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
Štítky
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.