A mixed-methods approach to examining safety climate among truck drivers

Yimin He, Yueng Hsiang Huang, Jin Lee, Bailey Lytle, Ashan Senel Asmone, Yang Miang Goh

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The purpose of the current study was to use a mixed-methods approach to understanding safety climate and the strategies to improve safety climate among truck drivers. Using both survey (N = 7246) and interview (N = 18) responses provided by truck drivers regarding key safety climate items, the current study identified a number of positive and negative policies, procedures and practices that truck drivers perceived as the determinants of whether their organizations are committed to the promotion of safety at work. Item response theory (IRT) analyses were conducted to identify discrimination parameters indicating which safety climate items were most sensitive to the safety climate level. Discriminative items were identified at both the organization and group levels which can be used to evaluate safety climate and differentiate a high versus low safety climate across groups and organizations in the trucking industry. Based on our results, we also offer safety researchers and practitioners some recommendations on what and/or how to intervene with and promote organizational safety climate in the trucking industry.

Original languageEnglish (US)
Article number106458
JournalAccident Analysis and Prevention
Volume164
DOIs
StatePublished - Jan 2022

Keywords

  • Item response theory
  • Mixed-methods
  • Safety climate
  • Trucking industry

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Safety, Risk, Reliability and Quality
  • Public Health, Environmental and Occupational Health

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