工作投入和倦怠:哪个更重要?纵向证据的荟萃分析

Laurențiu P. Maricuțoiu, Coralia Sulea, Alina Iancu
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引用次数: 71

摘要

目前,职业倦怠(BU)和工作投入(WE)被认为是不同形式的工作场所幸福感,它们是负相关的,甚至可能同时发生,或者是直接对立和相互排斥的。这些截然不同的观点对这两个概念之间关系的真正本质产生了困难。在本文中,我们旨在通过测试BU和we之间的交叉滞后效应来澄清这一问题。我们使用与We、BU和设计类型(如纵向)相关的关键词进行了系统的数据库搜索,我们找到了25项符合条件的研究(Ntotal = 13271名参与者)。所选论文a)报告了纵向研究;b)包括BU和WE的测量值,c)报告了BU和WE在所有测量时刻的相关矩阵。首先,我们使用元分析公式计算BU和we之间的平均相关性。其次,我们利用平均效应完成相关矩阵,利用结构方程模型检验BU与we之间的交叉滞后效应。在整个研究样本中,我们发现BU和we之间的交叉滞后效应不显著。然而,当两个测量时刻之间的时间滞后作为调节因子时,在12个月的时间滞后时,筋疲力尽和WE之间存在显著的互反滞后效应。值得注意的是,因果观点的有效性似乎取决于时间滞后的大小。
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Work engagement or burnout: Which comes first? A meta-analysis of longitudinal evidence

Currently, burnout (BU) and work engagement (WE) and are considered different forms of workplace well-being, negatively related that might even co-occur, or as direct opposites and mutually exclusive. These contrasting views generate difficulties regarding the true nature of the relationship between the two concepts. In the present paper, we aim at clarifying this issue by testing the cross-lagged effects between BU and WE. We conducted systematic database searches using keywords relevant for WE, BU and design type (e.g., longitudinal), and we found 25 eligible research studies (Ntotal = 13271 participants). The selected papers a) reported a longitudinal research study; b) included measures of BU and WE, and c) reported the correlation matrix between BU and WE at all measurement moments. First, we used meta-analytical formulas to compute the averaged correlations between BU and WE. Second, we used the averaged effects to complete a correlation matrix, which was used to test the cross-lagged effects between BU and WE, using structural equations modeling. On the entire sample of studies, we found insignificant cross-lagged effects between BU and WE. However, when the time-lag between the two measurement moments was used as a moderator, significant reciprocal cross-lagged effects were found between exhaustion and WE, at 12-month time lag. Notably, it appears that the validity of causal perspective depends on the size of the time lag.

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