EVALUATING THE RELIABILITY AND VALIDITY OF THE BURNOUT ASSESSMENT TOOL (BAT) TO TEACHERS IN CREECE

Authors

  • Labrina Gioti Associate Professor, Department of Primary Education, Aristotle University of Thessaloniki, Greece
  • Konstantinos Zogopoulos PhD Candidate, Department of History-Archaeology, University of Patras, Greece

DOI:

https://doi.org/10.46827/ejes.v12i12.6442

Keywords:

Burnout Assessment Tool (BAT), validity, reliability, burnout, teachers, Greece

Abstract

This study examines the validity and reliability of the Greek adaptation of the Burnout Assessment Tool (BAT), the most recently developed and updated burnout measurement tool (2019-20), in primary and secondary school teachers. Burnout has been a serious issue in the field of education in recent years, and especially after the COVID-19 pandemic, as teachers face high demands and limited support resources, resulting in symptoms such as physical and mental exhaustion, distancing, cognitive and emotional impairment. The survey involved 1,044 teachers from all over Greece, who responded electronically to BAT. Data analysis was performed by exploratory and confirmatory factor analysis (EFA, CFA) using SPSS 29 and SmartPLS 4 software, in the context of PLS-SEM and CB-SEM. The results showed that BAT maintains its original six-factor structure (exhaustion, mental distance, cognitive impairment, emotional impairment, psychological and psychosomatic complaints) with high loads (>0.615) and very good internal consistency (Cronbach's alpha of 0.794 to 0.934). Convergent and discrete validity were confirmed, while the model showed good fit (SRMR=0.06). The consistency of the results between the PLS-SEM analysis and the CB-SEM confirmation significantly enhances the validity of the Greek adaptation of the BAT. The tool proves to be reliable, stable and theoretically consistent, as its exgenerative structure remains unchanged and clearly conveys the real experience of burnout in the field of education. At the same time, the existence of the general factor G-BAT provides the possibility to calculate an overall burnout index, which can be useful for comparative or longitudinal studies. The findings support that BAT is a reliable and valid tool for measuring burnout in Greek teachers, offering the possibility of targeted prevention and support interventions. At the same time, research limitations are recognized, such as the self-selection of the sample and the absence of repeat measurement control, which indicate the need for further research.

 

Article visualizations:

Hit counter

Author Biographies

  • Labrina Gioti, Associate Professor, Department of Primary Education, Aristotle University of Thessaloniki, Greece

    Labprina Gioti was born in Athens. She is an Associate Professor in the Department of Pedagogy and Social Exclusion at the School of Primary Education of Aristotle University, specializing in Adult Education. She previously served as Laboratory Teaching Staff at the Pedagogical Department of the Higher School of Pedagogical and Technological Education and has many years of professional experience as a primary school teacher. She holds degrees from the Marasleio Pedagogical Academy and the School of Philosophy at the University of Athens (Department of Philosophy, Pedagogy and Psychology – Psychology Division). At the same Department, she completed her postgraduate studies in Pedagogy and her doctoral dissertation in Adult Education, and subsequently taught in both the undergraduate and postgraduate programs. She has also taught in the interdepartmental postgraduate program of Democritus University. Since 2011, she has been Academic Teaching Personnel at the Hellenic Open University, contributing to two postgraduate programs, and since the academic year 2018–2019 she has been teaching in an interdepartmental postgraduate program at the University of West Attica. Her research and scholarly work focus on adult education and on the relationship between theory and practice in educational processes. She has participated in research projects and has served on scientific committees and peer-review panels for conferences and academic journals. She has extensive experience in adult education training programs and in the professional development of teachers. She is the author of one book and has contributed to the authorship of five others, while she has co-edited an additional five volumes. Her articles have been published in reputable Greek and international journals as well as in conference proceedings.

  • Konstantinos Zogopoulos, PhD Candidate, Department of History-Archaeology, University of Patras, Greece

    Konstantinos Zogopoulos is the Principal of a Primary School. He is a graduate of the Department of Primary Education of the University of Athens and a graduate of the Department of History and Political Science at Panteion University of Athens. He has a Master's degree in Education Management from the Department of Business Administration, TEI of Western Greece (Patras). He is a PhD candidate at the Department of History-Archaeology of the University of Patras. He has published in international journals and has participated in national and international conferences. He is co-author of two books (a) Panagiotopoulos, G., Karanikola Z., & Zogopoulos, K. (2023). Skills in the contemporary context. A research dialogue. Publications: Grigoris, b) Zogopoulos, K., & Karatzas, A. (2025). Artificial Intelligence and Education. Investigation of the views of teachers in Greece. Publications: Grigoris). His main research interests are school administration, educational technologies, research methodology.

References

Agyapong, B. O., Obuobi Donkor, G., Burback, L., & Wei, Y. (2022). Stress, burnout, anxiety and depression among teachers: A scoping review. International Journal of Environmental Research and Public Health, 19(17). https://doi.org/10.3390/ijerph191710706

Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self efficacy and burnout: A multivariate meta analysis. Educational Psychology Review, 26(1), 101–126. https://doi.org/10.1007/s10648-013-9244-0

Androulakis, G. S., Georgiou, D. A., Lainidi, O., Montgomery, A., & Schaufeli, W. B. (2023). The Greek Burnout Assessment Tool: Examining its adaptation and validity. International Journal of Environmental Research and Public Health, 20(10), 5827. https://doi.org/10.3390/ijerph20105827

Angelini, G., Buonomo, I., Benevene, P., Consiglio, P., Romano, L., & Fiorilli, C. (2021). The Burnout Assessment Tool (BAT): A contribution to Italian validation with teachers. Sustainability, 13(16). https://doi.org/10.3390/su13169065

Antoniou, A. S., Polychroni, F., & Vlachakis, A. N. (2006). Gender and age differences in occupational stress and professional burnout among primary and high-school teachers in Greece. Journal of Managerial Psychology, 21(7), 682–690. https://doi.org/10.1108/02683940610690213

Babbie, E. R. (2013). The Practice of Social Research (13th ed.). Belmont, CA: Wadsworth Cengage Learning. Retrieved from https://books.google.ro/books/about/The_Practice_of_Social_Research.html?id=af9OpwAACAAJ&redir_esc=y

Basinska, B. A., Gruszczynska, E., & Schaufeli, W. B. (2021). Polish adaptation of the Burnout Assessment Tool (BAT-PL) by Schaufeli et al. [in Polish]. Psychiatria Polska, 55(1), 1–13. https://doi.org/10.12740/PP/OnlineFirst/141563

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014

Bonett, D. G. (2002). Sample size requirements for testing and estimating coefficient alpha. Journal of Educational and Behavioral Statistics, 27(4), 335–340. https://doi.org/10.3102/10769986027004335

Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910457000100301

Bryman, A. (2012). Social Research Methods (4th ed.). Oxford, UK: Oxford University Press. Retrieved from https://books.google.ro/books/about/Social_Research_Methods.html?id=vCq5m2hPkOMC&redir_esc=y

Cho, S. H. (2020). Preliminary study for the validation of the Korean version of the Burnout Assessment Tool (K-BAT). Korean Journal of Industrial and Organizational Psychology, 33(4), 461–499. https://doi.org/10.24230/kjiop.v33i4.461-499

Chryssouli, E., & Koutroukis, T. (2023). A comparative study of burnout among several teachers’ specializations in secondary schools of Thessaloniki. Merits, 3(3), 478–493. https://doi.org/10.3390/merits3030028

Consiglio, C., Mazzetti, G., & Schaufeli, W. B. (2021). Psychometric properties of the Italian version of the Burnout Assessment Tool (BAT). International Journal of Environmental Research and Public Health, 18(18). https://doi.org/10.3390/ijerph18189469

Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Lawrence Erlbaum Associates, Inc. Retrieved from https://books.google.ro/books/about/A_First_Course_in_Factor_Analysis.html?id=RSsVAgAAQBAJ&redir_esc=y

Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 7. https://doi.org/10.7275/jyj1-4868

de Beer, L. T., Schaufeli, W. B., De Witte, H., Hakanen, J. J., Shimazu, A., Glaser, J., Seubert, C., Bosak, J., Sinval, J., & Rudnev, M. (2020). Measurement invariance of the Burnout Assessment Tool (BAT) across seven cross-national representative samples. International Journal of Environmental Research and Public Health, 17(15), 5604. https://doi.org/10.3390/ijerph17155604

De Beer, L. T., Schaufeli, W. B., De Witte, H., Hakanen, J. J., Kaltiainen, J., Glaser, J., Seubert, C., Shimazu, A., Bosak, J., Procházka, J., Kajzar, A., & Christensen, M. (2024). Revisiting a global burnout score with the Burnout Assessment Tool (BAT) across nine country samples. European Journal of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000839

Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499

Demerouti, E., Bakker, A. B., Vardakou, I., & Kantas, A. (2003). The convergent validity of two burnout instruments: A multitrait-multimethod analysis. European Journal of Psychological Assessment, 19(1), 12–23. https://doi.org/10.1027//1015-5759.19.1.12

Demerouti, E., & Bakker, A. B. (2008). The Oldenburg Burnout Inventory: A Good Alternative to Measure Burnout and Engagement. In Handbook of Stress and Burnout in Health Care (pp. 65-78). Retrieved from https://www.researchgate.net/publication/46704152_The_Oldenburg_Burnout_Inventory_A_good_alternative_to_measure_burnout_and_engagement

Ederio, N. T., Inocian, E. P., Calaca, N. I., & Espiritu, J. G. M. (2023). Ethical research practices in educational institutions: A literature review. International Journal of Current Science Research and Review, 6(5), 2709–2724. https://doi.org/10.47191/ijcsrr/V6-i5-02

ELSTAT. (2025a, February 7). Surveys on pre-primary and primary education (kindergartens and primary schools) – End of school year 2022/2023. Piraeus: Hellenic Republic.

ELSTAT. (2025b, February 7). Surveys on Secondary Education (Gymnasia and Lykeia) – End of school year 2022/2023 [Statistical report]. Hellenic Statistical Authority. https://www.statistics.gr/documents/20181/18539672/DT_gymnasia_lykeia_2022-2023_gr.pdf

Field, A. P. (2018) Discovering Statistics Using IBM SPSS Statistics. 5th Edition, Sage, Newbury Park.

Flook, L., Goldberg, S. B., Pinger, L., Bonus, K., & Davidson, R. J. (2013). Mindfulness for teachers: A pilot study to assess effects on stress, burnout, and teaching efficacy. Mind, Brain, and Education, 7(3), 182–195. https://doi.org/10.1111/mbe.12026

Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430–457. https://doi.org/10.1108/INTR-12-2017-0515

Hadžibajramović, E., Schaufeli, W. B., & De Witte, H. (2024). The ultra-short version of the Burnout Assessment Tool (BAT4): Development, validation, and measurement invariance across countries, age, and gender. PLOS ONE, 19(2). https://doi.org/10.1371/journal.pone.0297843

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Education. Retrieved from https://books.google.ro/books/about/Multivariate_Data_Analysis.html?id=0R9ZswEACAAJ&redir_esc=y

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications. Retrieved from https://books.google.ro/books/about/A_Primer_on_Partial_Least_Squares_Struct.html?hl=id&id=AVMzEAAAQBAJ&redir_esc=y

Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006). Burnout and work engagement among teachers. Journal of School Psychology, 43(6), 495–513. https://doi.org/10.1016/j.jsp.2005.11.001

Halbesleben, J. R. B., & Demerouti, E. (2005). The construct validity of an alternative measure of burnout: Investigating the English translation of the Oldenburg Burnout Inventory. Work & Stress, 19(3), 208–220. https://doi.org/10.1080/02678370500340728

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. https://doi.org/10.1007/BF02289447

Gaire, B. R. (2024). Sources of teachers’ occupational stress and effects on their self-efficacy. Vox Batauli, 9, 11–23. https://doi.org/10.3126/vb.v9i01.70396

Gkontelos, A., Vaiopoulou, J., & Stamovlasis, D. (2023). Burnout of Greek teachers: Measurement invariance and differences across individual characteristics. European Journal of Investigation in Health, Psychology and Education, 13(6), 1029–1042. https://doi.org/10.3390/ejihpe13060079

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575

Kang, E., & Hwang, H.-J. (2023). The importance of anonymity and confidentiality for conducting survey research. Journal of Research and Publication Ethics, 4(1), 1–7. https://doi.org/10.15722/jrpe.4.1.202303.1

Kantas, A., & Vassilaki, E. (1997). Research note: Burnout in Greek teachers: Main findings and validity of the Maslach Burnout Inventory. Work & Stress, 11(1), 94–100. https://doi.org/10.1080/02678379708256826

Kaschka, W. P., Korczak, D., & Broich, K. (2011). Burnout: A fashionable diagnosis. Deutsches Ärzteblatt International, 108(46), 781–787. https://doi.org/10.3238/arztebl.2011.0781

Kisaakye, V., Njora, H., & Wodon, Q. (2024). Teacher burnout and the importance of mental health and psycho-social support in Africa. UNESCO IICBA

Klassen, R. M. (2010). Teacher stress: The mediating role of collective efficacy beliefs. The Journal of Educational Research, 103(5), 342–350. https://doi.org/10.1080/00220670903383069

Koçak, Ö. E., Gençay, O., & Schaufeli, W. B. (2022). BAT-TR: Tükenmişlik Ölçme Aracı’nın (BAT) Türkçeye uyarlanması [BAT-TR: Turkish adaptation of Burnout Assessment Tool (BAT)]. Psikoloji Çalışmaları - Studies in Psychology, 42(3), 509–549. https://doi.org/10.26650/SP2020-799817

Kokkinos, C. M. (2006). Factor Structure and Psychometric Properties of the Maslach Burnout Inventory-Educators Survey among Elementary and Secondary School Teachers in Cyprus. Stress and Health, 22, 25-33. https://doi.org/10.1002/smi.1079

Kristensen, T. S., Borritz, M., Villadsen, E., & Christensen, K. B. (2005). The Copenhagen Burnout Inventory: A new tool for the assessment of burnout. Work & Stress, 19(3), 192–207 https://doi.org/10.1080/02678370500297720

Kyriacou, C. (1987). Teacher Stress and Burnout: An International Review. Educational Research, 29, 146-152. http://dx.doi.org/10.1080/0013188870290207

Lazauskaitė-Zabielskė, J., Žiedelis, A., Jakštienė, R., Urbanavičiūtė, I., & De Witte, H. (2023). The Lithuanian version of the Burnout Assessment Tool (BAT-LT): Psychometric characteristics of the primary and secondary symptoms scales. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1287368

Leiter, M. P., & Maslach, C. (2016). Latent burnout profiles: A new approach to understanding the burnout experience. Burnout Research, 3(4), 89–100. https://doi.org/10.1016/j.burn.2016.09.001

MacCallum, R. C., Widaman, K. F., Preacher, K. J., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36(4), 611–637. https://doi.org/10.1207/s15327906mbr3604_06

Mahadi, N. F., Chin, R. W. A., Chua, Y. Y., Chu, M. N., Wong, M. S., Yusoff, M. S. B., & Lee, Y. Y. (2018). Malay language translation and validation of the Oldenburg Burnout Inventory measuring burnout. Education in Medicine Journal, 10(2), 27–40. https://doi.org/10.21315/eimj2018.10.2.4

Márquez Lugo, I., Mosquera-Quiñónez, M., Ochoa-Granados, C., Pacavita-Sánchez, D., Palencia-Sánchez, F., & Riaño-Casallas, M. (2021). Revisión de los instrumentos de medición del síndrome de burnout - Documento de trabajo (Instruments for Measuring Burnout Syndrome: A Review - Working Paper). SSRN. https://doi.org/10.2139/ssrn.3841093

Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113. https://doi.org/10.1002/job.4030020205

Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). Maslach Burnout Inventory Manual (3rd ed.). Mountain View, CA: CPP, Inc. Retrieved from https://www.researchgate.net/publication/277816643_The_Maslach_Burnout_Inventory_Manual

Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397-422. https://doi.org/10.1146/annurev.psych.52.1.397

McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates Publishers.

Meimeti, E., & Moisoglou, I. (2019). Burnout syndrome in professionals employed in special education schools. Hellenic Journal of Nursing Science, 12(3), 44–52. https://doi.org/10.24283/hjns.2019.3.5

Nguyen, C. H. (2007). Email surveys in educational research: Ethical surveys in educational research. Essays in Education, 21(1), Article 2. https://openriver.winona.edu/eie/vol21/iss1/2

Nithavrianaki, A., & Papadouris, P. (2020). Relationship between self-efficacy and professional burnout in special education staff. Epistimes Agogis [Educational Sciences], (3), 93–112.

Ntavlamanou, M. J. (2024). Occupational burnout of Greek primary education teachers. European Journal of Education and Pedagogy, 5(6), 46–51. https://doi.org/10.24018/ejedu.2024.5.6.893

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

Piperac, P., Todorovic, J., Terzic-Supic, Z., Maksimovic, A., Karic, S., Pilipovic, F., & Soldatovic, I. (2021). The Validity and Reliability of the Copenhagen Burnout Inventory for Examination of Burnout among Preschool Teachers in Serbia. International journal of environmental research and public health, 18(13), 6805. https://doi.org/10.3390/ijerph18136805

Platsidou, M. (2010). Trait Emotional Intelligence of Greek Special Education Teachers in Relation to Burnout and Job Satisfaction. School Psychology International, 31(1), 60-76. https://doi.org/10.1177/0143034309360436

Platsidou, M., & Daniilidou, A. (2016a). Teacher burnout and job satisfaction: The mediating role of emotional intelligence. European Journal of Counselling Psychology, 5(1), 31–50. https://doi.org/10.5964/ejcop.v5i1.93

Platsidou, M., & Daniilidou, A. (2016b). Three scales to measure burnout of primary school teachers: Empirical evidence on their adequacy. International Journal of Educational Psychology, 5(2), 164–186. https://doi.org/10.17583/ijep.2016.1810

Ramírez Angel, L. M. (2025). Cultural adaptation and validation into Spanish of the Oldenburg Burnout Inventory (OLBI) in university professors in Colombia. International Journal of Psychological Research, 18(1), 39–49. https://doi.org/10.21500/20112084.7043

Redelinghuys, K., & Morgan, B. (2023). Psychometric properties of the Burnout Assessment Tool across four countries. BMC Public Health, 23(1), 824. https://doi.org/10.1186/s12889-023-15604-z

Reis, D., Xanthopoulou, D., & Tsaousis, I. (2015). Measuring job and academic burnout with the Oldenburg Burnout Inventory (OLBI): Factorial invariance across samples and countries. Burnout Research, 2(1), 8–18. https://doi.org/10.1016/j.burn.2014.11.001

Sakakibara, K., Shimazu, A., Toyama, H., & Schaufeli, W. B. (2020). Validation of the Japanese version of the Burnout Assessment Tool. Frontiers in Psychology, 11, 1819. https://doi.org/10.3389/fpsyg.2020.01819

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2014). Estimation issues with PLS and CBSEM: where the bias lies! Journal of Business Research, 67(9), 1795–1803. https://doi.org/10.1016/j.jbusres.2016.06.007

Schaufeli, W. B., De Witte, H., & Desart, S. (2020a). User Manual – Burnout Assessment Tool (BAT) – Version 2.0. KU Leuven, Belgium: Internal report. Retrieved from https://burnoutassessmenttool.be/wp-content/uploads/2020/08/User-Manual-BAT-version-2.0.pdf

Schaufeli, W. B., Desart, S., & De Witte, H. (2020b). Burnout Assessment Tool (BAT)—Development, validity, and reliability. International Journal of Environmental Research and Public Health, 17(24), 9495. https://doi.org/10.3390/ijerph17249495

Schaufeli, W. B., & De Witte, H. (2023). A fresh look at burnout: The Burnout Assessment Tool (BAT). In C. U. Krägeloh et al. (eds), International Handbook of Behavioral Health Assessment (cap. 54). Cham: Springer. https://doi.org/10.1007/978-3-030-89738-3_54-1

Schaufeli, W. B., De Witte, H., Desart, S., De Cuyper, N., Gülova, A. A., Hakanen, J. J., Kubicek, B., Mauno, S., Salanova, M., Shimazu, A., Van den Broeck, A., & Van Der Heijden, B. I. J. M. (2023). The Burnout Assessment Tool (BAT): Cross-national measurement invariance across seven countries and implications for its use in international research. European Journal of Psychological Assessment, 39(2), 120–134. https://doi.org/10.1027/1015-5759/a000757

Schaufeli, W. B., & Taris, T. W. (2005). The conceptualization and measurement of burnout: Common ground and worlds apart. Work & Stress, 19(3), 256–262. https://doi.org/10.1080/02678370500385913

Scherzinger, M., & Wettstein, A. (2019). Classroom disruptions, the teacher–student relationship and classroom management from the perspective of teachers, students and external observers: A multimethod approach. Learning Environments Research, 22(1), 101–116. https://doi.org/10.1007/s10984-018-9269-x

Sinval, J., Vazquez, A. C. S., Hutz, C. S., Schaufeli, W. B., & Silva, S. (2022). Burnout Assessment Tool (BAT): Validity evidence from Brazil and Portugal. International Journal of Environmental Research and Public Health, 19(3), 1344. https://doi.org/10.3390/ijerph19031344

Skaalvik, E.M. and Skaalvik, S. (2020) Teacher Burnout: Relations between Dimensions of Burnout, Perceived School Context, Job Satisfaction and Motivation for Teaching. A Longitudinal Study. Teachers and Teaching, 26, 602-616. https://doi.org/10.1080/13540602.2021.1913404

Sourlou, E. (2024). Teacher burnout in Greece: An investigation using the OLBI scale [Master’s thesis, University of Patras].

Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (4th ed.). Lawrence Erlbaum Associates Publishers. Retrieved from https://psycnet.apa.org/record/2001-18534-000

Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson.

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2

Van Royen, A., Wante, L., & Braet, C. (2024). A validation of the Flemish School Burnout Assessment Tool for students between 17 and 21 years old (FS-BAT). Mental Health & Prevention. https://doi.org/10.1016/j.mhp.2024.200374

Vinueza-Solórzano, A. M., Portalanza-Chavarría, C. A., de Freitas, C. P. P., Schaufeli, W. B., De Witte, H., Hutz, C. S., & Souza Vazquez, A. C. (2021). The Ecuadorian version of the Burnout Assessment Tool (BAT): Adaptation and validation. International Journal of Environmental Research and Public Health, 18(13), 7121. https://doi.org/10.3390/ijerph18137121

von der Embse, N., Ryan, S. V., Gibbs, T., & Mankin, A. (2019). Teacher stress interventions: A systematic review. Psychology in the Schools, 56(8), 1328–1343. https://doi.org/10.1002/pits.22279

Wheeler, D. L., Vassar, M., Worley, J. A., & Barnes, L. L. B. (2011). A reliability generalization meta-analysis of coefficient alpha for the Maslach Burnout Inventory. Educational and Psychological Measurement, 71(1), 231–244. https://doi.org/10.1177/0013164410391579

WHO. (2018). Process of translation and adaptation of instruments. Geneva: World Health Organization 2016.

WHO. (2019). Burn-out an occupational phenomenon: International Classification of Diseases. WHO. https://www.who.int/mental_health/evidence/burn-out/en/

Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237

Zogopoulos, K., & Mpantouna, M. (2020). Evaluation of the factorial structure of the Oldenburg Burnout Inventory (OLBI) research tool in the field of education in Greece. Educational Circle, 8(3), 303–325. Retrieved from https://educircle.gr/wp-content/uploads/2020/01/teyxos_8_3_19.pdf

Downloads

Published

2025-12-22

Issue

Section

Articles