Measuring Technostress in Everyday Life: Development and Validation of an Assessment Scale

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Daiana Colledani, Claudio Barbaranelli, Egidio Robusto, Pasquale Anselmi
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Abstract

As technology becomes ever-present in daily routines, the impact of technostress (TS) extends beyond the workplace, calling for a broader investigation of the construct. This study was aimed at developing a scale to measure TS in everyday life. A 68-item pool capturing key TS dimensions (TS creators) identified through literature review was administered to a large sample of respondents from the general population (N = 602). A cross-validation approach employing exploratory and confirmatory factor analyses yielded a final 20-item scale assessing four main factors: techno-overload/invasion (T-OI), techno-complexity/uncertainty (T-CU), techno-insecurity/privacy (T-IP), and techno-relationships/isolation (T-RI). The scale, called Everyday Life TS Scale (ELTS), exhibited strong psychometric properties, including high reliability, convergent and discriminant validity, and invariance across gender and two age groups. Interestingly, latent mean differences emerged, with younger individuals and females reporting higher levels of T-OI, while older individuals and females reported higher levels of T-CU. Older respondents also showed higher levels of T-IP. Consistent with previous research, TS dimensions correlated positively with neuroticism and negatively with life satisfaction and well-being (psychological, social, and emotional). The ELTS uniquely contributes to the field by addressing TS in everyday contexts, beyond traditional workplace-focused measures. The ELTS offers a valuable tool for assessing TS in the general population beyond the workplace. Moreover, it can be a useful resource for facilitating a smoother integration of technology into daily life and promoting well-being.

Abstract Image

日常生活中技术应力的测量:评估量表的开发与验证
随着技术在日常生活中变得无处不在,技术压力(TS)的影响已经超出了工作场所,需要对这种结构进行更广泛的调查。本研究旨在开发一种测量日常生活中TS的量表。从一般人群(N = 602)中抽取了大量的调查对象,通过文献综述确定了68个项目,这些项目捕获了关键的TS维度(TS创造者)。采用探索性和验证性因素分析的交叉验证方法产生了最终的20项量表,评估了四个主要因素:技术过载/入侵(T-OI),技术复杂性/不确定性(T-CU),技术不安全/隐私(T-IP)和技术关系/隔离(T-RI)。该量表被称为日常生活TS量表(ELTS),具有很强的心理测量特性,包括高信度、收敛效度和判别效度,以及跨性别和两个年龄组的不变性。有趣的是,潜在的平均差异出现了,年轻人和女性报告更高水平的T-OI,而老年人和女性报告更高水平的T-CU。年龄较大的受访者也显示出较高的T-IP水平。与以往的研究一致,TS维度与神经质呈正相关,与生活满意度和幸福感(心理、社会和情感)负相关。雅思考试通过在日常环境中解决TS问题,超越了传统的以工作场所为中心的衡量标准,为该领域做出了独特的贡献。雅思考试为评估工作场所以外的普通人群的TS提供了一个有价值的工具。此外,它可以成为促进技术更顺利地融入日常生活和促进福祉的有用资源。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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