Examining the Factorial Structure of the Copenhagen Burnout Inventory-Student Version (CBI-S) among College Students: An Exploratory Factor Analysis
Jeremich Serafica | Athena Marie Castaño
Discipline: Education
Abstract:
Four decades have passed, and burnout is still commonly linked to professionals with extremely demanding roles.
However, it is argued that burnout is not solely job-related since chronic stress, an apparent predictor of burnout, is
not restricted to demanding jobs and work environments. For instance, students are susceptible to burnout and its
corresponding psychological issues, given the nature and requirements fused into every student's academic journey.
This rationale paved the way for the development of tests for students' burnout. The Copenhagen Burnout InventoryStudent version (CBI-S) is a standardized scale validated in various contexts as an alternative measurement that
addresses the limitations of other well-established burnout measures. The present study aims to validate the English
version of the CBI-S using exploratory factor analysis (EFA) in Filipino college students. This is to determine whether
the initial four-factor structure established by previous scholars applies to the Filipino context. The data was gathered
from 310 randomly selected college students. The findings support a three-factor solution for studies-related burnout
(SRB), classmates-related burnout (CRB), and instructor-related burnout (IRB), which is different from the findings
of previous studies since the present analysis integrated personal burnout (PB) and SRB as one factor pertinent to
academic burnout. The results contribute significantly to the existing evidence about the CBI-S’ psychometric and
cross-cultural validity in the Filipino context, especially to the number of factors it has. These results can be used to
improve further or develop a standardized scale that will precisely measure burnout among Filipino students using
further research.
References:
- Adonis, M. (2021, April 12). Flaws aside, online learning takes a toll on students’ mental health. Inquirer.Net. Retrieved February 24, 2024, from https://newsinfo.inquirer.net/1417703/flawsaside-online-learning-takes-toll-on-students-mental-health
- Al-Alawi, M., Al-Sinawi, H., Al-Qubtan, A., Al-Lawati, J., Al-Habsi, A., Al-Shuraiqi, M., Al-Adawi, S., & Panchatcharam, S. M. (2019). Prevalence and determinants of burnout syndrome and depression among medical students at Sultan Qaboos University: a
- cross-sectional analytical study from Oman. Archives of environmental & occupational health, 74(3), 130–139. https://doi.org/10.1080/19338244.2017.1400941
- Bandalos, D. L., & Gerstner, J. J. (2016). Using factor analysis in test construction. In K. Schweizer & C. DiStefano (Eds.), Principles and methods of test construction: Standards and recent advances (pp. 26-51). Boston, MA: Hogrefe. https://psycnet.apa.org/record/2016-44627-003
- Bianchi, R., Truchot, D., Laurent, E., Brisson, R., and Schonfeld, I. S. (2014). Is burnout solely job-related? A critical comment. Scandinavian Journal of Psychology, 55, 357–361. https://doi.org/10.1111/sjop.12119
- Bolatov, A.K, Seisembekov, T.Z., Askarova, A.Zh., Igenbayeva, B.B., Smailova, D.S., Hosseini, H. (2021). Psychometric Properties of the Copenhagen Burnout Inventory in a Sample of Medical Students in Kazakhstan. Psychology in Russia: State of the Art, 14(2), 15-24. https://doi.org/10.11621/pir.2021.0202
- Campo, D.B., Alvares, J., Carlotto, M.S., & Maroco, J. (2013). Copenhagen burnout inventory – student version: Adaptation and transcultural validation for Portugal and Brazil. Copenhagen - versãoestudantes: adaptação e validação transcultural para Portugal e
- Brasil. Psicologia: Reflexão e Crítica, 26(1),87- 97. https://www.redalyc.org/pdf/188/18826165010.pdf
- Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, pp. 1, 16–29. https://doi.org/10.1037/1082-989X.1.1.16
- Derrick, B., White, P., Toher, D. (2020). Parametric and non-parametric tests of two samples, which both include paired and unpaired observations. Journal of Modern Applied Statistical Methods, 18(1), eP2847. https://dx.doi.org/10.22237/jmasm/1556669520
- Eisenstein, L. (2018). To fight burnout, organize. The New England Journal of Medicine. https://doi.org/10.1056/nejmp1803771
- Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis I psychological research. Psychological Methods, 4, 272-299. doi:10.1037/1082–989X.4.3.272
- Forné, C., Yuguero, O. Factor structure of the Maslach Burnout Inventory Human Services Survey in Spanish urgency healthcare personnel: a cross-sectional study. BMC Med Educ 22,615. https://doi.org/10.1186/s12909-022-03666-3
- Greider, S., & Steiner, M.D. (2022). A comparison of implementations of principal axis factoring and promax rotation in R and SPSS. Behavior Research Methods 54, 54-74. https://doi.org/10.3758/s13428-021-01581-x
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. https://www.drnishikantjha.com/papersCollection/Multivariate%20Data%20Analysis.pdf
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice Hall. IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.
- Khani, M.H., Mohammadi, M., Anvari, F., & Farsi, M. (2018). Students school burnout inventory: development, validation, and reliability of scale. International School Health, 5(1). https://doi.org/10.5812/intjsh.57594
- Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and sample size. Korean journal of anesthesiology, 72(4), 331–335. https://doi.org/10.4097/kja.d.18.00292
- 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). https://doi.org/10.1080/02678370500297720
- Li, X., Deng, S., Li, L., Jiang, Y. (2019). Outlier detection on robust Mahalanobis distance and its application. Open Journal of Statistics, 9(1). 15-26. https://doi.org/10.4236/ojs.2019.91002
- Maslach, C., & Leiter, M., P. (2016). Understanding burnout experience: Recent research and its implication for psychiatry. World Psychiatry, 15(2). 103-111. https://doi.org/10.1002%2Fwps.20311
- Maslach, C., Jackson, S. E., & Leiter, M. P. (2018). Maslach Burnout Inventory Manual, 4th Edn Menlo Park, CA: Mind Garden. https://doi.org/10.1002/job.4030020205
- Najmi, A., Sadasivam, B., & Ray, A. (2021). How to choose and interpret a statistical test? An update for budding researchers. Journal of Family Medicine and Primary Care 10(8).
- https://journals.lww.com/jfmpc/fulltext/2021/10080/how_to_choose_and_interpret_a_statistical_test__an.8.aspx
- Norez, D. (2017). Academic burnout in college students: The impact of personality characteristics and academic term on burnout. (Publication No. 502). [Master’s thesis, Fort Hays State University]. Psychology Commons. https://scholars.fhsu.edu/theses/502/
- Norman, G. R., & Streiner, D. L. (2014). Biostatistics: The bare essentials (4th ed.). Shelton, CT: People’s Medical Publishing. O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instrumentation, and Computers, 32, 396–402.
- Samra, R. (2018). Brief history of burnout. BMJ: British Medical Journal (Online). https://doi.org/10.1136/bmj.k5268
- Serafica, J., & Muria, N. M. (2023). The Relationship Between Academic Burnout and Resilience to Academic Achievement Among College Students: A Mixed Methods Study. Psychology and Education: A Multidisciplinary Journal, 14. 697-712. https://doi.org/10.5281/zenodo.10025884
- The jamovi project (2024). jamovi (Version 2.4.8) [Computer Software]. Retrieved from https://www.jamovi.org
- Watkins, M.W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3). 219–264. https://doi.org/10.1177/0095798418771807
- Wickramasinghe, N.D., Dissanayake, D.S., & Abeywardena, G.S. (2018). Prevalence and correlates of burnout among collegiate cycle students in Sri Lanka: A school-based cross-sectional study. Child and Adolescent Psychiatry and Mental Health, p. 26. https://doi.org/10.1186/s13034-018-0238-z.
- Williamson, K., Lank, P.M., Cheema, N., Hartman, N., & Lovell, E.O. (2018). Comparing the Maslach burnout inventory to other well-being instrument in emergency medicine residents. Journal of Graduate Medical Education, 10(5). https://doi.org/10.4300%2FJGME-D-18-00155.1.