Developing leading indicators from OHS management audit data: Determining the measurement properties of audit data from the field
| Autor: | Sheilah Hogg-Johnson, Lynda S. Robson, Ivan A. Steenstra, Dwayne Van Eerd, Selahadin Ibrahim, Benjamin C. Amick |
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| Rok vydání: | 2017 |
| Předmět: |
Canada
0211 other engineering and technologies Audit evidence 02 engineering and technology Audit Audit plan computer.software_genre Performance audit Joint audit health services administration 021105 building & construction Humans 0501 psychology and cognitive sciences Information technology audit Workplace Safety Risk Reliability and Quality 050107 human factors Ontario Actuarial science 05 social sciences Reproducibility of Results Walk-through test Middle Aged Internal audit Workers' Compensation Management Audit Data mining Factor Analysis Statistical Psychology computer |
| Zdroj: | Journal of Safety Research. 61:93-103 |
| ISSN: | 0022-4375 |
| Popis: | Introduction OHS management audits are one means of obtaining data that may serve as leading indicators. The measurement properties of such data are therefore important. This study used data from Workwell audit program in Ontario, a Canadian province. The audit instrument consisted of 122 items related to 17 OHS management elements. The study sought answers regarding (a) the ability of audit-based scores to predict workers' compensation claims outcomes, (b) structural characteristics of the data in relation to the organization of the audit instrument, and (c) internal consistency of items within audit elements. Method The sample consisted of audit and claims data from 1240 unique firms that had completed one or two OHS management audits during 2007–2010. Predictors derived from the audit results were used in multivariable negative binomial regression modeling of workers' compensation claims outcomes. Confirmatory factor analyses were used to examine the instrument's structural characteristics. Kuder–Richardson coefficients of internal consistency were calculated for each audit element. Results The ability of audit scores to predict subsequent claims data could not be established. Factor analysis supported the audit instrument's element-based structure. KR-20 values were high (≥ 0.83). Conclusions The Workwell audit data display structural validity and high internal consistency, but not, to date, construct validity, since the audit scores are generally not predictive of subsequent firm claim experience. Audit scores should not be treated as leading indicators of workplace OHS performance without supporting empirical data. Practical applications Analyses of the measurement properties of audit data can inform decisionmakers about the operation of an audit program, possible future directions in audit instrument development, and the appropriate use of audit data. In particular, decision-makers should be cautious in their use of audit scores as leading indicators, in the absence of supporting empirical data. |
| Databáze: | OpenAIRE |
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