These included; absence of help, absence of authority, high responsibility, deficiency of staff, tormenting and no acknowledgment of the job. These outcomes have significant ramifications for functional upgrades in Queensland Health. The discoveries have set a strong establishment for additional examinations and extended exploration openings, while revealing a little insight into this intricate relationship. Sherjung Khadka (2011) investigates worker maintenance in the financial business of Nepal. The particular reason for the examination is to inspect and investigate the worker turnover, HR rehearses and their connection with representative maintenance; and systems for worker maintenance. Representative turnover is the serious issue of most associations. Elements like-pay and advantages, nature of work life, relationship with director or companion, after retirement benefits plan, work execution, and so on assume a critical part in representative turnover. The board ought to recognize these variables to make them sure or ideal and ought to apply fitting systems to hold workers. Recruiting practices, remuneration and advantages, professional stability, participative administration, preparing and advancement, development openings, and so on are the fundamental segments of HR rehearses which help to maintenance of representative. The association ought to perceive these segments and ought to apply appropriate methodologies to hold their key representatives. Further examination can explain different parts of the HR rehearses and their effect on hierarchical adequacy. III. RELIABILITY ANALYSIS The reliability of scales used in this study was calculated by Cronbach's coefficient alpha. Cronbach’s alpha reliability coefficient normally ranges between 0 and 1. However, there is actually no lower limit to the coefficient. The closer Cronbach’s alpha coefficient is to 1.0 the greater the internal consistency of the items in the scale. The coefficient alpha values exceeded the minimum standard of .70. It’s provided good estimates of internal consistency reliability. The formula is as follows: Where k is the number of items in the scale. r is the average correlation pairs of items. As the number of items in the scale (k) increase, the value of alpha becomes larger. If the inter-correlation between items is large, the corresponding alpha will also be larger. Table 1.1: Reliability for Factors Influencing Overall Job Satisfaction Level of Teachers S. No. Items Scale mean if item deleted Cronbach's alpha if item deleted 1 Overall condition of work environment 122.365 0.888 2 Working and functioning of the school policies 122.585 0.887 3 Interpersonal relationship between the teachers and management 122.755 0.887 4 Regulation policy and control provided by the administration 122.755 0.885 5 Frequent collaboration of colleagues as work groups 122.845 0.884 6 Social aspect of school settings 122.815 0.884 7 Management’s attitude towards teachers. 122.805 0.884 8 Training and orientation programmes provided by the management 122.685 0.886 9 Responsibilities given to teachers in the school 122.655 0.885 10 Effective participation in making students learn differently 122.695 0.892 11 Effective motivation of students to learn independently. 122.655 0.892 12 Level of autonomy given to the teachers 122.585 0.892 r k kr ) 1 ( 1    
  • 3. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 234 Copyright © 2018. IJEMR. All Rights Reserved. 13 Recognition in the form of appreciation awards 122.585 0.887 14 Basic needs provided by the school 122.605 0.887 15 Support from parents and community 122.365 0.888 16 Leave benefits provided at the right time by the school management. 122.585 0.887 17 House hold duties often interfere and disturb the school activities 122.755 0.887 MEAN 122.653 VARIANCE 164.29 STD. DEVIATION 13.89 CRONBACH'S ALPHA 0.819 NO. OF ITEMS 17 It reveals that all the seventeen measurement scale items are reliable as the Cronbach alpha coefficient of 0.819. It is greater than the threshold level of 0.70. It’s provided good estimates of internal consistency reliability and also coefficient alpha values ranged from 0.884 to 0.892 for all the constructs. It is indicating that the scales used in this study were reliable. It clearly indicates that above scale items are consistent with each other and they are reliable measure of factors related to factors influencing overall job satisfaction level of teachers, so that it can be used for next analysis. Dimensionality of the Multi-Scale Items (Factor Analysis) Factor Analysis is a set of technique which by analyzing correlations between variables reduces their numbers into fewer factors which explain much of the original data, more economically. Even though a subjective interpretation can result from a factor analysis output, the procedure often provides an insight into relevant psychographic variables, and results in economic use of data collection efforts. The subjective element of factor analysis is reduced by splitting the sample randomly into two and extracting factors separately from both parts. If similar factors result, the analysis is assumed as reliable or stable. Table 1.2: Kmo and Bartlett’s Test for Factors Influencing Overall Job Satisfaction Level of Teachers Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.743 Bartlett’s Test of Sphericity: Approx. Chi-Square 2542.12 Sig 0.000** S/NS S **P<0.001 *P<0.05 S-Significant From the above table 4.4.2 two tests namely, Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) and Bartlett’s Test of Sphericity have been applied to test whether the relationship among the variables has been significant or not. The Kaiser-Meyer- Olkin Measure of sampling adequacy shows the value of test statistics is 0.743, which means the factor analysis for the selected variable is found to be appropriate or good to the data. Bartlett’s test of sphericity is used to test whether the data are statistically significant or not with the value of test statistics and the associated significance level. It shows that there exists a high relationship among variables.
  • 4. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 235 Copyright © 2018. IJEMR. All Rights Reserved. Table 1.3: Communalities for Factors Relatedto Satisfaction Levels Regarding the Overall Job Satisfaction Level of Teachers S.NO. ITEMS Initial Extraction(h2 ) X1 Overall condition of work environment 1.000 0.774 X2 Working and functioning of the school policies 1.000 0.764 X3 Interpersonal relationship between the teachers and management 1.000 0.716 X4 Regulation policy and control provided by the administration 1.000 0.512 X5 Frequent collaboration of colleagues as work groups 1.000 0.584 X6 Social aspect of school settings 1.000 0.694 X7 Management’s attitude towards teachers. 1.000 0.751 X8 Training and orientation programmes provided by the management 1.000 0.696 X9 Responsibilities given to teachers in the school 1.000 0.511 X10 Effective participation in making students learn differently 1.000 0.743 X11 Effective motivation of students to learn independently. 1.000 0.743 X12 Level of autonomy given to the teachers 1.000 0.676 X13 Recognition in the form of appreciation awards 1.000 0.728 X14 Basic needs provided by the school 1.000 0.619 X15 Support from parents and community 1.000 0.663 X16 Leave benefits provided at the right time by the school management. 1.000 0.653 X17 House hold duties often interfere and disturb the school activities 1.000 0.605 The above table 1.3 (Communalities) represents the application of the Factor Extraction Process, it was performed by Principal Component Analysis to identify the number of factors to be extracted from the data and by specifying the most commonly used Varimax rotation method. In the principal component analysis, total variance in the data is considered. The proportion of the variance is explained by the seventeen factorsin each variable. The proportion of variance is explained by the common factors called communalities of the variance. Principal Component Analysis works on initial assumption that all the variance is common. Therefore, before extraction the communalities are all 1.000. Then the most common approach for determining the number of factors to retain i.e., examining Eigen values was done. Table 1.4: Rotated Component Matrix Forfactors Reated to Satisfaction Levels Regarding the Overall Job Satisfaction Level of Teachers Variable code Component I II III IV X7 .787 0.299 -0.041 0.045 X2 .732 -0.044 -0.468 -0.059 X12 .721 0.362 0.045 -0.036 X16 .659 0.385 0.364 0.219 X9 .642 0.427 0.414 0.160 X3 .378 .754 0.190 0.140 X10 .156 .735 -0.544 -0.153 X14 .166 .701 .119 -.096 X6 .458 .695 -.035 .059 X8 .029 .201 .701 .197 X4 .412 .325 .695 -.283 X5 0.204 .223 .683 0.229 X11 -0.077 .235 .624 -0.177 X1 -0.099 .256 .236 .556 X17 -0.096 .149 .128 .543 X15 .143 .090 .259 .741 X13 .157 .315 .483 .695 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Rotation converged in 8 iterations.
  • 5. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 236 Copyright © 2018. IJEMR. All Rights Reserved. Table 1.4 represents the Rotated Component Matrix, which is an important output of principal component analysis. The coefficients are the factor loadings which represents the correlation between the factors and seventeen variables (X1 to X17). From the above factor matrix it is found that coefficients for factor-I have high correlation with X7,x2,X12,X16, and X9 which is Management’s attitude towards teachers,Working and functioning of the school policies, Level of autonomy given to the teachers, Leave benefits provided at the right time by the school management and Responsibilities given to teachers in the school. It is evident that factor II have absolute correlation with 4 variables namely X3,X10,X14, and X6 which isInterpersonal relationship between the teachers and management, Effective participation in making students learn differently, Basic needs provided by the school and Leave benefits provided at the right time by the school management. This is also observed from the analysis that there are 4 variables contributing to factor III namely X8,X4,X5,X11, which isTraining and orientation programmes provided by the management, Regulation policy and control provided by the administration, Frequent collaboration of colleagues as work groups and Effective motivation of students to learn independently. Finally there are 4variables contributing variation in Factor IV which includes X1,X17,X15, and X13 which is Overall condition of work environment,House hold duties often interfere and disturb the school activities, Support from parents and community, Recognition in the form of appreciation awards respectively. IV. CONCLUSION It is evident form the analysis that Management’s attitude towards teachers, Working and functioning of the school policies, Level of autonomy given to the teachers, Leave benefits provided at the right time by the school management and Responsibilities given to teachers in the school are the primary factors influencing the job satisfaction level of teachers in erode district. REFERENCES [1] Ali. N. (2005). Factors affecting overall Job Satisfaction and Turnover Intention. Journal of Managerial Sciences, 2(2), 240-253. [2] Ananthan. B.R & Rao L N.S. (2011). Multitier view of employee retention strategies in Indian and global companies- A critical appraisal. International Journal of Research in Commerce & Management, 2(9). [3] Ananthan. B.R & Rao. L.N.S. (2011). Dynamics of retention: Practices and strategies 5SCMS. Journal of Indian Management, 120. [4] Priyadarshi, P. (2011). Employer brand image as predictor of employee satisfaction, affective commitment & turnover. Indian Journal of Industrial Relations, 46(3), 510. [5] Ramlall. S. (2003). Managing employee retention as a strategy for increasing organizational competitiveness. Applied H.R.M., 8(2), 63-72. [6] Ranjan, R. (2013). Employee turnover and retention strategies in non-profit organizations in India: An empirical study. For the thesis submitted for the award of PhD in Business Administration in department of business administration, faculty of management studies & research Aligarh Muslim University, Aligarh.