97
Six hypotheses were framed of which, 5 were
based on the human factors of attitude, experience
and fatigue. The adequacy of training was checked
by content analysis of maritime training (engineer-
ing stream) syllabi with reference to STCW (Stand-
ards of Training, Certification and Watchkeeping)
and IMO Lesson Plans. The statistical tests were
chosen according to the nature of the data and the
type of hypothesis. Appropriate criteria were estab-
lished for acceptance or rejection of the hypotheses.
The tests and criteria for validating the assumptions
of the study are projected in Table 4 and Table 5.
Further inputs were obtained from trainers attached
to maritime institutes.
4 RESULTS AND DISCUSSION
The content analysis of the training syllabi and IMO
Lesson Plans showed no apparent lack of training.
The quantitative training appears to be sufficient
with 17 hours, which is well above the 15 hours in-
dicated in the IMO Lesson Plans in the post-sea sce-
nario. The hours of exposure to training on pollution
get enhanced if pre-sea quantum and the modular
courses were also considered. The other hypotheses
were verified by statistical tests, the results of which
are summarised in Table 6.
Tests of bad (negligent) attitude and good attitude
were conducted. While a deviation from normal, le-
gal oil pollution prevention practice was considered
as a bad attitude, conformance to rules was consid-
ered as good attitude. The sample population was
divided into 5 groups based on the levels of training
exposure and it was assumed that attitude differed
with the training exposure. Based on the ANOVA,
the next hypothesis, H
O2
is rejected with Sig. levels
being equal (0.05). Also, the post-hoc tests indicate a
decline of test scores for bad attitude with an in-
crease in number of training hours. However, tests
on good attitude showed no difference
(Sig.0.611>0.05) and post-hoc tests showed no vari-
ation in average scores. It may be well assumed that
existent good attitude does not enhance or diminish
with increase in training hours. Good attitude is
prevalent irrespective of the amount of training,
while bad attitude reduces with increased amount of
training. A parallel may be drawn with the attitude-
behaviour patterns being affected by knowledge
(Fabrigar et al, 2006). Increase in knowledge (train-
ing) does influence the attitude-behaviour.
The next hypothesis to be tested was to see if
training made a difference to the officers’ involve-
ment in pollution incidents. A similar test was done
for the human factor of experience assuming that in-
creased experience will reduce involvement. Assum-
ing increased training would mean increased experi-
ence, the involvements were tested with groups with
varying experience. With Sig. Ψ
2
= 1.00 > 0.05, it is
seen that increase in experience does not affect
(bring down) pollution violations. Though this vali-
dates the acceptance of H
O3
where training was the
factor, the relationship with experience was not test-
ed by framing a hypothesis. It was seen that a hy-
pothesis relating experience and involvements might
fall into Type I error (Rejection of the Null when
True). This is because an inference showing that in-
creased experience increases number of violations
might not be true, as the scope for pollution viola-
tion increases with increase in experience (work pe-
riod).
The next test was on experience and awareness.
Training on pollution matters is enhanced even after
the shipboard officer reaches high ranks. An in-
crease in experience exposes the officer to increased
training hours and hence the knowledge. Officer
sample was grouped into 7 varying levels of experi-
ence and it was assumed that experience would in-
crease knowledge of pollution awareness. Results of
H
O4
confirm this. With Sig. 0.576 > 0.05 but HOV
Sig. 0.013 < 0.05, H
O4
is rejected, leading to the in-
ference that increase in experience increases aware-
ness. This outcome is not similar to that of H
O1,
where groups of varying training hours were tested
for awareness. This syllogism leads to a conclusion
that quantitative training has the same intensity to all
the officers who undergo training, whereas, with
gain in experience the quality of the training gained
(knowledge) improves.
Experience and attitude measures were tested
next. Proceeding to next hypothesis, with Sig. 0.187
> 0.05, but HOV 0.037 < 0.05, H
O5
is rejected. The
scores for bad attitude tests show a decline with in-
crease in years of experience. Increase in experience
is seen to diminish bad attitude towards pollution
practices. Further tests of experience with good atti-
tude test scores showed no relationship (Sig.0.157 >
0.05) between them.
This is similar to the outcome of H
O2,
where in-
creased training diminished bad attitude but did not
affect good attitude. It may be inferred that increased
experience and training hours lessens the bad (negli-
gent) attitude towards pollution prevention practices
though existent good attitude does not enhance or
diminish with increased training and experience.
The last of the hypothesis, H
O6
was tested and the
factor of fatigue showed significant relationship to-
wards pollution prevention practices at α = 0.01 it-
self. With this, H
O6
is rejected. Here, it was assumed
that fatigue affected the shipboard operational prac-
tices particularly those pertaining to oil pollution
prevention. This is further supported by the survey
opinion shown in Figure 3, where a maximum num-
ber of respondents have identified fatigue as the ma-
jor factor causing difficulties in MARPOL (pollution