WorkWell Research Unit, Potchefstroom Campus, North-West University, Potchefstroom, 2531, South Africa.
Department of Psychology, Utrecht University, 3584, CS, Utrecht, The Netherlands.
BMC Public Health. 2022 Aug 16;22(1):1555. doi: 10.1186/s12889-022-13978-0.
Burnout is an increasing public health concern that afflicts employees globally. The measurement of burnout is not without criticism, specifically in the context of its operational definition as a syndrome, also recently designated as such by the World Health Organisation. The Burnout Assessment Tool (BAT-23) is a new measure for burnout that addresses many of the criticisms surrounding burnout scales. The aim of this study is to determine the validity, reliability, and measurement invariance of the BAT-23 in South Africa.
A quantitative, cross-sectional survey, approach was taken (n = 1048). Latent variable modelling was implemented to investigate the construct-relevant multidimensionality that is present in the BAT. For measurement invariance, the configural, metric, scalar, and strict models were tested.
The analyses showed that the hierarchical operationalisation of BAT-assessed burnout was the most appropriate model for the data. Specifically, a bifactor ESEM solution. Composite reliability estimates were all well above the cut-off criteria for both the global burnout factor and the specific factors. The measurement invariance tests showed that gender achieved not only strong invariance, but also strict invariance. However, ethnicity initially only showed strong invariance, but a test of partial strict invariance did show that the mean scores could be fairly compared between the groups when releasing certain constraints.
The BAT-23 is a valid and reliable measure to investigate burnout within the Southern African context.
burnout 是一个日益严重的公共卫生问题，困扰着全球的员工。 burnout 的测量并非没有批评，特别是在其作为综合征的操作定义方面，最近世界卫生组织也将其指定为综合征。 burnout 评估工具（BAT-23）是一种新的 burnout 测量方法，它解决了围绕 burnout 量表的许多批评。本研究的目的是确定 BAT-23 在南非的有效性、可靠性和测量不变性。
采用定量、横断面调查方法（n=1048）。实施潜在变量建模，以调查 BAT 中存在的与结构相关的多维性。为了进行测量不变性，测试了配置、度量、标度和严格模型。
分析表明，BAT 评估的 burnout 的层次操作化是最适合数据的模型。具体来说，是一种双因素 ESEM 解决方案。综合可靠性估计值在全球 burnout 因素和特定因素方面都远远超过了临界值标准。测量不变性测试表明，性别不仅实现了很强的不变性，而且还实现了严格的不变性。然而，族裔最初只表现出很强的不变性，但对部分严格不变性的测试表明，当释放某些约束时，两组之间可以公平地比较平均分数。
BAT-23 是一种在南非背景下调查 burnout 的有效且可靠的测量方法。
