Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples

Detalhes bibliográficos
Autor(a) principal: de Beer, Leon T.
Data de Publicação: 2020
Outros Autores: Schaufeli, Wilmar B., De Witte, Hans, Hakanen, Jari J., Shimazu, Akihito, Glaser, Jürgen, Seubert, Christian, Bosak, Janine, Sinval, Jorge, Rudnev, Maksim
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/44208
Resumo: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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spelling Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samplesBurnoutMeasurement invarianceWork stressWork overloadWork-related well-beingStructural equation modeling© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).The aim of this study was to investigate the measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples. In this study, burnout was modeled as a second-order factor in line with the conceptual definition as a syndrome. The combined sample consisted of 10,138 participants from countries in Europe and Japan. The data were treated as ordered categorical in nature and a series of models were tested to find evidence for invariance. Specifically, theta parameterization was used in conjunction with the weighted least squares (mean- and variance adjusted) estimation method. The results showed supportive evidence that BAT-assessed burnout was invariant across the samples, so that cross-country comparison would be justifiable. Comparison of effect sizes of the latent means between countries showed that Japan had a significantly higher score on overall burnout and all the first-order factors compared to the European countries. The European countries all scored similarly on overall burnout with no significant difference but for some minor differences in first-order factors between some of the European countries. All in all, the analyses of the data provided evidence that the BAT is invariant across the countries for meaningful comparisons of burnout scores.W Schaufeli and H De Witte: This project was funded by the KU Leuven (C3-project C32/15/003 – Development and validation of a questionnaire to assess burnout). J Hakanen: This research was funded by the Finnish Work Environment Fund, grant number 190126. J. Sinval: This work was produced with the support of INCD funded by FCT and FEDER under the project 22153-01/SAICT/2016. M. Rudnev: The work is an output of a research project implemented as part of the Basic Research Program at the National Research University Higher School of Economics (HSE University).MDPIRepositório da Universidade de Lisboade Beer, Leon T.Schaufeli, Wilmar B.De Witte, HansHakanen, Jari J.Shimazu, AkihitoGlaser, JürgenSeubert, ChristianBosak, JanineSinval, JorgeRudnev, Maksim2020-08-03T16:24:10Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10451/44208engInt. J. Environ. Res. Public Health 2020, 17(15), 56041661-782710.3390/ijerph171556041660-4601info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:45:06Zoai:repositorio.ul.pt:10451/44208Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:56:51.575291Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
title Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
spellingShingle Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
de Beer, Leon T.
Burnout
Measurement invariance
Work stress
Work overload
Work-related well-being
Structural equation modeling
title_short Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
title_full Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
title_fullStr Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
title_full_unstemmed Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
title_sort Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples
author de Beer, Leon T.
author_facet de Beer, Leon T.
Schaufeli, Wilmar B.
De Witte, Hans
Hakanen, Jari J.
Shimazu, Akihito
Glaser, Jürgen
Seubert, Christian
Bosak, Janine
Sinval, Jorge
Rudnev, Maksim
author_role author
author2 Schaufeli, Wilmar B.
De Witte, Hans
Hakanen, Jari J.
Shimazu, Akihito
Glaser, Jürgen
Seubert, Christian
Bosak, Janine
Sinval, Jorge
Rudnev, Maksim
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv de Beer, Leon T.
Schaufeli, Wilmar B.
De Witte, Hans
Hakanen, Jari J.
Shimazu, Akihito
Glaser, Jürgen
Seubert, Christian
Bosak, Janine
Sinval, Jorge
Rudnev, Maksim
dc.subject.por.fl_str_mv Burnout
Measurement invariance
Work stress
Work overload
Work-related well-being
Structural equation modeling
topic Burnout
Measurement invariance
Work stress
Work overload
Work-related well-being
Structural equation modeling
description © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
publishDate 2020
dc.date.none.fl_str_mv 2020-08-03T16:24:10Z
2020
2020-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/44208
url http://hdl.handle.net/10451/44208
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Int. J. Environ. Res. Public Health 2020, 17(15), 5604
1661-7827
10.3390/ijerph17155604
1660-4601
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