International Journal of Engineering Trends and Technology(IJETT) – Volume 17 Number 7– Nov 2014
Management Standards and Occupational Stress
Symptoms
Unnikrishnan H#1, R Mahesh Rengaraj*2
M tech Student 1, Associate Professor2
Production and Industrial Engineering, SCMS School of Engineering and Technology, Karukutty, Kerala
Abstract— A large number of Workers are suffering
II.
LITERATURE REVIEW
from different kinds of stress factors. Tackling stress
The good management of occupational stress is known
factors not only help employees to reduce stress but
as ‘management Standards’
also its symptoms by which we can improve their
tackling work-related Stress.
Health. A better way for reducing occupational stress
[1]
.The main guide line for
A. Demand: Work load or needs of the organisation
is by using MS tools. By constantly monitoring there
that has to satisfied [1] .
cause Stress can be reduced to some extended. This
B. Control: The way people do their work in order
research finds the relation between the MS standard
to achieve satisfaction [1] .
and Stress related symptoms. Structural equation
C. Support: The help and encouragement from the
modelling is used to validate the model.
organisational environment [1].
D. Relationship at work: Avoiding conflicts to
Keywords— Demand, Role, Behavioural factors.
I.
create better working environment [1] .
E. Role: what role does a worker has to do while at
INTRODUCTION
work and to avoid conflict role [1].
Stress is a common name in many industries. The Main
F. Change:
difficulties for industries are finding their cause. The
the society. Tackling stress and its symptoms requires
organizational
changes
are
informed to the workers [1].
impact of stress is severe in some case or it may be
traumatic. The stress makes a person a weaker part of
How
III.
MANAGEMENT STANDARDS AND STRESS
RELATED SYMPTOMS
knowing how to handle its cause and effects. Most of the
WORK RELATED
STRESS
SYMPTOMS
Analysis of stress in done through Field surveys. The
main outcomes of stress will be in the from change in
attitude or Behaviour. For some of them it will be affect
physically and for others it may be mentally. Lacks of
PHYSICAL
PSYCHOLOGICAL
BEHAVIOURAL
concentration, loss of interest while at work are the main
concern. In the coming section we will find how we find
Fig 1.1 Stress Symptoms
stress factors using survey and its cause using 5 point
likert scale.
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International Journal of Engineering Trends and Technology(IJETT) – Volume 17 Number 7– Nov 2014
Table 1.2 Item-Total Statistics
The management standards and work related symptoms
can predict stress to much extend. The relation between
them shows the intensity of stress. The main symptoms
Scale Mean
Scale Variance
Corrected
Cronbach's Alpha if
if Item
if Item Deleted
Item-Total
Item Deleted
Deleted
Correlation
of stress are Psychological, Behavioural and Physical
DEMAND
134.62
267.814
.801
.688
refer fig1.1. These factors are collected by conducting
CONTROL
196.10
900.111
.379
.683
survey on the required sample size. The management
MANAGERIALSUPP
181.52
870.131
.332
.680
ROLE
182.74
859.406
.405
.672
CHANGE
205.89
870.200
.484
.670
PHYSICAL
201.28
852.507
.470
.665
PSYCHOLOGICAL
200.33
762.728
.680
.621
BEHAVIOURAL
199.30
812.596
.503
.652
standards were developed by Health and safety
executives to help reduce the levels of work related
stress[1].
IV.
METHODOLOGY
The methodology includes the following procedure [6].
The above Table1.2 shows the Item – Total Statistics .If
A. Defining the problem
any of the factors is not considered the reliability of the
B. Review of literature
scale will be affected accordingly.
VI.
C. Hypothesis
CORRELATION ANALYSIS
D. Collecting data through Survey
The correlation analysis shows the strength of relation
E. Analyse and interpretation.
between the variables.
Table 1.3 Correlation between Demand and Stress factors
The survey was done through direct interview in a 5
point likert scale. The data was analysed using spss
PHYSICA
PSYCHOLOG
BEHAVIOUR
software. Analysing methods like descriptive statics and
L
ICAL
AL
Pearson Correlation
reliability statics were done to see the consistency in the
data. Relation between the variables was estimated using
DEMAND
correlation analyses.
V.
RELABILTY STATISTICS
CONTROL
Cronbach’s alpha estimates the consistency in the data .
this help us finding the consistency the greater alpha
**
.466
**
.719
**
.509
Sig. (2-tailed)
.000
.000
.000
N
100
100
100
Pearson Correlation
.026
.127
-.023
Sig. (2-tailed)
.794
.209
.823
N
100
100
100
-.029
.018
-.027
Sig. (2-tailed)
.771
.857
.793
N
100
100
100
Pearson Correlation
.146
.181
.066
Sig. (2-tailed)
.147
.071
.513
Pearson Correlation
MANAGERIALSUP
value indicates the more its reliable . In the present case
PORT
the alpha value was 0.71 which is the better case.
ROLE
Table 1.1 Cronbach’s alpha value
CHANGE
N
100
100
100
Pearson Correlation
.073
.099
.049
Sig. (2-tailed)
.473
.326
.632
N
100
100
100
**. Correlation is significant at the 0.01 level (2-tailed).
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International Journal of Engineering Trends and Technology(IJETT) – Volume 17 Number 7– Nov 2014
Table 1.4 Baseline Comparisons
Demand and psychological have a correlation of 0.719,
while Demand and behavioural have a correlation of
Model
only 0.510. Both correlations are positive. Demand and
Psychological symptoms show a strong positive
relationship
which
means
if
demand
increases
NFI
RFI
Delta1
rho1 Delta2 rho2
Default .984
IFI
.948
TLI
.998
.993
CFI
.998
model
psychological symptoms also increases. Demand and
Behavioural symptoms show strong positive relationship.
Table 1.5 RMSEA
Demand and Physical symptoms show medium positive
Model
relationship.
VII.
RMSEA LO
SPSS STRUCTURAL EQUATION MODELING
Here the occupational stress is the unobserved
variable and other factors like demand, role, physical,
psychological and behavioural determine the unobserved
HI
90
90
PCLOSE
Default model
.037
.000
.178
.439
Independence
.459
.407
.513
.000
model
variable. The next step is to build the model. In the text
output we need to look at two tabs for determining
For CFI, Required values > .95
model fit: Notes for the Model .This has the Chi Square
For TLI, Required values > .90
statistic Model Fit .This has the CFI, TLI, and RMSEA.
For RMSEA, Required values < .08
Since in our model the CFI , TLI, RMSEA satisfy the
prescribed conditions our model fits the assumption.
VIII.
CONCLUSION
The finding of our study is that the HSE MS Indicator
Tool is positively associated with stress symptoms.
Demand showing strong relation with psychological
symptoms. Reliability analysis was done to see the
internal consistency in the scale the cronbach alpha was
0.7 which indicates strong consistency in the scale. The
correlation analysis showed strong positive relation
between demand with psychological and behavioural
factors.
REFERENCES
[1] Robert Kerr, Marie McHugh and Mark McCrory , HSE
Management Standards and stress-related work outcomes.
[2] Colin j. mackayw, Rosanna cousins, Peter j. kelly, Steve
Fig 1.2 SPSS structural equation modelling
lee and Ron h. mccaig’ Management standards’ and workrelated stress in the uk: policy background and science.
[3] Main C, Glozier N, Wright I. Validity of the HSE stress
ISSN: 2231-5381
http://www.ijettjournal.org
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International Journal of Engineering Trends and Technology(IJETT) – Volume 17 Number 7– Nov 2014
tool: an investigation within four organizations by the
Corporate Health and Performance Group.
[4] Job stress: causes, impact and interventions in the health
and community services sector.
[5] Warr PB. The measurement of well-being and other a
aspects of mental health. J Occup Psychol (1990).
[6] Research Methodology, C.R Kothari., New Age
International Publication.
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