A quantitative examination of gender bias in competency-based evaluation processes in Spanish organisations
Abstract
Objective: In this study, the role of gender stereotypes is examined in terms of evaluating the competencies and employability of recent university graduates. It focuses on how these stereotypes may influence employer perception and assessment of performance in the workplace.Methodology: A quantitative approach was employed using computer-assisted web interviews (CAWI) with 440 employers drawn from a database of 6,524 companies. Data were analysed using SPSS Statistics 25, including descriptive statistics, MANOVA, ANOVA and non-parametric tests (Mann–Whitney U and Kruskal–Wallis).
Results: Overall, no significant gender differences were observed for most competencies in either univariate or multivariate analyses. However, non-parametric tests revealed a small albeit statistically significant gender difference in ‘action and performance at work’, indicating that this specific competency may be subject to subtle gender biases in perception and evaluation.
Limitations: The study is limited to self-reported employer evaluations, which may be subjective, and focuses on graduates from just one university, which may limit the extent to which they can be extrapolated.
Practical implications: The findings stress how important it is to address gender biases in terms of evaluating competencies and performance. Organisations should adopt equity-aware evaluation practices, foster inclusive environments and ensure that assessment criteria take into account different expressions of professional competence.
References
Aeon , B., Faber, A., & Panaccio , A. (2021). Does time management work? A meta-analysis. PLOS ONE, 16(1). Doi: https://doi.org/10.1371/journal.pone.0245066
Biernat , M., & Sesko , A.K. (2018). Gender stereotypes and stereotyping: A cognitive perspective on gender bias . In Dess, NK, Marecek, J. & Bell LC (Eds.). Gender, sex, and sexualities: Psychological perspectives , 171–194. Oxford University Press.
Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly ecosystem. Information, Communication & Society , 15(5), 662-679. Doi: https://doi.org/10.1080/1369118X.2012.678878
Capella-Peris C, Martí-Puig M, Salvador-García C and Maravé -Vivas M (2021) Social, Personal, and Innovative Competencies Effect of Service- Learning in Physical Education Teacher Education : A Mixed-Methods Analysis . Frontiers Education , 6. Doi: https://doi.org/10.3389/feduc.2021.757483
Eagly, A.H., & Karau, S.J. (2002). Role congruity theory of prejudice toward female leaders . Psychological Review , 109(3), 573–598 . Doi: https://doi.org/10.1037/0033-295X.109.3.573
González, J.A.M. (2011). Employability: A Personal Competence and a Social Responsibility. Contributions to the Social Sciences, November. www.eumed.net/rev/cccss/15/
Herrera Granda, A., Yepes, SM, Montes Granada, WF & Álvarez Salazar, J. (2023). Students' self-perception of social, emotional and intercultural competences in a public higher education institution in Colombia, Journal for Multicultural Education, 17(1), 70-82. Doi: https://doi.org/10.1108/JME-02-2022-0032
Hong, R. (2016). Soft skills and hard numbers: Gender discourse in human resources. Big Data & Society, 3(2), 205395171667423. Doi: https://doi.org/10.1177/2053951716674237
Karakaplan Özer, E. (2023). Gender bias in workplaces: a scoping review of the factors leading to the gender bias . International Journal of Management Economics and Business. 19(1), 106-122. Doi: https://doi.org/10.17130/ijmeb.1192218
Koch, A.J., D'Mello, S.D., & Sackett, P.R. (2015). A meta-analysis of gender stereotypes and bias in experimental simulations of employment decision making. Journal of Applied Psychology, 100(1), 128–161. Doi: https://doi.org/10.1037/a0036734
Llinares Insa, L., Córdoba- Iñesta, A.I., & González-Navarro, P. (2020). Employability under debate: What do we know about employability as a strategy for social change? CIRIEC-Spain, Legal Journal of Social and Cooperative Economy, (36), 313–363. Doi: https://doi.org/10.7203/CIRIEC-JUR.36.17017
Mandal, A., Little, S.M., & Leavy, S. (2023). Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. arXiv.Org, abs/2309.04997. Doi: https://doi.org/10.48550/arxiv.2309.04997
McNatt, D. B. (2020). Service-learning: An experiment to increase interpersonal communication confidence and competence. Education + Training , 62 (2), 129-144. Doi: https://doi.org/10.1108/ET-02-2019-0039
Ministry of Labor and Social Economy (2024). The situation of women in the labor market 2023. https://www.mites.gob.es/es/sec_trabajo/analisis-mercado-trabajo/situacion-mujeres/index.htm
Moreno López, R., & Morales Calvo, S. (2017). Socio-personal competencies for the social and labor integration of young people in social education programs. REOP - Spanish Journal of Guidance and Psychopedagogy, 28(1), 33–50. https://doi.org/10.5944/reop.vol.28.num.1.2017.19357
Oblitas, A., & Plaza, N. (2020). Youth labor exclusion and integration: A gender perspective. Journal of Research and Business, 13(22), 43–56. Doi ; https://doi.org/10.38147/invneg.v13i22.99
Pagués Serra, C. & Ripani , L. (2017). Employment in the Fourth Industrial Revolution. Integration & Trade, 42, 266–276. https://dialnet.unirioja.es/servlet/articulo?codigo=6174376
Papyrina , V., Strebel , J., & Robertson, B. (2021). The student confidence gap: Gender differences in job skill self-efficacy. Journal of Education for Business, 96(2), 89–98. Doi: https://doi.org/10.1080/08 832323.2020.1757593
Raj, P., Pandey, M., & Khatoon, A. (2023). Breaking the Mold-Analyzing Gender Stereotyping in the Workplace Through Bibliometric and Content Analysis. SAGEOpen. Doi: https://doi.org/10.1177/21582440231215154
Schwab, K. (2016). The Fourth Industrial Revolution. Editorial Debate.
Teshome, A., & Oumar, J. (2023) . Engineering Graduates' Skill Acquisition and Employers Skill Need as applied to Science Education in Ethiopia. International Journal of Research in STEM Education, 5(2), 46–60. Doi: https://doi.org/10.33830/ijrse.v5i2.1607
Vilanova, N. & Ortega, I. (2017). Generation 1: Everything you need to know about the young people who have made millennials look old. Barcelona: Kindle Edition.
Wynn, A.T., & Correll, S.J. (2018). Combating Gender Bias in Modern Workplaces (509–521). Springer, Cham. Doi: https://doi.org/10.1007/978-3-319-76333-0_37
World Economic Forum (2023). Global Gender Gap Report 2023. World Economic Forum WEF_GGGR_2023.pdf
World Economic Forum. (2025). The Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025