2024
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, Aleš KAJZAR a Marit CHRISTENSEN
Vydání
European Journal of Psychological Assessment, United States, Hogrefe Publishing, 2024, 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
Impakt faktor
Impact factor: 2.500 v roce 2022
Organizační jednotka
Ekonomicko-správní fakulta
UT WoS
001221821700003
Klíčová slova anglicky
burnout; measurement invariance; equivalence; bifactor exploratory structural equation modeling; occupational depression
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 9. 10. 2024 09:45, 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.