Data_Sheet_1_Measuring digital stress in Norway: translation and validation of the Digital Stressors Scale.PDF

IntroductionA better understanding of the effects of the widespread use of information and communication technology (ICT) among employees is important for maintaining their wellbeing, work-life balance, health, and productivity. Thus, having robust and reliable measurement instruments is crucial for quantifying the effects of ICT use, and facilitating the development of effective strategies to promote employee wellbeing.
MethodsTherefore, we translated the Digital Stressors Scale (DSS) to Norwegian and administered it to a convenience sample of 1,228 employees, using the forward-backward translation method. The DSS is a new multidimensional scale consisting of 50 items that measure 10 digital stressors (first-order factors), and a second-order factor of DSS. We assessed the scale's construct validity with confirmatory factor analysis, first by assessing the model fit of each of the sub-scales separately, to facilitate the disaggregated measurement approach, and then the model fit of the whole scale with the second-order factor.
ResultsAmong the participants, 45.6% completed the whole questionnaire (n = 560). The original solution's fit was unsatisfactory in our sample, which led us to perform an exploratory factor analysis. We propose a shorter 8-factor scale with 37 of the original items, which also shows good internal consistency for all the first-order factors.
DiscussionWe argue that the disaggregated approach is beneficial for the investigation of the specific creators of digital stress and that conceptually sound measurement models are needed in order to facilitate a more rigorous empirical investigation of digital stressors.

引言 深入理解员工广泛使用信息与通信技术（ICT）所产生的影响，对维护员工福祉、工作与生活平衡、健康状况以及工作效率均具有重要意义。因此，开发稳健可靠的测量工具，对于量化ICT使用带来的影响、助力制定促进员工福祉的有效策略至关重要。

方法 本研究将数字压力量表（DSS）翻译成挪威语，并采用双向翻译法，对1228名便利抽样的员工进行施测。数字压力量表（DSS）是一种新型多维量表，包含50个条目，用于测量10种数字压力源（一阶因子），以及数字压力量表的二阶因子。本研究通过验证性因子分析评估该量表的结构效度：首先分别评估各子量表的模型拟合度，以支持拆分式测量方法，随后再评估包含二阶因子的全量表模型拟合度。

结果 参与调查的员工中，45.6%完成了全部问卷（n = 560）。原始模型的拟合效果在本研究样本中并不理想，因此我们开展了探索性因子分析。本研究提出一个精简后的8因子量表，保留原量表37个条目，该量表在所有一阶因子上均表现出良好的内部一致性。

讨论 本研究认为，拆分式测量方法有助于探究数字压力的具体诱因，且需建立概念严谨的测量模型，以推动对数字压力源开展更为严谨的实证研究。