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persuasiveness; expertise in building and leading
teams.
Reuven Bar-On’s definition (1997) is another that
informs this paper as he addresses, “…noncognitive
capabilities, competencies, and skills that influence
one’s ability to succeed in with environmental de-
mands and pressures” (p. 14). Non-cognitive refers
to the “emotional, personal, and social components
of intelligent behavior” (Bar-On 1998, p. vii). These
capabilities appear to be particularly important given
the environmental variables inherent in maritime
management, and so are included as a consideration.
3 MEASURING AND PREDICTING EI
Consensus is also clearly lacking regarding availa-
bility of instruments that accurately predict demon-
stration of EI competencies. Three tests that are cur-
rently used with arguable claims of some success are
The Mayer-Salovey-Caruso Emotional Intelligence
Test (MSCEIT—MHS Multi-Health Systems), the
BarOn EQ-i (Bar-On 1997) and the Emotional
Competence Inventory--e.g., ECI360 (Hay Group
1999-2005). Because each test defines emotional in-
telligence differently—e.g. focusing in part or not on
personality traits, cognitive abilities, and/or other ar-
rays--users might not necessarily have just the one
test to meet their needs. Additionally, making com-
parisons of different test results is not feasible as
comparability is simply not possible: Some tests re-
sults are based on self-reporting models (e.g., the
BarOn EQ-i); others incorporate observer input and
self-reporting (e.g., the ECI360), and so on.
Another concern, as with any instrument, in-
volves that of reliability and validity. Reliability—
does the instrument consistently measure over time
what it purports to measure? Construct validity—is
there evidence that the instrument measures what it
claims to measure? Construct validity claims are
frequently supported through triangulation, where
multiple instruments/observers corroborate findings.
This is problematic, however, in the case of EI in-
struments for reasons discussed earlier. Predictive
validity, or the degree to which the test is accurate in
forecasting on-the-job performance, is particularly
important to this paper. Nevertheless, it is one thing
to hypothetically score high (or low) in a test setting
for EI—particularly if by self-reporting methods
(versus impartial observers). It is quite another when
one factors in the work environment such as weath-
er, fear, terrorism, and a multitude of other variables
such as crew diversity—all of which have the poten-
tial to affect operationalization of predicted perfor-
mance. Crew diversity is a factor of life on ocean
going vessels, many of which bear foreign flags and
count on crews representing many nations, both de-
veloped and developing. Therefore, if we add cross-
cultural and national dimensions to measuring and
predicting EI as defined earlier, the challenges loom
even larger. Alternatively stated, history has proven
that results obtained in an “antiseptic” or closed sys-
tem will not necessarily translate in real world situa-
tions where the environment intervenes regularly.
An Internet search of the importance of EI to de-
cision making reveals over 26,000 cites illustrating
its value across industries. Therefore, if it were
available, predictive validity for EI would not be
uniquely important to maritime management. Yet,
the rationale to meet these needs in this particular
industry appears particularly impelling in a global
post 9/11 environment, which brings us to the sec-
tion that follows.
4 RATIONALE FOR STUDY: A MARITIME
PERSPECTIVE
…the prospect of a relationship between EI, leader-
ship and individual, group and organizational out-
comes is sufficiently compelling to attract the atten-
tion of researchers who will resolve the question and
move leadership theory and understanding of social
influence to its next stage (Brown and Moshavi
2005, p. 870).
In March of 2006, Pamela Turner, Assistant Sec-
retary for Legislative and Governmental Affairs of
the U.S. Department of Homeland Security, directed
a letter to Congress regarding the results of a project
that implemented the Crew Endurance Management
System (CEMS) on towing vessels. Crew endurance
is “the ability to maintain performance within safety
limits while enduring job-related physical, psycho-
logical and environmental challenges” (Crew Endur-
ance Management 2006). Management of the ele-
ments that heighten risk that leads to poor
performance and/or human failures is a goal of
CEMS. The report also included a description of the
resources that would be needed to implement the
CEMS on all U.S. flag-towing vessels (CEMS
Demonstration Project Report, 2006). While the re-
port’s main concern is to reduce marine casualties as
a result of stress and fatigue, the opening statements
of the report point to the imperative not only to find
predictive indicators for EI, but also for the mainte-
nance and development of EI competencies:
Numerous studies indicate that human factors
contribute to the vast majority of marine casualties.
Most of these human factors relate to cognitive
abilities such as situational awareness and situa-
tional assessment (p. 1).