scholarly journals Maritime Pilots’ Risky Operational Behavior Analysis Based on Structural Equation Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tingliu Xu ◽  
Yingjie Xiao ◽  
Zhuohong Jiang

In this paper, a maritime pilots’ risky behaviour related factors questionnaire is designed to identify and quantify the factors of maritime pilots’ risky operational behaviour. And a questionnaire survey was conducted, which included four scales: risk-taking behavior, risk attitude, operational reliability, and risk perception. On this basis, the Structural Equation Model (SEM) of maritime pilots’ risky operational behavior is constructed to explore the internal relationship of the variable factors affecting maritime pilots’ operational behavior. The biggest influence on maritime pilots’ safety behavior is crowd psychology, which indicates that the maritime pilot’s mental health course, the psychological guidance course system, the psychological health consultation management, and safety training should be carried out regularly. Random evaluation and attention are significantly correlated with the risky cognition of maritime pilots. The results also explore that the maritime pilots’ risky behavior related factors questionnaire has a good structure, internal consistency, and validity in Chinese maritime pilots, and it is expected to be used for the Chinese maritime pilots’ subjective risky behavior self-evaluation. In addition, with empirical evidence for pilotage safety intervention in China, this measurement can also provide scheduling and management decision support for Chinese maritime pilot stations.

2022 ◽  
Vol 7 (1) ◽  
pp. 55-65
Author(s):  
Marcus A Henning ◽  
Vanamali Joseph ◽  
Roger J Booth ◽  
Christian U Krägeloh ◽  
Craig S Webster

Introduction: This study investigates psychological distress and quality of life (QoL) amongst first year premedical and health science students. The primary aim of this study was to investigate potential differences in QoL and psychological distress between students who sought entry into a medicine programme when compared to those opting for a non-medicine career. Methods: We examined participant responses to measures of QoL, psychological distress, and course preference (medicine or other). A structural equation model was conducted to consider the interrelationships among future course preference, gender, QoL, depression, anxiety and stress. Results: Three hundred and sixty-five students completed the online survey. An a priori conceptual model was developed and then evaluated using a structural equation model. The values obtained for RMSEA (0.027), CFI (0.999), and SRMR (0.016) indicated an excellent model fit. The overall model fit statistic, chi-square (χ2 = 7.626, df=6, p= .267), confirmed a good model fit. Students aiming to enrol in medicine generated higher psychological health and environmental QoL scores compared to their non-medicine oriented peers. In addition, physical QoL and psychological health QoL scores significantly predicted psychological distress measures. Conclusion: The study raises a potential debate regarding placing students with mixed career intentions into the same course and the potential implications this may have on teaching in interprofessional and large student groups in relation to wellbeing, pedagogy, equity, and expenditure. The findings clearly indicated that medical students are not as adversely impacted upon in terms of QoL and psychological distress compared with their non-medical peers.


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