J 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.

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