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使用心理测量网络方法开发和验证一种新的工作烦恼测量方法。

Development and Validation of a New Measure of Work Annoyance Using a Psychometric Network Approach.

机构信息

Postgraduate School of Occupational Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.

Department of Woman, Child & Public Health Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.

出版信息

Int J Environ Res Public Health. 2022 Jul 30;19(15):9376. doi: 10.3390/ijerph19159376.

DOI:10.3390/ijerph19159376
PMID:35954733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9368152/
Abstract

Existing measures of the impact of job characteristics on workers' well-being do not directly assess the extent to which such characteristics (e.g., opportunity to learn new skills) are perceived as positive or negative. We developed a measure, the Work Annoyance Scale (WAS), of the level of annoyance that workers feel about certain aspects of the job and evaluated its psychometric properties. Using archival data from two cohorts ( = 2226 and 655) of workers that had undergone an annual medical examination for occupational hazard, we show the usefulness of the network psychometric approach to scale validation and its similarities and differences from a traditional factor analytic approach. The results revealed a two-dimensional structure (working conditions and cognitive demands) that was replicable across cohorts and bootstrapped samples. The two dimensions had adequate structural consistency and discriminant validity with respect to other questionnaires commonly used in organizational assessment, and showed a consistent pattern of association with relevant background variables. Despite the need for more extensive tests of its content and construct validity in light of the organizational changes due to the COVID-19 pandemic and of an evaluation of the generalizability of the results to cultural contexts different from the Italian one, the WAS appears as a psychometrically sound tool for assessment and research in organizational contexts.

摘要

现有的工作特征对工人幸福感影响的衡量标准并不能直接评估这些特征(例如,学习新技能的机会)被认为是积极的还是消极的。我们开发了一种衡量工人对工作某些方面感到烦恼程度的工具,即工作烦恼量表(WAS),并评估了其心理测量学特性。利用两个队列(= 2226 和 655)的档案数据,这些队列的工人接受了年度职业危害体检,我们展示了网络心理测量方法在量表验证方面的有效性,以及它与传统因素分析方法的相似之处和不同之处。结果显示了一种在两个队列和自举样本中都具有可重复性的二维结构(工作条件和认知需求)。这两个维度在与组织评估中常用的其他问卷有关的结构一致性和判别有效性方面具有足够的一致性,并且与相关背景变量表现出一致的关联模式。尽管需要根据 COVID-19 大流行导致的组织变化以及评估结果对与意大利不同的文化背景的普遍性,对其内容和结构有效性进行更广泛的测试,但 WAS 似乎是组织环境中评估和研究的一种心理测量学上可靠的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/5fd304f71a84/ijerph-19-09376-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/06ad61e0db41/ijerph-19-09376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/607941534244/ijerph-19-09376-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/0c098d560830/ijerph-19-09376-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/e93e52505075/ijerph-19-09376-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/fb10e1efceaf/ijerph-19-09376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/5fd304f71a84/ijerph-19-09376-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/06ad61e0db41/ijerph-19-09376-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/607941534244/ijerph-19-09376-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/0c098d560830/ijerph-19-09376-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/e93e52505075/ijerph-19-09376-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/fb10e1efceaf/ijerph-19-09376-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce28/9368152/5fd304f71a84/ijerph-19-09376-g006.jpg

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