Development and initial validation of an Aviation Safety Climate Scale

PROBLEM: A need was identified for a consistent set of safety climate factors to provide a basis for aviation industry benchmarking. METHOD: Six broad safety climate themes were identified from the literature and consultations with industry safety experts. Items representing each of the themes were prepared and administered to 940 Australian commercial pilots. RESULTS: Data from half of the sample (N=468) were used in an exploratory factor analysis that produced a 3-factor model of Management commitment and communication, Safety training and equipment, and Maintenance. A confirmatory factor analysis on the remaining half of the sample showed the 3-factor model to be an adequate fit to the data. DISCUSSION: The results of this study have produced a scale of safety climate for aviation that is both reliable and valid. IMPACT ON INDUSTRY: This study developed a tool to assess the level of perceived safety climate, specifically of pilots, but may also, with minor modifications, be used to assess other groups' perceptions of safety climate.     

An empirical investigation of safety climate in container terminal operators

INTRODUCTION: This study empirically evaluates the crucial dimensions of safety climate from a container terminal operator's perspective, specifically in the Port of Kaohsiung. METHOD: Seven safety climate dimensions are identified based on factor analysis: (a) supervisor safety, (b) job safety, (c) coworkers' safety, (d) safety management, (e) safety training, (f) safety rules and special safety training, and (g) job pressure. Cluster analysis is subsequently performed to form worker groups. Respondents are categorized into four groups on the basis of their factor scores in safety climate dimensions: (a) safety management oriented terminal operators, (b) safety training and management oriented terminal operators, (c) job safety and supervisor safety oriented terminal operators, and (d) coworkers' safety oriented terminal operators. RESULTS: Results indicate that safety training and management oriented terminal operators have the best safety performance, followed by safety management oriented terminal operators, job safety and supervisor safety oriented terminal operators, and coworkers' safety oriented terminal operators. Theoretical and practical implications of the research findings are discussed.     

Measuring safety climate in elderly homes

IntroductionProvision of a valid and reliable safety climate dimension brings enormous benefits to the elderly home sector. The aim of the present study was to make use of the safety climate instrument developed by OSHC to measure the safety perceptions of employees in elderly homes such that the factor structure of the safety climate dimensions of elderly homes could be explored.MethodIn 2010, surveys by mustering on site method were administered in 27 elderly homes that had participated in the "Hong Kong Safe and Healthy Residential Care Home Accreditation Scheme" organized by the Occupational Safety and Health Council.ResultsSix hundred and fifty-one surveys were returned with a response rate of 54.3%. To examine the factor structure of safety climate dimensions in our study, an exploratory factor analysis (EFA) using principal components analysis method was conducted to identify the underlying factors. The results of the modified seven-factor's safety climate structure extracted from 35 items better reflected the safety climate dimensions of elderly homes. The Cronbach alpha range for this study (0.655 to 0.851) indicated good internal consistency among the seven-factor structure. Responses from managerial level, supervisory and professional level, and front-line staff were analyzed to come up with the suggestion on effective ways of improving the safety culture of elderly homes. The overall results showed that managers generally gave positive responses in the factors evaluated, such as "management commitment and concern to safety," "perception of work risks and some contributory influences," "safety communication and awareness," and "safe working attitude and participation." Supervisors / professionals, and frontline level staff on the other hand, have less positive responses. The result of the lowest score in the factors - "perception of safety rules and procedures" underlined the importance of the relevance and practicability of safety rules and procedures.ConclusionThe modified OSHC safety climate tool provided better evidence of structural validity and reliability for use by elderly homes' decision makers as an indicator of employee perception of safety in their institution.Impact on industryThe findings and suggestions in the study provide useful information for the management, supervisors/professionals and frontline level staff to cultivate the safety culture in the elderly home sector. Most important, elderly homes can use the modified safety climate scale to identify problem areas in their safety culture and safety management practices and then target these for intervention.     

Multi-level safety climate associations with safety behaviors in the fire service

Introduction: Limited research associated with safety climate has been completed within the fire service. Given this dearth of information, the present study sought to identify a valid and reliable measure of safety climate at both the workgroup and organizational levels within the fire service. Methods: Researchers surveyed 994 firefighters in two large metropolitan fire departments. Preliminary analyses including psychometrics, confirmatory factor analyses, and shared perception analyses were completed. A linear mixed model analysis was then completed to assess the relationships between workgroup safety climate, organizational safety climate, and safety behaviors, including both safety compliance and safety citizenship behaviors. Results: Measures of safety climate at the workgroup (WGSC) and organizational levels (OSC) were derived. WGSC factors include supervisor support (α = 0.92), vertical cohesion (α = 0.89), and horizontal cohesion (α = 0.94). OSC factors include management commitment (α = 0.91), safety programs/policies (α = 0.89), perceived fairness (α = 0.86) and incident command (α = 0.90). Confirmatory factor analyses confirmed our multi-factor models were a good fit to the data. The linear mixed model analysis found that WGSC positively predicted safety compliance behavior (B = 0.13, p < .001) and safety citizenship behavior (B = 0.22, p < .001) and OSC positively predicted safety compliance behavior (B = 0.16, p < .001) and safety citizenship behavior (B = 0.15, p < .001). Conclusions: This work presents reliable and valid measures of both workgroup and organizational safety climate, which have positive relationships with safety behavior outcomes. Practical application: The measures, which were developed through an extensive multi-method process, provide a means for researchers and practitioners to assess safety climate in the fire service and provides guidance for future safety climate research, including informing intervention research, which could potentially bolster safety climate and enhance safety in the fire service.     

Development of the German version of the Hospital Survey on Patient Safety Culture: Dimensionality and psychometric properties

Despite the importance of safety climate assessment in healthcare, the psychometric properties of existing safety climate surveys have seldom been tested. We developed a German version of the HSOPSC and investigated its dimensionality and predictive validity. In adapting the survey we differentiated between the two management levels (hospital, unit) by duplicating dimensions of the HSOPSC. Based on a sample of n = 568, confirmatory and exploratory factor analyses (CFA, EFA) were applied. Relationships between safety climate and outcome variables were investigated by regression analyses. CFA did not replicate the proposed factor structure, supporting evidence from other European countries. EFAs revealed eight factors (instead of twelve proposed for the original instrument) and allowed for differentiating between management levels (hospital, unit). For physicians and nurses, different predictors were identified for overall safety climate perception. Further cross-cultural investigations of dimensionality are necessary for international comparisons of safety climate in healthcare. Our results highlight the importance of capturing the impact of different management levels, especially in large hospitals, and differences between professional groups in order to design interventions accordingly.     

What does safety commitment mean to leaders? A multi-method investigation

Introduction: Perceived management safety commitment as an aspect of safety climate or culture is a key influence on safety outcomes in organizations. What is unclear is how perceptions of management commitment are created by leaders. Method: To address this gap in the literature, we position safety commitment as a leadership construct viewed from the perspectives of the leaders who experience and demonstrate it. In this paper, an established multidimensional commitment framework is applied to leaders' safety commitment (consisting of affective, normative, and calculative commitment). Via an exploratory sequential mixed methods design combining interviews (n = 40) and surveys (n = 89), we investigate the applicability of this theoretical conceptualization to safety commitment. Results: The results indicate the multiple dimensions captured leaders' safety commitment well, safety commitment can be demonstrated via a range of behaviors, and the dimensions' association with behavioral demonstrations aligned with those of other types of commitment reported in the literature. Only affective safety commitment was consistently associated with demonstrations of safety commitment. The link between high levels of affective and normative safety commitment and demonstrations was more pronounced when participants perceived their company's safety climate more positively. Conclusions: Adopting a focus on leaders' experience of safety commitment offers opportunities for new research into the way in which safety commitment perceptions are shaped by leaders. Practical application: The findings can support leaders' reflection about their personal mindset around safety and support them in fostering strong safety climates and cultures. It further encourages organizations in creating work environments that in particular foster affective and normative safety commitments in leaders.     

建筑施工企业安全氛围量表初步开发—基于天津市建筑施工企业样本的研究

安全氛围是近年来安全领域关注的重要概念,对安全氛围的测量是其定量研究的基础。首先对国内外学者的研究成果进行了梳理,在此基础上,通过访谈获取的第一手资料,采用质性研究方法得到建筑施工企业安全氛围的初始量表。最后,通过412份有效问卷的定量分析确定了建筑施工企业安全氛围最终维度及测量量表,验证了量表的信度与效度。研究结果表明:建筑施工企业安全氛围具有二阶维度结构:管理者关注、监督者态度、工友行为影响、安全意识、安全沟通与参与,其中管理者关注包括管理者态度、安全规程、安全培训、工作环境4个子维度。     

安全氛围三“心”模型的构建与检验

把安全氛围定义为一种知觉特性;在勒温的场理论基础上,通过对影响员工安全绩效的环境因素中的行为进行分析,构建安全氛围的通用模型,其包括3个因素:安全管理承诺、员工安全卷入和组织安全沟通;通过问卷调查的方法收集某石油化工公司两个生产厂一线职工的353份有效数据,探索性因素分析和验证性因素分析以及相关分析的结果分别说明,"三因素"模型具有较好的结构效度和预测效度。通过对3个因素的进一步分析,结合实践,提出安全氛围的三"心"模型:领导关心、员工上心、上下一心。要获得安全水平的持续提高,需要3个方面的共同努力。     

The predictive validity of safety climate

PROBLEM: Safety professionals have increasingly turned their attention to social science for insight into the causation of industrial accidents. One social construct, safety climate, has been examined by several researchers [Cooper, M. D., & Phillips, R. A. (2004). Exploratory analysis of the safety climate and safety behavior relationship. Journal of Safety Research, 35(5), 497-512; Gillen, M., Baltz, D., Gassel, M., Kirsch, L., & Vacarro, D. (2002). Perceived safety climate, job Demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research, 33(1), 33-51; Neal, A., & Griffin, M. A. (2002). Safety climate and safety behaviour. Australian Journal of Management, 27, 66-76; Zohar, D. (2000). A group-level model of safety climate: Testing the effect of group climate on microaccidents in manufacturing jobs. Journal of Applied Psychology, 85(4), 587-596; Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628] who have documented its importance as a factor explaining the variation of safety-related outcomes (e.g., behavior, accidents). Researchers have developed instruments for measuring safety climate and have established some degree of psychometric reliability and validity. The problem, however, is that predictive validity has not been firmly established, which reduces the credibility of safety climate as a meaningful social construct. The research described in this article addresses this problem and provides additional support for safety climate as a viable construct and as a predictive indicator of safety-related outcomes. METHODS: This study used 292 employees at three locations of a heavy manufacturing organization to complete the 16 item Zohar Safety Climate Questionnaire (ZSCQ) [Zohar, D., & Luria, G. (2005). A multilevel model of safety climate: Cross-level relationships between organization and group-level climates. Journal of Applied Psychology, 90(4), 616-628]. In addition, safety behavior and accident experience data were collected for 5 months following the survey and were statistically analyzed (structural equation modeling, confirmatory factor analysis, exploratory factor analysis, etc.) to identify correlations, associations, internal consistency, and factorial structures. RESULTS: Results revealed that the ZSCQ: (a) was psychometrically reliable and valid, (b) served as an effective predictor of safety-related outcomes (behavior and accident experience), and (c) could be trimmed to an 11 item survey with little loss of explanatory power. IMPACT ON INDUSTRY: Practitioners and researchers can use the ZSCQ with reasonable certainty of the questionnaire's reliability and validity. This provides a solid foundation for the development of meaningful organizational interventions and/or continued research into social factors affecting industrial accident experience.     

Safety management system: Development and validation of a multidimensional scale

The literature has recognised that implementing a safety management system is the most efficient way of allocating resources for safety, since it not only improves working conditions, but also positively influences employees’ attitudes and behaviours with regards safety, consequently improving the safety climate. The safety climate and the safety management system are considered basic components of the firm's safety culture in various models. However, the literature has focused more on measuring the safety climate, while few studies have correctly tested the psychometric properties of the instruments used to measure how advanced the firm's safety management system is. This paper reviews the most important works on safety management, with the aim of developing a measurement scale operationalising the safety management system concept, and subsequently calculating its reliability and validity. For this purpose, exploratory factor analyses and confirmatory factor analyses are conducted, using structural equation models, on a sample of 455 Spanish companies. This scale provides organisations with a tool for evaluating their situation with regards safety management, as well as guidance about which areas they must improve if they wish to reduce occupational accidents.     

煤矿员工风险感知量表开发与应用*

为检验矿工风险感知水平,提升其对风险的认知和应对能力,基于文献分析和访谈研究提取矿工风险感知初始测量指标,并编制测量量表,通过对162份调查数据的项目分析、探索性因子分析,净化测量指标体系,并明确矿工风险感知的测量结构;然后采用AMOS21.0软件对226份调查数据进行验证性因子分析;最后采用描述性统计和差异性分析等方法对该量表进行具体应用。研究结果表明:所构建的矿工风险感知测量体系包含风险知识和态度、风险后果认知2个维度、10个测量指标;所编制的矿工风险感知测量量表具有较好的信度、内容效度、聚合效度和区分效度;本量表在不同年龄、学历、婚姻状况、工种和工作年限的矿工群体间具有普遍适用性。量表可为煤矿员工的风险感知水平测量提供可行工具。     

Towards a model of safety climate measurement.

In this study, a survey instrument was developed to measure safety climate. A review of the scientific literature as well as consultation with an expert panel was used to determine the survey's dimensions. Next, the survey was administered, first as a pilot study (n = 15) and then as a full scale study (n = 229), to employees of the City of Cincinnati Department of Public Works. The psychometric integrity of the survey was assessed according to validity, reliability and utility criteria. Results are presented and discussed.     

Safety climate dimensions,leader–member exchange,and organizational support as predictors of upward safety communication in a sample of rail industry workers

The freedom employees feel to communicate safety concerns with their supervisors, termed upward safety communication, has been shown to be related to adverse safety events (Hofmann and Morgeson, 1999). Research to date has demonstrated that good supervisor–employee relationships (leader–member exchange), a sense that the organization values an employee (perceived organizational support) and safety climate (including perceived management attitudes toward safety, job demands interfering with safety, and pressure from coworkers to behave safely) all contribute to employees’ comfort in bringing up safety issues with their supervisors. However, little is known about which specific dimensions of safety climate are most predictive of upward safety communication. Using a sample of 548 railway workers, we found that when all factors were considered simultaneously using dominance analysis, the dominant factor predicting upward safety communication was perceived management attitudes toward safety, followed by job demands interfering with safety and then leader–member exchange. Implications for research and practice are discussed.     

Developing and testing a measure for the ethical culture of organizations: the corporate ethical virtues model

Based on four interlocking empirical studies, this paper initially validates and refines the Corporate Ethical Virtues Model which formulates normative criteria for the ethical culture of organizations. The findings of an exploratory factor analysis provide support for the existence of eight unidimensional subscales: clarity, congruency of supervisors, congruency of management, feasibility, supportability, transparency, discussability, and sanctionability. The findings of a confirmatory factor analysis show that the overall fit of the model is quite high. Evidence of convergent and discriminant validity is also found. The resulting 58‐item self‐reporting questionnaire is a useful tool that can be used in future research and by managers in assessing the ethical culture of their organization. Copyright © 2008 John Wiley & Sons, Ltd.     

Development of a multilevel health and safety climate survey tool within a mining setting

IntroductionThis study aimed to design, implement and evaluate the reliability and validity of a multifactorial and multilevel health and safety climate survey (HSCS) tool with utility in the Australian mining setting.MethodsAn 84-item questionnaire was developed and pilot tested on a sample of 302 Australian miners across two open cut sites.ResultsA 67-item, 10 factor solution was obtained via exploratory factor analysis (EFA) representing prioritization and attitudes to health and safety across multiple domains and organizational levels. Each factor demonstrated a high level of internal reliability, and a series of ANOVAs determined a high level of consistency in responses across the workforce, and generally irrespective of age, experience or job category. Participants tended to hold favorable views of occupational health and safety (OH&S) climate at the management, supervisor, workgroup and individual level.ConclusionThe survey tool demonstrated reliability and validity for use within an open cut Australian mining setting and supports a multilevel, industry specific approach to OH&S climate. Findings suggested a need for mining companies to maintain high OH&S standards to minimize risks to employee health and safety. Future research is required to determine the ability of this measure to predict OH&S outcomes and its utility within other mine settings.Practical applicationsAs this tool integrates health and safety, it may have benefits for assessment, monitoring and evaluation in the industry, and improving the understanding of how health and safety climate interact at multiple levels to influence OH&S outcomes.     

Does company size matter? Validation of an integrative model of safety behavior across small and large construction companies

Introduction: Previous safety climate studies primarily focused on either large construction companies or the construction industry as a whole, while little is known about whether company size has significant effects on workers' understanding of safety climate measures and relationships between safety climate factors and safety behavior. Thus, this study aims to: (a) test the measurement equivalence (ME) of a safety climate measure across workers from small and large companies; (b) investigate if company size alters the causal structure of the integrative model developed by Guo, Yiu, and González (2016). Method: Data were collected from 253 construction workers in New Zealand using a safety climate measure. This study used multi-group confirmatory factor analyses (MCFA) to test the measurement equivalence of the safety climate measure and structure invariance of the integrative model. Results: Results indicate that workers from small and large companies understood the safety climate measure in a similar manner. In addition, it was suggested that company size does not change the causal structure and mediational processes of the integrative model. Conclusions: Both measurement equivalence of the safety climate measure and structural invariance of the integrative model were supported by this study. Practical applications: Findings of this study provided strong support for a meaningful use of the safety climate measure across construction companies in different sizes. Safety behavior promotion strategies designed based on the integrative model may be well suited for both large and small companies.     

Using a psychological contract of safety to predict safety climate on construction sites

Introduction: The fact that safety climate impacts safety behavior and delivers better safety outcomes is well established in construction. However, the way workers safety perception is inclined and developed is still unclear. Method: In this research, the influence of supervisors' developing safety climate and its impact on workers' safety behavior and their conceptualization of safety is explored through the lens of the ‘Psychological Contract’ (PC). More specifically, it is argued that ‘Psychological Contract of Safety’ (PCS) is a vital factor in explaining how workers attach meaning to a supervisor behavior. Extant research suggests: (a) safety climate is based on the perception of workers regarding safety; and (b) PCS is based on perceived mutual obligations between workers and supervisors. As a result, this research argues that if PCS or mutual obligations between workers and supervisors are fulfilled, then safety climate of the workers will be positively influenced. A model is presented depicting PCS as an alternative intervention in understanding how safety climate could be influenced and predicted by the level of fulfillment of mutual safety obligations. Using Structural Equation Modeling (SEM) the model of the PCS is validated with data collected from a mega-construction project in Australia. Results: The results suggest that to have a positive and strong safety climate, top-level managers must ensure that mutual safety obligations between supervisor and workers are fulfilled. This enables the PCS to be introduced as a new ‘predictor’ of safety climate. Practical applications: The novel outcome of the research could be considered as a management intervention to modify supervisors' behavior to produce better safety outcomes.     

Development of a new scale to measure subjective career success: A mixed‐methods study

Career success is a main focus of career scholars as well as organizational stakeholders. Historically, career success has been conceptualized and measured in an objective manner, mainly as salary, rank, or number of promotions. However, the changing nature of work has also necessitated a change in the way many employees view success, adding a more subjective component. Although there has been theoretical discussion and calls to develop a comprehensive measure of subjective career success, no contemporary comprehensive quantitative measure exists. The goal of this study was to create and validate a measure of subjective career success, titled the Subjective Career Success Inventory (SCSI). The SCSI includes 24 items that address subjective career success via eight dimensions. The scale was developed and validated through four phases of data collection, beginning with interviews and focus groups, followed by item sorting tasks, then item refinement through confirmatory factor analysis, and finally convergent and discriminant validity quantitative analysis. Theoretical and practical implications are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

Safety climate factors and its relationship with accidents and personal attributes in the chemical industry

Safety in the chemical industry is a major issue in a thickly populated country like India. The study was carried out to determine the safety climate factors in the chemical industry in Kerala, India. A survey using a questionnaire was conducted among 2536 employees in eight major accident hazard chemical industrial units in Kerala. The study population included workers and first line supervisors at the lowest end of the management. 75% of the data collected was subjected to principal component factor analysis with varimax rotation using SPSS program. This revealed 8 factors which together explained 52.15% of the total variance. Internal consistency (Cronbach Alpha) across items in each of the 8 factors and that of the total scale were found acceptable. The model was tested with the remaining data by running confirmatory factor analysis using the AMOS 4.0 structural equation modeling program and was found to produce a good fit. The safety climate scores calculated were found to have significant negative correlation with self-reported accident rates revealing good predictive validity. One way ANOVA results show that companies’ mean safety climate scores differ significantly from each other indicating that organizations have different safety climate levels. Tests were also conducted to find out the effects of qualification, age, job category and experience of respondents on their perceptions and attitudes about safety.