Title
Assessing the statistical properties and underlying model structure of fifteen safety constructs
Author
van Kampen, J.
van der Beek, D.
Steijn, W.
Groeneweg, J.
Guldenmund, F.
Publication year
2017
Abstract
Background. Organisations spend a considerable amount of time and effort on diagnosing and analysing risks within their organisation. In the area of occupational and process safety, a myriad of employee survey instruments is available. Many studies show that operational processes play an important role in an organisations overall safety. Yet, so far safety surveys mainly focus on safety measures or operational safety processes. A flexible instrument was developed with which a wide variety of constructs, from different disciplines, can be measured in a consistent and practical way. The resulting survey distinguishes itself from existing safety surveys by extending the scope with the operational processes which are also referred to as the ‘Core Business’. Study. This study reports on the development of a catalogue of constructs which were derived from scientific literature and practice. Each of these constructs has been developed with a view towards measurability in an employee survey. The reliability and validity for fifteen of these constructs was assessed. Five separate projects have been conducted within a range of organisations operating as high risk industries. Results. Construct validity and the dimensional structure of the instrument have been established through exploratory factor analysis and confirmed through confirmatory factor analysis. Diverse aspects derived from motivational and ergonomic approaches to safety proved to be distinguishable in this analysis. Conclusion. The described instrument allows the mapping and quantification of various aspects of the operational process that are, based on existing knowledge, related to the occurrence of incidents.
Subject
Safety survey
Statistical modelling
Workplace conditions
Factor analysis
Multivariant analysis
Safety engineering
Safety factor
Societies and institutions
Statistical methods
Surveys
Confirmatory factor analysis
Exploratory factor analysis
Instrument development
Reliability and validity
Safety climate
Statistical modelling
Statistical properties
Workplace conditions
Occupational risks
construct validity
controlled study
employee
ergonomics
exploratory factor analysis
human
information processing
instrument validation
motivation
occupational safety
organization and management
questionnaire
reliability
risk assessment
statistical analysis
statistical model
2016 Urban Mobility & Environment
SUMS - Sustainable Urban Mobility and Safety
To reference this document use:
http://resolver.tudelft.nl/uuid:bdd3abbb-72b9-4415-ba90-2e2d37cfa097
DOI
https://doi.org/10.1016/j.ssci.2016.10.018
TNO identifier
954871
Source
Safety Science, 94 (94), 208-218
Document type
article