J 2025

Revisiting a global burnout score with the Burnout Assessment Tool (BAT) across nine country samples

DE BEER, Leon T.; Wilmar B. SCHAUFELI; Hans DE WITTE; Jari J. HAKANEN; Janne KALTIAINEN et al.

Základní údaje

Originální název

Revisiting a global burnout score with the Burnout Assessment Tool (BAT) across nine country samples

Autoři

DE BEER, Leon T.; Wilmar B. SCHAUFELI; Hans DE WITTE; Jari J. HAKANEN; Janne KALTIAINEN; Jürgen GLASER; Christian SEUBERT; Akihito SHIMAZU; Janine BOSAK; Jakub PROCHÁZKA ORCID; Aleš KAJZAR a Marit CHRISTENSEN

Vydání

European Journal of Psychological Assessment, United States, Hogrefe Publishing, 2025, 1015-5759

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50204 Business and management

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.100 v roce 2024

Označené pro přenos do RIV

Ne

Organizační jednotka

Ekonomicko-správní fakulta

UT WoS

001221821700003

EID Scopus

2-s2.0-85193589578

Klíčová slova anglicky

burnout; measurement invariance; equivalence; bifactor exploratory structural equation modeling; occupational depression

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 10. 2025 14:19, Mgr. Alžběta Karolyiová

Anotace

V originále

Studies published on the validity of the Burnout Assessment Tool (BAT), a novel burnout instrument, have gained traction in the literature over recent years. The BAT has been successfully shown to be equivalent across representative samples when modeled as a second order/higher-order model. However, this specification is not free of criticism and the bifactor approach has been presented as the alternative model specification. Therefore, a study investigating the construct-relevant multidimensionality of the BAT across many representative samples is warranted to reassess a global burnout factor (n = 9,041). We implemented bifactor exploratory structural equation modeling to ascertain the relevance of a global burnout factor and specific component factors (bifactor-ESEM). According to the standardized loadings and McDonald’s ω coefficients, the results showed that the bifactor-ESEM model had a strong global burnout factor with relevant specific factors beyond the global factor. The model also showed measurement invariance across countries and genders. We also present a figure that compares the global burnout mean scores of the countries. All in all, the results of this study reaffirmed that BAT-assessed burnout can be modeled with an equivalent global burnout score across conditions.

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