Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru
Descripción del Articulo
The present study aimed to evaluate the psychometric properties of the Brief Resilient Coping Scale (BRCS) in a sample of university students from Lima, Peru. A total of 866 students participated (38.3% men and 61.7% women), aged between 18 and 50 years (M = 22.06; SD = 4.97), selected through non-p...
| Autor: | |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2026 |
| Institución: | Universidad San Ignacio de Loyola |
| Repositorio: | Revistas - Universidad San Ignacio de Loyola |
| Lenguaje: | español inglés |
| OAI Identifier: | oai:revistas.usil.edu.pe:article/2167 |
| Enlace del recurso: | https://revistas.usil.edu.pe/index.php/pyr/article/view/2167 |
| Nivel de acceso: | acceso abierto |
| Materia: | Resilience Resilient coping Psychometric properties University students Factorial invariance Resiliencia Afrontamiento resiliente Propiedades psicométricas Estudiantes universitarios Invarianza factorial |
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Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru Análisis psicométrico de la Escala Breve de Afrontamiento Resiliente (BRCS) en universitarios de Lima, Perú |
| title |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| spellingShingle |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru Alegre Bravo, Alberto Resilience Resilient coping Psychometric properties University students Factorial invariance Resiliencia Afrontamiento resiliente Propiedades psicométricas Estudiantes universitarios Invarianza factorial |
| title_short |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| title_full |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| title_fullStr |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| title_full_unstemmed |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| title_sort |
Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, Peru |
| dc.creator.none.fl_str_mv |
Alegre Bravo, Alberto |
| author |
Alegre Bravo, Alberto |
| author_facet |
Alegre Bravo, Alberto |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Resilience Resilient coping Psychometric properties University students Factorial invariance Resiliencia Afrontamiento resiliente Propiedades psicométricas Estudiantes universitarios Invarianza factorial |
| topic |
Resilience Resilient coping Psychometric properties University students Factorial invariance Resiliencia Afrontamiento resiliente Propiedades psicométricas Estudiantes universitarios Invarianza factorial |
| description |
The present study aimed to evaluate the psychometric properties of the Brief Resilient Coping Scale (BRCS) in a sample of university students from Lima, Peru. A total of 866 students participated (38.3% men and 61.7% women), aged between 18 and 50 years (M = 22.06; SD = 4.97), selected through non-probabilistic convenience sampling. The BRCS was administered online together with a sociodemographic questionnaire. Descriptive analyses showed adequate item distributions, with skewness and kurtosis indices within acceptable ranges and corrected item–total correlations above .30. Confirmatory factor analysis, estimated using the DWLS method, supported the unidimensional structure of the scale, with factor loadings ranging from .641 to .836 and excellent model fit (CFI and TLI = 1.00; RMSEA = .0016; SRMR = .005). Reliability was satisfactory (α = .751; ω = .761), and convergent validity was acceptable (AVE = .504). In addition, factorial invariance across sex and type of university was confirmed. These findings support the use of the BRCS as a brief and robust measure for assessing resilient coping, with relevant applications in research and in the design of initiatives aimed at promoting psychological well-being in university settings. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026-03-06 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.usil.edu.pe/index.php/pyr/article/view/2167 10.20511/pyr2025.v13.2167 |
| url |
https://revistas.usil.edu.pe/index.php/pyr/article/view/2167 |
| identifier_str_mv |
10.20511/pyr2025.v13.2167 |
| dc.language.none.fl_str_mv |
spa eng |
| language |
spa eng |
| dc.relation.none.fl_str_mv |
https://revistas.usil.edu.pe/index.php/pyr/article/view/2167/1992 https://revistas.usil.edu.pe/index.php/pyr/article/view/2167/2002 /*ref*/American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association. American Educational Research Association. /*ref*/Andrade, C. (2020). The limitations of online surveys. Indian Journal of Psychological Medicine, 42(6), 575–576. https://doi.org/10.1177/0253717620957496 /*ref*/Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511 /*ref*/Benavides, M., & León, J. (2019). Desigualdades educativas y trayectorias estudiantiles en la educación superior peruana. Revista Peruana de Investigación Educativa, 11(11), 7–32. https://doi.org/10.34236/rpie.v11i11.110 /*ref*/Bethlehem, J. (2010). Selection bias in web surveys. International Statistical Review, 78(2), 161–188. https://doi.org/10.1111/j.1751-5823.2010.00112.x /*ref*/Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press. /*ref*/Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). SAGE. /*ref*/Brum, M. (2024). Análisis psicométrico de la Escala Breve de Resiliencia en estudiantes universitarios de Lima Metropolitana [Tesis de licenciatura, Universidad Peruana de Ciencias Aplicadas]. Repositorio Institucional UPC. http://hdl.handle.net/10757/683174 /*ref*/Caballero-Domínguez, C. C. (2020). El papel de la resiliencia académica en la salud mental de los estudiantes universitarios. Revista Virtual Universidad Católica del Norte, 59, 105–122. https://doi.org/10.35575/rvucn.n59a7 /*ref*/Caballero-Domínguez, C. C. (2020). Estrés académico y afrontamiento en estudiantes universitarios. Revista Colombiana de Psicología, 29(2), 35–50. https://doi.org/10.15446/rcp.v29n2.78978 /*ref*/Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor–Davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019–1028. https://doi.org/10.1002/jts.20271 /*ref*/Caycho-Rodríguez, T., Ventura-León, J., García-Cadena, C. H., Barboza-Palomino, M., & Carbajal-León, C. (2020). Resiliencia y bienestar psicológico en contextos latinoamericanos: Evidencia empírica y consideraciones culturales. Interacciones, 6(2), e159. https://doi.org/10.24016/2020.v6n2.159 /*ref*/Caycho-Rodríguez, T., Ventura-León, J., García-Cadena, C. H., Tomás, J. M., Domínguez-Vergara, J., Daniel, L., & Arias-Gallegos, W. L. (2018). Evidencias psicométricas de una medida breve de resiliencia en adultos mayores peruanos no institucionalizados. Psychosocial Intervention, 27(2), 73–79. https://doi.org/10.5093/pi2018a6 /*ref*/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 /*ref*/Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness‐of‐fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5 /*ref*/Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113 /*ref*/Cueto, S., León, J., Guerrero, G., & Muñoz, I. (2016). Educación, desigualdad y pobreza en el Perú. Grupo de Análisis para el Desarrollo (GRADE). /*ref*/Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466 /*ref*/Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104 /*ref*/George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 step by step: A simple guide and reference (14th ed.). Routledge. https://doi.org/10.4324/9781315545899 /*ref*/González, R., Ramírez, M., & López, A. (2022). Impacto de la pandemia por COVID-19 en la salud mental de estudiantes universitarios: Retos y oportunidades para la educación superior. Revista Latinoamericana de Psicología, 54, 1–14. https://doi.org/10.14349/rlp.2022.v54.n1 /*ref*/Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. /*ref*/Hernández-Sampieri, R., Fernández-Collado, C., & Baptista-Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill. /*ref*/Hu, L. T., & 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 /*ref*/Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507. https://doi.org/10.1177/0049124114543236 /*ref*/Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press. /*ref*/Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer. /*ref*/Li, C.-H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936–949. https://doi.org/10.3758/s13428-015-0619-7 /*ref*/Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: Una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151–1169. https://doi.org/10.6018/analesps.30.3.199361 /*ref*/Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562. https://doi.org/10.1111/1467-8624.00164 /*ref*/Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–121. https://doi.org/10.21500/20112084.857 /*ref*/Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill. /*ref*/O’Leary, V. E., & Ickovics, J. R. (1995). Resilience and thriving in response to challenge: An opportunity for a paradigm shift in women’s health. Women’s Health, 1(2), 121–142. https://doi.org/10.1300/J013v01n02_09 /*ref*/Polk, L. V. (1997). Toward a middle-range theory of resilience. Advances in Nursing Science, 19(3), 1–13. https://doi.org/10.1097/00012272-199703000-00002 /*ref*/Sinclair, V. G., & Wallston, K. A. (2004). The Development and Psychometric Evaluation of the Brief Resilient Coping Scale. Assessment, 11(1), 94–101. doi:10.1177/1073191103258144 /*ref*/Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. doi:10.1080/10705500802222972 /*ref*/Southwick, S. M., Bonanno, G. A., Masten, A. S., Panter‐Brick, C., & Yehuda, R. (2014). Resilience definitions, theory, and challenges: Interdisciplinary perspectives. European Journal of Psychotraumatology, 5(1), 25338. https://doi.org/10.3402/ejpt.v5.25338 /*ref*/Ventura-León, J., Caycho-Rodríguez, T., Barboza-Palomino, M., & Carbajal-León, C. (2021). Estrés académico y recursos psicológicos en universitarios peruanos. Revista de Psicología (PUCP), 39(2), 489–514. https://doi.org/10.18800/psico.202102.010 /*ref*/Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, 1(2), 165–178. /*ref*/Ungar, M. (2011). The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. American Journal of Orthopsychiatry, 81(1), 1–17. https://doi.org/10.1111/j.1939-0025.2010.01067.x /*ref*/Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. https://doi.org/10.22237/jmasm/1177992180 |
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Carrera de Psicología, Universidad San Ignacio de Loyola, Lima, Perú. |
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Carrera de Psicología, Universidad San Ignacio de Loyola, Lima, Perú. |
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Propósitos y Representaciones; ##issue.vol## 13 (2025): Enero - Diciembre; e2167 Propósitos y Representaciones; Vol. 13 (2025): Enero - Diciembre; e2167 Propósitos y Representaciones. Journal of Educational Psychology; Vol. 13 (2025): January - December; e2167 2310-4635 2307-7999 10.20511/pyr2025.v13 reponame:Revistas - Universidad San Ignacio de Loyola instname:Universidad San Ignacio de Loyola instacron:USIL |
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Psychometric Analysis of the Brief Resilient Coping Scale (BRCS) in University Students from Lima, PeruAnálisis psicométrico de la Escala Breve de Afrontamiento Resiliente (BRCS) en universitarios de Lima, PerúAlegre Bravo, Alberto ResilienceResilient copingPsychometric propertiesUniversity studentsFactorial invarianceResilienciaAfrontamiento resilientePropiedades psicométricasEstudiantes universitariosInvarianza factorialThe present study aimed to evaluate the psychometric properties of the Brief Resilient Coping Scale (BRCS) in a sample of university students from Lima, Peru. A total of 866 students participated (38.3% men and 61.7% women), aged between 18 and 50 years (M = 22.06; SD = 4.97), selected through non-probabilistic convenience sampling. The BRCS was administered online together with a sociodemographic questionnaire. Descriptive analyses showed adequate item distributions, with skewness and kurtosis indices within acceptable ranges and corrected item–total correlations above .30. Confirmatory factor analysis, estimated using the DWLS method, supported the unidimensional structure of the scale, with factor loadings ranging from .641 to .836 and excellent model fit (CFI and TLI = 1.00; RMSEA = .0016; SRMR = .005). Reliability was satisfactory (α = .751; ω = .761), and convergent validity was acceptable (AVE = .504). In addition, factorial invariance across sex and type of university was confirmed. These findings support the use of the BRCS as a brief and robust measure for assessing resilient coping, with relevant applications in research and in the design of initiatives aimed at promoting psychological well-being in university settings.La presente investigación buscó valorar las propiedades psicométricas de la Escala Breve de Afrontamiento Resiliente (BRCS) en universitarios de Lima, Perú. Participaron 866 estudiantes (38.3% varones y 61.7% mujeres), cuyas edades fluctuaron entre 18 y 50 años (M=22.06; DE=4.97), fue escogidos a través del muestreo no probabilístico por conveniencia. La BRCS fue administrada en formato virtual junto con un cuestionario sociodemográfico. Los análisis descriptivos evidenciaron distribuciones adecuadas de los ítems, con índices de asimetría y curtosis dentro de las condiciones aceptables y correlaciones ítem-total corregidas superiores a .30. El análisis factorial confirmatorio, estimado mediante el método DWLS, confirmó la estructura unidimensional del instrumento, con cargas factoriales entre .641 y .836 y un ajuste excelente (CFI y TLI = 1.00; RMSEA = .0016; SRMR = .005). La confiabilidad fue adecuada (α = .751; ω = .761) y la validez convergente aceptable (AVE = .504). Asimismo, se confirmó la invarianza factorial por sexo y tipo de universidad. Estos resultados respaldan el uso de la BRCS como una medida breve y robusta para la evaluación del afrontamiento resiliente, con aplicaciones relevantes en la investigación y en el diseño de acciones dirigidas al desarrollo del bienestar psicológico en el ámbito universitario.Carrera de Psicología, Universidad San Ignacio de Loyola, Lima, Perú.2026-03-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.usil.edu.pe/index.php/pyr/article/view/216710.20511/pyr2025.v13.2167Propósitos y Representaciones; ##issue.vol## 13 (2025): Enero - Diciembre; e2167Propósitos y Representaciones; Vol. 13 (2025): Enero - Diciembre; e2167Propósitos y Representaciones. Journal of Educational Psychology; Vol. 13 (2025): January - December; e21672310-46352307-799910.20511/pyr2025.v13reponame:Revistas - Universidad San Ignacio de Loyolainstname:Universidad San Ignacio de Loyolainstacron:USILspaenghttps://revistas.usil.edu.pe/index.php/pyr/article/view/2167/1992https://revistas.usil.edu.pe/index.php/pyr/article/view/2167/2002/*ref*/American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association. American Educational Research Association./*ref*/Andrade, C. (2020). The limitations of online surveys. Indian Journal of Psychological Medicine, 42(6), 575–576. https://doi.org/10.1177/0253717620957496/*ref*/Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511/*ref*/Benavides, M., & León, J. (2019). Desigualdades educativas y trayectorias estudiantiles en la educación superior peruana. Revista Peruana de Investigación Educativa, 11(11), 7–32. https://doi.org/10.34236/rpie.v11i11.110/*ref*/Bethlehem, J. (2010). Selection bias in web surveys. International Statistical Review, 78(2), 161–188. https://doi.org/10.1111/j.1751-5823.2010.00112.x/*ref*/Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press./*ref*/Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). SAGE./*ref*/Brum, M. (2024). Análisis psicométrico de la Escala Breve de Resiliencia en estudiantes universitarios de Lima Metropolitana [Tesis de licenciatura, Universidad Peruana de Ciencias Aplicadas]. Repositorio Institucional UPC. http://hdl.handle.net/10757/683174/*ref*/Caballero-Domínguez, C. C. (2020). El papel de la resiliencia académica en la salud mental de los estudiantes universitarios. Revista Virtual Universidad Católica del Norte, 59, 105–122. https://doi.org/10.35575/rvucn.n59a7/*ref*/Caballero-Domínguez, C. C. (2020). Estrés académico y afrontamiento en estudiantes universitarios. Revista Colombiana de Psicología, 29(2), 35–50. https://doi.org/10.15446/rcp.v29n2.78978/*ref*/Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor–Davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019–1028. https://doi.org/10.1002/jts.20271/*ref*/Caycho-Rodríguez, T., Ventura-León, J., García-Cadena, C. H., Barboza-Palomino, M., & Carbajal-León, C. (2020). Resiliencia y bienestar psicológico en contextos latinoamericanos: Evidencia empírica y consideraciones culturales. Interacciones, 6(2), e159. https://doi.org/10.24016/2020.v6n2.159/*ref*/Caycho-Rodríguez, T., Ventura-León, J., García-Cadena, C. H., Tomás, J. M., Domínguez-Vergara, J., Daniel, L., & Arias-Gallegos, W. L. (2018). Evidencias psicométricas de una medida breve de resiliencia en adultos mayores peruanos no institucionalizados. Psychosocial Intervention, 27(2), 73–79. https://doi.org/10.5093/pi2018a6/*ref*/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/*ref*/Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness‐of‐fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5/*ref*/Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113/*ref*/Cueto, S., León, J., Guerrero, G., & Muñoz, I. (2016). Educación, desigualdad y pobreza en el Perú. Grupo de Análisis para el Desarrollo (GRADE)./*ref*/Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466/*ref*/Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104/*ref*/George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 step by step: A simple guide and reference (14th ed.). Routledge. https://doi.org/10.4324/9781315545899/*ref*/González, R., Ramírez, M., & López, A. (2022). Impacto de la pandemia por COVID-19 en la salud mental de estudiantes universitarios: Retos y oportunidades para la educación superior. Revista Latinoamericana de Psicología, 54, 1–14. https://doi.org/10.14349/rlp.2022.v54.n1/*ref*/Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning./*ref*/Hernández-Sampieri, R., Fernández-Collado, C., & Baptista-Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill./*ref*/Hu, L. T., & 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/*ref*/Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507. https://doi.org/10.1177/0049124114543236/*ref*/Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press./*ref*/Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer./*ref*/Li, C.-H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936–949. https://doi.org/10.3758/s13428-015-0619-7/*ref*/Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: Una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151–1169. https://doi.org/10.6018/analesps.30.3.199361/*ref*/Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562. https://doi.org/10.1111/1467-8624.00164/*ref*/Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–121. https://doi.org/10.21500/20112084.857/*ref*/Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill./*ref*/O’Leary, V. E., & Ickovics, J. R. (1995). Resilience and thriving in response to challenge: An opportunity for a paradigm shift in women’s health. Women’s Health, 1(2), 121–142. https://doi.org/10.1300/J013v01n02_09/*ref*/Polk, L. V. (1997). Toward a middle-range theory of resilience. Advances in Nursing Science, 19(3), 1–13. https://doi.org/10.1097/00012272-199703000-00002/*ref*/Sinclair, V. G., & Wallston, K. A. (2004). The Development and Psychometric Evaluation of the Brief Resilient Coping Scale. Assessment, 11(1), 94–101. doi:10.1177/1073191103258144/*ref*/Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. doi:10.1080/10705500802222972/*ref*/Southwick, S. M., Bonanno, G. A., Masten, A. S., Panter‐Brick, C., & Yehuda, R. (2014). Resilience definitions, theory, and challenges: Interdisciplinary perspectives. European Journal of Psychotraumatology, 5(1), 25338. https://doi.org/10.3402/ejpt.v5.25338/*ref*/Ventura-León, J., Caycho-Rodríguez, T., Barboza-Palomino, M., & Carbajal-León, C. (2021). Estrés académico y recursos psicológicos en universitarios peruanos. Revista de Psicología (PUCP), 39(2), 489–514. https://doi.org/10.18800/psico.202102.010/*ref*/Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, 1(2), 165–178./*ref*/Ungar, M. (2011). The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. American Journal of Orthopsychiatry, 81(1), 1–17. https://doi.org/10.1111/j.1939-0025.2010.01067.x/*ref*/Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. https://doi.org/10.22237/jmasm/1177992180Derechos de autor 2025 Propósitos y Representacioneshttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessoai:revistas.usil.edu.pe:article/21672026-03-30T16:30:30Z |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
