Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale
© 2018 Elsevier Ltd Despite a downward trend in injury rates in UK workplaces, accident occurrence remains an on-going issue for the rail workforce. Results from the RSSB annual survey reveal that there were 164 major injuries in 2016/17. Safety climate is defined as “shared perceptions with regard...
| Main Authors: | , , , |
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| Format: | Journal Article |
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Elsevier BV
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/69110 |
| _version_ | 1848761970577113088 |
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| author | Curcuruto, M. Griffin, Mark Kandola, R. Morgan, J. |
| author_facet | Curcuruto, M. Griffin, Mark Kandola, R. Morgan, J. |
| author_sort | Curcuruto, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Elsevier Ltd Despite a downward trend in injury rates in UK workplaces, accident occurrence remains an on-going issue for the rail workforce. Results from the RSSB annual survey reveal that there were 164 major injuries in 2016/17. Safety climate is defined as “shared perceptions with regard to safety policies, procedures and practices.” Many studies have examined the positive effects of safety climate on safety performances by individuals, teams, organizations. Despite widespread attempts to measure safety climate, the validity of measurement tools has not been systematically tested in the rail industry. The primary goal of our research was to validate Zohar and Luria's (2005) Multilevel Safety Climate Scale in a sample of rail infrastructure workers (N = 528). A cross-validation strategy was adopted. Half of the data were used to conduct exploratory factor analysis (EFA), with the remaining data submitted to confirmative factor analysis (CFA). The statistical results reveal a three-factor structure with organizational safety climate (OSC), supervisor safety communication (SSC), supervisor safety monitoring (SSM). A nomological analysis showed that SSC and SSM presented distinct correlation patterns with other measures of relevance for safety, risk and health management. SSM was found more strongly related with variables such as: safety priorities; safety systems; reporting attitudes; safety compliance. On the other hand, SSC was mainly related with measures refereed to distinct forms of organizational support: supervisor support; peer support; support to change. Overall, our findings showed the validity of a multidimensional approach on the study of safety climate and safety supervision in the rail industry. |
| first_indexed | 2025-11-14T10:40:08Z |
| format | Journal Article |
| id | curtin-20.500.11937-69110 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:40:08Z |
| publishDate | 2018 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-691102018-06-29T12:35:37Z Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale Curcuruto, M. Griffin, Mark Kandola, R. Morgan, J. © 2018 Elsevier Ltd Despite a downward trend in injury rates in UK workplaces, accident occurrence remains an on-going issue for the rail workforce. Results from the RSSB annual survey reveal that there were 164 major injuries in 2016/17. Safety climate is defined as “shared perceptions with regard to safety policies, procedures and practices.” Many studies have examined the positive effects of safety climate on safety performances by individuals, teams, organizations. Despite widespread attempts to measure safety climate, the validity of measurement tools has not been systematically tested in the rail industry. The primary goal of our research was to validate Zohar and Luria's (2005) Multilevel Safety Climate Scale in a sample of rail infrastructure workers (N = 528). A cross-validation strategy was adopted. Half of the data were used to conduct exploratory factor analysis (EFA), with the remaining data submitted to confirmative factor analysis (CFA). The statistical results reveal a three-factor structure with organizational safety climate (OSC), supervisor safety communication (SSC), supervisor safety monitoring (SSM). A nomological analysis showed that SSC and SSM presented distinct correlation patterns with other measures of relevance for safety, risk and health management. SSM was found more strongly related with variables such as: safety priorities; safety systems; reporting attitudes; safety compliance. On the other hand, SSC was mainly related with measures refereed to distinct forms of organizational support: supervisor support; peer support; support to change. Overall, our findings showed the validity of a multidimensional approach on the study of safety climate and safety supervision in the rail industry. 2018 Journal Article http://hdl.handle.net/20.500.11937/69110 10.1016/j.ssci.2018.02.008 Elsevier BV restricted |
| spellingShingle | Curcuruto, M. Griffin, Mark Kandola, R. Morgan, J. Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title | Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title_full | Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title_fullStr | Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title_full_unstemmed | Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title_short | Multilevel safety climate in the UK rail industry: A cross validation of the Zohar and Luria MSC scale |
| title_sort | multilevel safety climate in the uk rail industry: a cross validation of the zohar and luria msc scale |
| url | http://hdl.handle.net/20.500.11937/69110 |