Evidence of validity of the 10-item Big Five Inventory (BFI-10) in Peruvian medical students
DOI:
https://doi.org/10.24016/2026.v12.542Keywords:
Big Five Inventory; Personality; Psychometric validation; Medical students; Peru; Medical educationAbstract
Introduction: The Big Five model is the most widely accepted theoretical framework for assessing personality traits, with applications in medical education, such as to predict academic performance, burnout, and student well-being. The BFI-10 is an ultra-short 10-item version designed for time-constrained contexts, although it lacks validation in Latin American medical students.
Objective: The objective of this study was to evaluate the evidence of validity of the BFI-10 in Peruvian medical students.
Method: A cross-sectional psychometric validation study was conducted during the 2024 academic year. The sample consisted of first- to seventh-year medical students at the Private University of Tacna (Peru). The factor structure was evaluated using confirmatory factor analysis, measurement invariance by sex and academic phase, internal consistency, and criterion validity against academic performance (continuous GPA) and history of mental-health care.
Results: A total of 248 medical students participated (54.4% women; mean age 22.9 years). The five-factor model showed adequate fit (CFI = 0.968; RMSEA = 0.064) with standardized loadings between 0.71 and 0.89. Measurement invariance held by academic phase and, with caution, by sex (configural RMSEA = 0.098). Internal consistency was acceptable (ω = 0.68–0.86), with Openness the lowest (ω = 0.68). No Big Five dimension correlated significantly with continuous GPA; however, Neuroticism was significantly higher among students with a history of mental-health care (p = 0.004, d = 0.55).
Conclusion: The BFI-10 shows adequate evidence of structural validity and measurement invariance (with caution for sex) in Peruvian medical students. Criterion-validity evidence remains preliminary; the instrument is suitable for group-level research rather than individual, selection, or screening decisions.
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References
Arifin, W. N. (2017). Sample size calculator [Web application]. http://wnarifin.github.io
Bianchi, R. (2018). Burnout is more strongly linked to neuroticism than to work-contextualized factors. Psychiatry Research, 270, 901–905. https://doi.org/10.1016/j.psychres.2018.11.015
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
Costa Mastrascusa, R., De Oliveira Fenili Antunes, M. L., De Albuquerque, N. S., Virissimo, S. L., Foletto Moura, M., Vieira Marques Motta, B., De Lara Machado, W., Moret-Tatay, C., & Quarti Irigaray, T. (2023). Evaluating the complete (44-item), short (20-item) and ultra-short (10-item) versions of the Big Five Inventory (BFI) in the Brazilian population. Scientific Reports, 13(1), 7372. https://doi.org/10.1038/s41598-023-34504-1
Courtois, R., Petot, J.-M., Plaisant, O., Allibe, B., Lignier, B., Réveillère, C., Lecocq, G., & John, O. (2020). Validation française du Big Five Inventory à 10 items (BFI-10). L’Encéphale, 46(6), 455-462. https://doi.org/10.1016/j.encep.2020.02.006 Courtois, R., Petot, J.-M., Plaisant, O., Allibe, B., Lignier, B., Réveillère, C., Lecocq, G., & John, O. (2020). Validation française du Big Five Inventory à 10 items (BFI-10). L’Encéphale, 46(6), 455-462. https://doi.org/10.1016/j.encep.2020.02.006
Dominguez-Lara, S., Merino-Soto, C., Zamudio, B., & Guevara-Cordero, C. (2018). Big Five Inventory en universitarios peruanos: Resultados preliminares de su validación. Psykhe, 27(2), 1–12. https://doi.org/10.7764/psykhe.27.2.1052
Genise, G., Ungaretti, J., & Etchezahar, E. (2020). The Big Five Personality Inventory in the Argentine context: Testing higher-order factors. Diversitas: Perspectivas en Psicología, 16(2), 325–340.
Hayat, A. A., Kohoulat, N., Amini, M., & Faghihi, S. A. A. (2020). The predictive role of personality traits on academic performance of medical students: The mediating role of self-efficacy. Medical Journal of the Islamic Republic of Iran, 34, 77. https://doi.org/10.47176/mjiri.34.77
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Kunnel John, R., Xavier, B., Waldmeier, A., Meyer, A., & Gaab, J. (2019). Psychometric evaluation of the BFI-10 and the NEO-FFI-3 in Indian adolescents. Frontiers in Psychology, 10, 1057. https://doi.org/10.3389/fpsyg.2019.01057
Limaylla, J. A. A. (2017). SUNEDU otorga licenciamiento institucional a la Universidad Privada de Tacna. SUNEDU. https://www.sunedu.gob.pe/sunedu-otorga-licenciamiento-institucional-universidad-privada-tacna/
Mammadov, S. (2022). Big Five personality traits and academic performance: A meta-analysis. Journal of Personality, 90(2), 222–255. https://doi.org/10.1111/jopy.12663
Morishita, S., Sada, K., Kudo, M., Dobashi, N., Sasaki, S., Yoshimi, R., Sakurai, N., Hidekawa, C., Shimojima, Y., Kishida, D., Ichikawa, T., Miyawaki, Y., Hayashi, K., Shidahara, K., Ishikawa, Y., Oguro, N., Yajima, N., Kurita, N., & Suganuma, N. (2025). Association of physicians’ Big Five personality traits with shared decision-making in patients with SLE. Rheumatology, 64(10), 5269-5276. https://doi.org/10.1093/rheumatology/keaf288
Padilla, M. A., & Divers, J. (2016). A comparison of composite reliability estimators: Coefficient omega confidence intervals in the current literature. Educational and Psychological Measurement, 76(3), 436–453. https://doi.org/10.1177/0013164415593776
Rammstedt, B., & John, O. P. (2007). Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41(1), 203–212. https://doi.org/10.1016/j.jrp.2006.02.001
Regzedmaa, E., Ganbat, M., Sambuunyam, M., Tsogoo, S., Radnaa, O., Lkhagvasuren, N., & Zuunnast, K. (2024). A systematic review and meta-analysis of neuroticism and anxiety during the COVID-19 pandemic. Frontiers in Psychiatry, 14, 1281268. https://doi.org/10.3389/fpsyt.2023.1281268
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
Shi, D., DiStefano, C., Zheng, X., Liu, R., & Jiang, Z. (2021). Fitting latent growth models with small sample sizes and non-normal missing data. International Journal of Behavioral Development, 45(2), 179–192. https://doi.org/10.1177/0165025420979365
Universidad Privada de Tacna. (2025). Facultad de Ciencias de la Salud: Historia. https://www.upt.edu.pe/upt/web/facultad/contenido/197/10439453
Widiger, T. A., & Oltmanns, J. R. (2017). Neuroticism is a fundamental domain of personality with enormous public health implications. World Psychiatry, 16(2), 144–145. https://doi.org/10.1002/wps.20411
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Universidad San Ignacio de Loyola
Grant numbers USIL-2026





