The psychometric properties of the Burnout Assessment Tool in Norway: A thorough investigation into construct-relevant multidimensionality

Scand J Psychol. 2023 Dec 25. doi: 10.1111/sjop.12996. Online ahead of print.

Abstract

Objective: The World Health Organization recognizes burnout as an occupational issue. Nevertheless, accurately identifying employee burnout remains a challenging task. To complicate matters, current measures of burnout have demonstrated limitations, prompting the development of the Burnout Assessment Tool (BAT). Given these circumstances, conducting an in-depth examination of the BAT's construct-relevant multidimensionality is crucial.

Method: This study focuses on both the original 23-item BAT and the short 12-item version, using modern factor analytic methods to investigate reliability, validity, and measurement invariance in a representative sample from Norway (n = 493; 49.54% women).

Results: Our findings revealed that the bifactor exploratory structural equation modeling solution (burnout global factor and four specific burnout component factors) best explained the data for both BAT versions. All factors demonstrated adequate omega coefficients, with the global factor showing exceptional strength. Both BAT versions correlated highly with each other and with another burnout measure, suggesting convergent validity. Furthermore, both BAT versions achieved full (strict) measurement invariance based on gender. Finally, our results showed that burnout acts as a mediator in our proposed job demands-resources model as preliminary evidence of predictive validity.

Conclusions: The study validates the Burnout Assessment Tool in the Norwegian context. The study supports the reliability, validity, and unbiased nature of the tool across genders. The findings also reinforce the importance of job demands and resources, along with burnout as a key mediator, in understanding workplace dynamics in accordance with job demands-resources theory.

Keywords: Burnout; burnout assessment tool; exploratory structural equation modeling; job demands; job resources; measurement invariance.