作为职业健康预测因子的工作生活领域-两个德国样本的验证研究

Sarah S. Brom , Gabriele Buruck , Irén Horváth , Peter Richter , Michael P. Leiter
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引用次数: 50

摘要

背景/目的职业健康在很大程度上取决于员工的能力与工作场所需求/因素之间的感知契合度。工作生活领域量表(AWS)指定了与这方面特别相关的六个领域:工作量、控制、奖励、社区、公平和价值观。本研究旨在探讨《美国法典》德文译本的析因结构和标准效度。方法收集2个样本的数据。在研究1中,1455名公共服务人员接受了工作生活和幸福感六个方面的调查。在研究2中,为了研究AWS与职业倦怠之间的关系,我们对一名护理样本(N = 443)进行了问卷调查。结果两项研究均获得了较高的内部一致性。探索性和验证性因子分析复制了理论上假设的AWS的六个尺度结构。以幸福感为依赖测度的多元线性回归分析发现了标准效度的证据(研究1)。SEM分析支持了AWS六个维度与倦怠之间的假设关系(研究2)。正如Leiter和Maslach(2004)、Leiter和Maslach(2009)所预测的那样,只有一些领域与健康相关的结果(幸福感和倦怠)直接相关。与之前的研究一致,工作量和价值观被证明是工作生活中最关键的领域。结论:工作生活的六个方面已被证明是健康相关结果的重要预测因素。根据目前的研究,可以建议将《职业健康标准》的德文译本作为一种可靠和有效的工具,以确定和指定与职业健康有关的关键工作领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Areas of worklife as predictors of occupational health – A validation study in two German samples

Background/aim

Occupational health largely depends on the perceived fit between the employee's abilities and workplace demands/factors. The Areas of Worklife Scale (AWS) specifies six areas that are particularly relevant in this respect: workload, control, reward, community, fairness, and values. The current article aimed at investigating the factorial structure and the criterion validity of the German translation of the AWS.

Methods

Data were collected in two samples. In study 1, 1455 public service workers were surveyed using the six areas of worklife and well-being. In study 2, to investigate the well-established relationship between the AWS and burnout, the scale was administered to a nursing sample (N = 443).

Results

High internal consistencies for all six scales were obtained in both studies. Exploratory as well as confirmatory factor analysis replicated the theoretically assumed six scale structure of the AWS. Evidence of criterion validity was found by multiple linear regression analysis with well-being as dependent measure (study 1). SEM analyses supported the hypothesized relationships between the six AWS dimensions and burnout (study 2). As predicted by Leiter and Maslach, 2004, Leiter and Maslach, 2009, only some areas were directly associated with the health-related outcomes (well-being and burnout). In line with previous work, workload and values proved to be the most critical areas of worklife.

Conclusions

The six areas of worklife have been shown to be significant predictors of health-related outcomes. Based on the current studies, the German translation of the AWS can be proposed as a reliable and valid instrument to identify and specify critical work-related areas for occupational health.

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