Zheng Yonglin, Cheung Francis, Luo Hongchen, Xu Heng, Li Chen, Wu Dan
School of Psychology, Shenzhen University, Nanhai Avenue 3688, Nanshan District, Shenzhen 518060, China.
Department of Psychology, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong.
J Occup Health. 2024 Jan 4;67(1). doi: 10.1093/joccuh/uiae074.
This study reports the development of the Job-Related Uncertainty Stress Scale for Platform Workers (JUSSPW) and examines its reliability and validity.
The research was conducted in 2 phases. In Study 1, item analysis and exploratory factor analysis were conducted on data from 343 platform riders (males: 321; females: 22; mean (SD) age: 27.03 (6.67) years) in Guangzhou, China. In Study 2, an additional 391 platform riders (males: 328; females: 63; mean (SD) age: 30.36 (4.49) years) were recruited. This phase involved conducting confirmatory factor analysis (CFA) and assessing criterion-related validity by using the Uncertainty Stress Scale (USS-4), Maslach Burnout Inventory (MBI), and Job Satisfaction Inventory (JSI).
The JUSSPW scale comprises 8 items under a unidimensional structure, covering 4 perspectives: work environment, interpersonal relationships, industry-specific characteristics, and personal development prospects; it explained 71.07% of the total variance. CFA results indicated that this 1-factor model provided a good fit (χ2/df = 2.681, Root Mean Square Error of Approximation (RMSEA) = 0.066, Comparative Fit Index (CFI) = 0.987, Incremental Fit Index (IFI) = 0.987, Goodness of Fit Index (GFI) = 0.964, Tucker-Lewis Index (TLI) = 0.982). This scale also demonstrated good convergent (Average Variance Extracted (AVE) = 0.668, Composite Reliability (CR) = 0.941) and criterion validity (area under the curve = 0.935). The total score of JUSSPW was significantly positively correlated with the USS-4 and Maslach Burnout Inventory-Emotional Exhaustion (MBI-EE) scores, and remarkably negatively correlated with the JSI scores. Cronbach α and split-half reliability were .939 and 0.935, respectively.
These results suggest that this scale shows good reliability and validity and can be used as a sound measure to capture platform workers' job-related uncertainty stress. Limitation and implications are discussed.
本研究报告了平台工作者工作相关不确定性压力量表（JUSSPW）的编制过程，并检验其信效度。
研究分两个阶段进行。在研究1中，对来自中国广州的343名平台骑手（男性：321名；女性：22名；平均（标准差）年龄：27.03（6.67）岁）的数据进行项目分析和探索性因素分析。在研究2中，又招募了391名平台骑手（男性：328名；女性：63名；平均（标准差）年龄：30.36（4.49）岁）。此阶段包括进行验证性因素分析（CFA），并使用不确定性压力量表（USS - 4）、马氏倦怠量表（MBI）和工作满意度量表（JSI）评估效标关联效度。
JUSSPW量表由8个项目组成，呈单维结构，涵盖4个维度：工作环境、人际关系、行业特定特征和个人发展前景；它解释了总方差的71.07%。CFA结果表明，该单因素模型拟合良好（χ2/df = 2.681，近似误差均方根（RMSEA）= 0.066，比较拟合指数（CFI）= 0.987，增值拟合指数（IFI）= 0.987，拟合优度指数（GFI）= 0.964，塔克 - 刘易斯指数（TLI）= 0.982）。该量表还显示出良好的聚合效度（平均提取方差（AVE）= 0.668，组合信度（CR）= 0.941）和效标效度（曲线下面积 = 0.935）。JUSSPW总分与USS - 4和马氏倦怠量表 - 情感耗竭（MBI - EE）得分显著正相关，与JSI得分显著负相关。克伦巴赫α系数和分半信度分别为0.939和0.935。
这些结果表明该量表具有良好的信效度，可作为测量平台工作者工作相关不确定性压力的有效工具。讨论了研究的局限性和意义。
