SPSS Analysis Report: Impact of Ramadan Fasting on Flight Crew Fatigue

This report presents an analysis of the impact of Ramadan fasting on flight crew fatigue, utilizing SPSS for data analysis. The study investigates crew perceptions of fatigue, identifying that most participants agree on experiencing fatigue, difficulty in practicing due to fasting, and challenges in maintaining alertness. Causal factors of fatigue were identified as morning duties and multiple sectors. The analysis also explores safety procedures followed by fasting crew members, revealing that most do not agree that fasting directly affects flight safety, but they employ various strategies to manage fatigue. Finally, the report assesses the effectiveness of Fatigue Risk Management Systems (FRMS), indicating that existing FRMS are perceived as not fully addressing fatigue issues, and this perception is not correlated to the addressment of fatigue in FRMS policies, highlighting areas for improvement in airline practices. The report uses descriptive statistics and correlation to support the findings and make recommendations.

Spss
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Results
The aim of conducting this investigation is to investigate the impact of fatigue caused by
Ramadan fasting on safety of flight crew. For investigating this aim, 4 objectives were devised
and they are analysed in this results section by using data science. This analysis will be done
using the software application of SPSS.
The first objective which is being analysed is to understand the perception of flight crew
about the fatigue which is caused due to fasting in Ramadan. For this analysis, 149 participants
were asked few questions and their responses are analysed by using descriptive analysis below:
Statistics
Feeli
ng of
fatigu
e
while
fastin
g
durin
g
flight.
It was
difficul
t to
mainta
in and
practic
e
fasting
during
flight.
Felt
hung
ry
while
fastin
g in
flight.
I had
less
energ
y
than
usual
while
fastin
g.
I had
difficul
ty to
stay
alert
during
flight.
Fastin
g
make
s the
tasks
more
difficu
lt.
Fastin
g
impact
my
decisio
n-
making
skills
in-
flight.
Fastin
g
affects
my
workin
g
memor
y.
Fasting
affects
my
mental
and
percept
ual
activity.
I felt
discourag
ed,
stressed
and tired,
and
difficulty
to
concentrat
e during
flight.
I
suffered
from
sleep
loss
during
Ramada
n.
N Valid 149 149 149 149 149 149 149 149 149 149 149
Missi
ng 0 0 0 0 0 0 0 0 0 0 0
Mean 2.40 2.62 2.81 2.24 2.78 2.79 2.83 3.06 2.89 2.99 2.50
Median 2.00 2.00 3.00 2.00 3.00 3.00 3.00 3.00 3.00 3.00 2.00
Mode 2 2 2 2 2 2 2 4 2 2a 2
Std.
Deviatio
n
1.089 1.056 .911 1.031 1.071 1.063 1.113 1.048 1.050 .986 1.113
Sum 357 391 419 334 414 415 421 456 430 445 373
a. Multiple modes exist. The smallest value is shown
The tool of descriptive statistics which is valuable in this analysis is Mode as it reflects
the response which is provided by maximum participants. The above table reflects that most
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participants agree that they feel fatigue during Ramadan, they find it difficult to practice due to
fasting, most crew members agree that they feel hungry and have less energy, they even find it
difficult to stay alert due to fatigue. Crew members also agree that fasting and fatigue impacts
their decision making ability, it affects their mental activity and they feel stressed and suffer
from sleep loss. The evidence of this result is the mode value in almost all questions which is 2
that represents their response as “agree”.
Another objective of this study is to understand the causal factors of fatigue. For this
objective, descriptive statistics of two questions are ascertained below using SPSS.
Statistics
What is the
more impact
during Ramadan
operation?
What area of
your Ramadan
operation
causes the most
concern for you
with respect to
fatigue?
N Valid 149 149
Missing 0 0
Mean 2.65 1.57
Median 3.00 1.00
Mode 3 1
Std. Deviation .735 .799
Sum 395 234
The above statistics table, provides mode value of 3 in first question which implies,
“multiple sectors” is the casual factor of fatigue during fasting. On the other hand, the mode of
second question is 1 implying Morning duty is a factor of fatigue. So, in order to summarise the
above results, it can be said that morning duty and multiple sectors are the casual factors of
fatigue on crew members.
Third objective for this study was to understand the safety procedures that are followed
by the crew members who has experienced fasting. For this analysis is undertaken as follows:
Statistics
Fasting is affecting the safety of
flight.
N Valid 149
3

Missing 0
Mean 2.98
Median 3.00
Mode 4
Std. Deviation 1.154
Sum 444
The above results table makes it clear that most people do not agree which the statement
that fasting is affecting the safety of flight but even then safety procedures followed by crew
faced fatigue includes they break their fasting, they keep their mind busy, they call fatigue, they
take rest, they challenge and respond and others.
The fourth and last objective of this study is to understand the effectiveness of fatigue
mitigation strategies on flight crew fasting. For which descriptive statistics and correlation is
used.
Statistics
Does your airline
have an
effective FRMS
in place?
Does your airline
FRMS address
how to manage
fatigue during
Ramadan
fasting?
N Valid 149 149
Missing 0 0
Mean 2.03 2.34
Median 2.00 2.00
Mode 2 3
Std. Deviation .707 .732
Sum 302 348
The above analysis shows that when participants were asked that whether their flight has
effective FRMS, they responded majorly Maybe as the mode of such question is 2. And then
when they were asked whether their airline FRMS address fatigue they denied and responded as
No as the mode of such question 3. This analysis implies that the FRMS in airlines is not
effective and such issues must be addressed. The below correlation table provides the
relationship of two above variables. The p value or significance value of such relationship is .35
which is higher than 0.05, kit implies that the responses of these questions are not related. This
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analysis further adds that the response of participants about having an effective FRMS is not
related to the addressment of fatigue in FRMS policies implying the results are highly reliable
and not biased.
Correlations
Does your airline
have an
effective FRMS
in place?
Does your airline
FRMS address
how to manage
fatigue during
Ramadan
fasting?
Does your airline have an
effective FRMS in place?
Pearson Correlation 1 .414**
Sig. (2-tailed) .000
N 149 149
Does your airline FRMS
address how to manage
fatigue during Ramadan
fasting?
Pearson Correlation .414** 1
Sig. (2-tailed) .000
N 149 149
**. Correlation is significant at the 0.01 level (2-tailed).
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