La Autovaloración como Indicador para la Permanencia de Mujeres en Carreras STEM
DOI:
https://doi.org/10.31637/epsir-2026-2498Palabras clave:
Autoconcepto, Autoeficacia, Desigualdad de género, Educación superior, Estereotipos de género, Equidad educativa, Motivación, Mujeres en STEMResumen
Introducción: El estudio tuvo como objetivo diseñar y validar de manera preliminar un instrumento para medir la autovaloración en mujeres universitarias de áreas STEM en México. La autovaloración se plantea como un constructo multidimensional que integra estereotipos de género, autoeficacia y autoconcepto, y motivación e influencia social; ofreciendo un marco analítico para comprender cómo las percepciones inciden en la permanencia dentro de las trayectorias STEM. Metodología: Se aplicó un cuestionario piloto de 11 ítems a 97 estudiantes. Mediante un análisis factorial exploratorio la escala se depuró a 10 ítems organizados en tres subescalas. Resultados: El modelo demostró adecuada validez de constructo (KMO = 0,84; Bartlett p < 0,001) y consistencia interna global alta (α = 0,829; ω = 0,884). No se hallaron diferencias significativas entre áreas STEM, lo que sugiere que las barreras de género son transversales. Las correlaciones positivas entre dimensiones confirmaron el carácter integrado del constructo. Discusión: Los hallazgos refuerzan la pertinencia de la autovaloración como indicador subjetivo de permanencia, mostrando cómo los estereotipos impactan en la motivación y autoeficacia en todas las disciplinas STEM. Conclusiones: La autovaloración emerge como un indicador prometedor para identificar riesgos en las trayectorias académicas y orientar intervenciones educativas que fortalezcan la equidad de género en STEM.
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Arroyave, J. y Escobar, J. (2021). Producción de ignorancia y la brecha de género en STEM: un acercamiento a la formación en ingeniería. Sociología y Tecnociencia, 11(1), 139-159. https://doi.org/10.24197/st.Extra_1.2021.139-159
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77-85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
Betz, A. R., King, B., Grauer, B., Montelone, B., Wiley, Z. y Thurston, L. (2021). Improving academic self-concept and STEM identity through research immersion pathways to STEM summer program. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.674817
Chen, Y., So, W. W. M., Zhu, J. y Chiu, S. W. K. (2024). STEM learning opportunities and career aspirations: the interactive effect of students’ self-concept and perceptions of STEM professionals. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00466-7
Colorado, J., Romero, M., Salazar, M., Cabrera, G. y Castillo, V. (2024). Análisis Comparativo de los Coeficientes Alfa de Cronbach, Omega de McDonald y Alfa Ordinal en la Validación de Cuestionarios. Estudios y Perspectivas: Revista Científica y Académica, 4(4), 2738-2755. https://doi.org/10.61384/r.c.a.v4i4.836
Cowgill, C., Halper, L., Rios, K. y Crane, P. (2020). “Why So Few?”: Differential Effects of Framing the Gender Gap in STEM Recruitment Interventions. Psychology of Women Quarterly, 45(1), 61-78. https://doi.org/10.1177/0361684320965123
Crowne, D. P., y Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24(4), 349-354. https://doi.org/10.1037/h0047358
Dökme, İ., Açıksöz, A. y Koyunlu Ünlü, Z. (2022). Investigation of STEM fields motivation among female students in science education colleges. International Journal of STEM Education, 9(8). https://doi.org/10.1186/s40594-022-00326-2
Dominguez Castillo, J. G., Cisneros Cohernour, E. J. y Barberà, E. (2018). Factors influencing technology use by Mayan women in the digital age. Gender, Technology and Development, 22(3), 185-204. https://doi.org/10.1080/09718524.2018.1558862
Eccles, J. S. y Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 6. https://doi.org/10.1016/j.cedpsych.2020.101859
Eisinga, R., Grotenhuis, M.t. y Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown?. International Journal of Public Health, 58, 637-642. https://doi.org/10.1007/s00038-012-0416-3
Erichsen, K., Šaras, E. D. y Perez-Felkner, L. (2024) Toward institutional transformation: warming the chilly climate for women in STEM through macrostructural change. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1328574
Fiedler, I. (2024). Investigating Students’ Academic Self-Concepts and Persistence in STEM: How Do Gender Differences Relate to Female Representation?. International Journal of Gender, Science and Technology, 16(1), 1-30. https://genderandset.open.ac.uk/index.php/genderandset/article/view/1457
Fiedler, I., Buchholz, S. y Schaeper, H. (2024). Does Gender Composition in a Field of Study Matter? Gender Disparities in College Students’ Academic Self-Concepts. Research in Higher Education. https://doi.org/10.1007/s11162-024-09794-7
Galán-Muros, V., Bouckaert, M. y Roser-Chinchilla, J. (2023, 08 de marzo). La representación de la mujer en el mundo académico y en los puestos directivos de la educación superior: informe de políticas públicas. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO] e Instituto Internacional de la UNESCO para la Educación Superior en América Latina y el Caribe (IESALC). https://unesdoc.unesco.org/ark:/48223/pf0000386876_spa
Games, P. A. y Howell, J. F. (1976). Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study. Journal of Educational Statistics, 1(2), 113-125. https://doi.org/10.3102/10769986001002113
Hauke, J. y Kossowski, T. (2011). Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data. Quaestiones Geographicae, 30(2), 87-93. https://doi.org/10.2478/v10117-011-0021-1
Hernández Sampieri, R. y Mendoza Torres, C. P. (2023). Metodología de la Investigación. Las rutas cuantitativa, cualitativa y mixta (2.ª ed.). McGraw Hill.
Kaiser, H. F. (1974). An Index of Factorial Simplicity. Psychometrika, 39(1), 31-36. https://doi.org/10.1007/BF02291575
Kalender, Z. Y., Marshman, E., Schunn, C. D., Nokes-Malach, T. J. y Singh, C. (2020). Damage caused by women’s lower self-efficacy on physics learning. Physical Review Physics Education Research, 16(1). https://doi.org/10.1103/PhysRevPhysEducRes.16.010118
Krumpal, I. (2013). Determinants of social desirability bias in sensitive surveys: a literature review. Quality & Quantity, 47, 2025-2047. https://doi.org/10.1007/s11135-011-9640-9
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A. y Tomás-Marco, I. (2014). Exploratory Item Factor Analysis: A practical guide revised and up-dated. Anales de Psicología / Annals of Psychology, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
Marshman, E. M., Kalender, Z. Y., Nokes-Malach, T., Schunn, C. y Singh, C. (2018). Female students with A’s have similar physics self-efficacy as male students with C’s in introductory courses: A cause for alarm? Physical Review Physi cs Education Research, 14(2). https://doi.org/10.1103/PhysRevPhysEducRes.14.020123
Martínez, M., Segura, F., Andújar, J. y Ceada, Y. (2023). The Gender Gap in STEM Careers: An Inter-Regional and Transgenerational Experimental Study to Identify the Low Presence of Women. Education Sciences, 13. https://doi.org/10.3390/educsci13070649
Nederhof, A. J. (1985). Methods of coping with social desirability bias: A review. European Journal of Social Psychology, 15(3), 263-280. https://doi.org/10.1002/ejsp.2420150303
Pajares, F. (1996). Self-Efficacy Beliefs in Academic Settings. Review of Educational Research, 66(4), 543-578. https://doi.org/10.3102/00346543066004543
Papagiannopoulou, T., Vaiopoulou, J. y Stamovlasis, D. (2023). Teachers’ Readiness to Implement STEM Education: Psychometric Properties of TRi-STEM Scale and Measurement Invariance across Individual Characteristics of Greek In-Service Teachers. Education Sciences, 13(3), 1-13. https://doi.org/10.3390/educsci13030299
Pownall, M. y Heflick, N. (2024). Male psychologists and female mathematicians: Gender beliefs and undergraduate degree choices. Journal of Community & Applied Social Psychology, 34. https://doi.org/10.1002/casp.2784
Rost, D. H. y Feng, X. (2024). Academic Self-Concept Wins the Race: The Prediction of Achievements in Three Major School Subjects by Five Subject-Specific Self-Related Variables. Behavioral Sciences, 14(1), 40. https://doi.org/10.3390/bs14010040
Rubio, D. M., Berg-Weger, M., Tebb, S. S., Lee, E. S. y Rauch, S. (2003). Objectifying content validity: Conducting a content validity study in social work research. Social Work Research, 27(2), 94-104. https://doi.org/10.1093/swr/27.2.94
Siwale, K. y Mwalemba, G. (2023). Societal influences on career decision making: Perspectives of African women pursuing technology-related professions. The Electronic Journal of Information Systems in Developing Countries, 89. https://doi.org/10.1002/isd2.12259
Straza, T. (2024). Changing the equation: securing STEM futures for women. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO]. https://unesdoc.unesco.org/ark:/48223/pf0000391384
Tripon, C. (2022). Fostering womens to choose stem career by using emotional intelligence as key element. Journal of Educational Sciences, 1(45), 51-68. https://doi.org/10.35923/JES.2022.1.04
Tomczak, M. y Tomczak, E. (2014). The need to report effect size estimates revisited. An overview of some recommended measures of effect size. Trends in Sport Sciences, 1(21), 19-25. https://acortar.link/zD18bm
Verdugo-Castro, S., Sánchez-Gómez, Mª. y García-Holgado, A. (2022). Opinions and Perceptions about STEM Studies in Higher Education: An Exploratory Case Study in Spain. Education in the Knowledge Society, 23. https://doi.org/10.14201/eks.27529
Vieira do Nascimento, D., Roser-Chinchilla, J. y Mutize, T. (2021, 08 de marzo). Mujeres en la educación superior: ¿la ventaja femenina ha puesto fin a las desigualdades de género?. Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO] e Instituto Internacional de la UNESCO para la Educación Superior en América Latina y el Caribe (IESALC). https://unesdoc.unesco.org/ark:/48223/pf0000377183
Wang, M. T. y Degol, J. L. (2017). Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions. Educational Psychology Review, 29, 119-140. https://doi.org/10.1007/s10648-015-9355-x
Wood, W., y Eagly, A. H. (2012). Biosocial construction of sex differences and similarities in behavior. Advances in Experimental Social Psychology, 46, 55-123. https://doi.org/10.1016/B978-0-12-394281-4.00002-7
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Derechos de autor 2026 Monserrat Vargas Jiménez, José Gabriel Domínguez Castillo, Edith Juliana Cisneros Cohernour, José Manuel Ortiz Marcos

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