The psychosocial risk factors scale: factorial validity and reliability analysis.

IF 1.8 4区 医学 Q3 ERGONOMICS
Carla Barros, Liliana Cunha, Alvaro Rocha, Pilar Baylina
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Abstract

Objectives. Assessing psychosocial risks in the workplace is essential for promoting employee well-being and occupational safety. This study validates the psychosocial risk factors scale (INSAT_ERPS), a comprehensive instrument developed to identify and measure diverse psychosocial risks in occupational settings. Methods. A cross-sectional study was conducted between February 2023 and May 2024 with 1739 Portuguese workers from various sectors. Data analysis included descriptive statistics, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Missing data were imputed using the expectation-maximization algorithm. EFA employed maximum likelihood extraction with oblimin rotation and Kaiser normalization, supported by a Bartlett Kaiser-Meyer-Olkin value of 0.961 (p < 0.001). Results. CFA confirmed the seven-factor structure identified in EFA, encompassing 44 items across key dimensions: 'Work Intensity', 'Working Hours', 'Autonomy and Initiative', 'Social Work Relations', 'Employment Relations', 'Emotional Demands', and 'Work Values'. The model demonstrated strong psychometric properties, with Cronbach's α ranging from 0.851 to 0.917. Factor loadings (0.422-0.911) indicated statistically significant and meaningful contributions to their respective dimensions. Conclusions. Despite minor cross-loadings, the factorial structure was robust, confirming the INSAT_ERPS as a valid and reliable tool for diagnosing and managing psychosocial risks in occupational health.

心理社会危险因素量表:析因效度与信度分析。
目标。评估工作场所的社会心理风险对于促进员工福祉和职业安全至关重要。本研究验证了社会心理风险因素量表(INSAT_ERPS),这是一种用于识别和测量职业环境中各种社会心理风险的综合工具。方法。在2023年2月至2024年5月期间,对来自不同部门的1739名葡萄牙工人进行了一项横断面研究。数据分析包括描述性统计、探索性因子分析(EFA)和验证性因子分析(CFA)。使用期望最大化算法对缺失数据进行输入。EFA采用oblimin旋转和Kaiser归一化的最大似然提取,Bartlett Kaiser- meyer - olkin值为0.961 (p)。CFA确认了在全民教育中确定的七因素结构,包括44个关键维度的项目:“工作强度”、“工作时间”、“自主性和主动性”、“社会工作关系”、“雇佣关系”、“情感需求”和“工作价值观”。该模型具有较强的心理测量特性,Cronbach’s α值在0.851 ~ 0.917之间。因子负荷(0.422-0.911)表明对各自维度的贡献具有统计学意义。结论。尽管有轻微的交叉负荷,但析因结构是稳健的,这证实了INSAT_ERPS是诊断和管理职业健康中的社会心理风险的有效和可靠的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
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