Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

Esmaeil Zarei; Azim Karimi; Ehsanollah Habibi; Abdullah Barkhordari; Genserik Reniers

doi:10.1016/j.ssci.2020.105146

Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

Esmaeil Zarei
, Azim Karimi
, Ehsanollah Habibi
, Abdullah Barkhordari
, Genserik Reniers

Integrity and Safety Engineering (C-RISE)
Centre for Risk, Integrity and Safety Engineering
School of Public Health
Isfahan University of Medical Sciences
Delft University of Technology

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	105146
Journal	Safety Science
Volume	136
DOIs	https://doi.org/10.1016/j.ssci.2020.105146
State	Published - Apr 2021
Externally published	Yes

ASJC Scopus Subject Areas

Safety, Risk, Reliability and Quality
Safety Research
Public Health, Environmental and Occupational Health

Keywords

Causation modeling
Dynamic hybrid Bayesian networks
Incident management
Occupational accidents
Organization factors

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10.1016/j.ssci.2020.105146

Cite this

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title = "Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study",

keywords = "Causation modeling, Dynamic hybrid Bayesian networks, Incident management, Occupational accidents, Organization factors",

author = "Esmaeil Zarei and Azim Karimi and Ehsanollah Habibi and Abdullah Barkhordari and Genserik Reniers",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2021",

month = apr,

doi = "10.1016/j.ssci.2020.105146",

language = "English",

volume = "136",

journal = "Safety Science",

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TY - JOUR

T1 - Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis

T2 - An in-depth psychometrics study

AU - Zarei, Esmaeil

AU - Karimi, Azim

AU - Habibi, Ehsanollah

AU - Barkhordari, Abdullah

AU - Reniers, Genserik

PY - 2021/4

Y1 - 2021/4

KW - Causation modeling

KW - Dynamic hybrid Bayesian networks

KW - Incident management

KW - Occupational accidents

KW - Organization factors

UR - https://www.scopus.com/pages/publications/85099194431

UR - https://www.scopus.com/pages/publications/85099194431#tab=citedBy

U2 - 10.1016/j.ssci.2020.105146

DO - 10.1016/j.ssci.2020.105146

M3 - Article

AN - SCOPUS:85099194431

SN - 0925-7535

VL - 136

JO - Safety Science

JF - Safety Science

M1 - 105146

ER -

Dynamic occupational accidents modeling using dynamic hybrid Bayesian confirmatory factor analysis: An in-depth psychometrics study

ASJC Scopus Subject Areas

Keywords

Access to Document

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