Salamon Janos, Tóth-Király István, Bõthe Beáta, Nagy Tamás, Orosz Gábor
Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Front Psychol. 2021 Jul 22;12:615581. doi: 10.3389/fpsyg.2021.615581. eCollection 2021.
Even though work engagement is a popular construct in organizational psychology, the question remains whether it is experienced as a global construct, or as its three components (vigor, dedication, absorption). The present study thus contributes to the ongoing scientific debate about the dimensionality of work engagement systematically compared one-factor, first-order, higher-order, and bifactor confirmatory factor analytic (CFA) representations of work engagement measured by the short version of Utrecht Work Engagement Scale (UWES-9). We also documented the validity evidence of the most optimal representation based on its test-criterion relationship with basic psychological need fulfillment at work, turnover intentions, work addiction, and work satisfaction. Based on responses provided by two distinct samples of employees ( = 242, = 505), our results supported the superiority of the bifactor-CFA representation including a global factor of work engagement and three co-existing specific factors of vigor, dedication, and absorption. This representation replicated well across the two samples through tests of measurement invariance. Finally, while global work engagement was substantially related to all correlates, the specific factors also demonstrated meaningful associations over and above the global levels of work engagement.
尽管工作投入是组织心理学中一个广为人知的概念,但问题仍然存在:它是被体验为一个整体概念,还是其三个组成部分(活力、奉献、专注)。因此,本研究通过系统比较由乌得勒支工作投入量表简版(UWES - 9)测量的工作投入的单因素、一阶、高阶和双因素验证性因素分析(CFA)模型,为正在进行的关于工作投入维度的科学辩论做出了贡献。我们还基于其与工作中基本心理需求满足、离职意图、工作成瘾和工作满意度的测试标准关系,记录了最优模型的效度证据。基于两个不同员工样本((n_1 = 242),(n_2 = 505))提供的回答,我们的结果支持了双因素CFA模型的优越性,该模型包括一个工作投入的整体因素以及活力、奉献和专注三个共存的特定因素。通过测量不变性测试,该模型在两个样本中都得到了很好的复制。最后,虽然整体工作投入与所有相关因素都有显著关联,但特定因素在工作投入的整体水平之上也显示出有意义的关联。