This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and laten...This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and latent variables,could be used to facilitate researchers’understandings of the underlying constructs or hypothetical factors and their magnitude of effect that constitute a complex system.This enhanced understanding,in turn,can help emphasize the important factors to improve mine safety.The most commonly used techniques include the exploratory factor analysis(EFA),the confirmatory factor analysis(CFA)and the structural equation model with latent variables(SEM).A critical comparison of the three techniques regarding mine safety is provided.Possible applications of latent variable modeling in mining engineering are explored.In this scope,relevant research papers were reviewed.They suggest that the application of such methods could prove useful in mine accident and safety research.Application of latent variables analysis in cognitive work analysis was proposed to improve the understanding of human-work relationships in mining operations.展开更多
追踪研究当中,交叉滞后模型可以探究多变量之间往复式影响,潜增长模型可以探究个体增长趋势。对两类模型进行整合,例如同时关注往复式影响与个体增长趋势,同时可以定义测量误差、随机截距等变异成分,衍生出随机截距交叉滞后模型、特质−...追踪研究当中,交叉滞后模型可以探究多变量之间往复式影响,潜增长模型可以探究个体增长趋势。对两类模型进行整合,例如同时关注往复式影响与个体增长趋势,同时可以定义测量误差、随机截距等变异成分,衍生出随机截距交叉滞后模型、特质−状态−误差模型、自回归潜增长模型、结构化残差潜增长模型等。以交叉滞后模型和潜增长模型分别作为基础模型,从个体间/个体内变异分解的角度对上述各类模型梳理,整合出此类模型的分析框架,并拓展建立“因子结构化潜增长模型(factor latent curve model with structured reciprocals)”作为统合框架。通过实证研究(早期儿童的追踪研究−幼儿园版,ECLS-K),建立21049名儿童的阅读和数学能力的往复式影响与增长趋势。研究发现,分离了稳定特质的模型拟合最优。研究也对模型建模思路和模型选择提供了建议。展开更多
基金Natural Sciences and Engineering Research Council of Canada(NSERC)(ID:236482)for supporting this research
文摘This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and latent variables,could be used to facilitate researchers’understandings of the underlying constructs or hypothetical factors and their magnitude of effect that constitute a complex system.This enhanced understanding,in turn,can help emphasize the important factors to improve mine safety.The most commonly used techniques include the exploratory factor analysis(EFA),the confirmatory factor analysis(CFA)and the structural equation model with latent variables(SEM).A critical comparison of the three techniques regarding mine safety is provided.Possible applications of latent variable modeling in mining engineering are explored.In this scope,relevant research papers were reviewed.They suggest that the application of such methods could prove useful in mine accident and safety research.Application of latent variables analysis in cognitive work analysis was proposed to improve the understanding of human-work relationships in mining operations.
文摘追踪研究当中,交叉滞后模型可以探究多变量之间往复式影响,潜增长模型可以探究个体增长趋势。对两类模型进行整合,例如同时关注往复式影响与个体增长趋势,同时可以定义测量误差、随机截距等变异成分,衍生出随机截距交叉滞后模型、特质−状态−误差模型、自回归潜增长模型、结构化残差潜增长模型等。以交叉滞后模型和潜增长模型分别作为基础模型,从个体间/个体内变异分解的角度对上述各类模型梳理,整合出此类模型的分析框架,并拓展建立“因子结构化潜增长模型(factor latent curve model with structured reciprocals)”作为统合框架。通过实证研究(早期儿童的追踪研究−幼儿园版,ECLS-K),建立21049名儿童的阅读和数学能力的往复式影响与增长趋势。研究发现,分离了稳定特质的模型拟合最优。研究也对模型建模思路和模型选择提供了建议。
