Validación de las propiedades psicométricas de la escala breve de estrategias resilientes en adultos colombianos

datacite.rightshttp://purl.org/coar/access_right/c_abf2eng
dc.contributor.authorTrejos-Herrera, Ana M.
dc.contributor.authorAlarcón-Vásquez, Yolima
dc.contributor.authorBahamón, Marly J.
dc.contributor.authorVinnacia, Stefano
dc.contributor.authorGonzález Gutiérrez, Orlando
dc.contributor.authorLlinás Solano, Humberto
dc.contributor.authorQuevedo-Barrios, Daniela
dc.date.accessioned2023-09-07T20:29:04Z
dc.date.available2023-09-07T20:29:04Z
dc.date.issued2023
dc.description.abstractLa resiliencia es la competencia de afrontamiento y adaptación a las condiciones estresantes que puede experimentar una persona. Se puede expresar a través de varias estrategias como el optimismo, la perseverancia, la creatividad y el crecimiento positivo frente a la adversidad. Esta investigación tuvo como objetivo analizar las propiedades psicométricas de la Escala Breve de Estrategias Resilientes (BRCS) en población adulta colombiana. La muestra estuvo conformada por 456 adultos colombianos (41.7 % hombres y 58.3 % mujeres) entre los 18 y los 86 años (M = 46.99). El coeficiente de fiabilidad para el puntaje total de las dos subescalas de la BRCS fue de .77. Se corroboró la validez del constructo a través de la bondad de ajuste del modelo de un factor y la correlación entre los cuatro ítems, por el que se confirmó la estructura del modelo propuesto por Sinclair y Wallston (2004). Se analizó la validez concurrente con medidas de afrontamiento religioso y personalidad Tipo D. Se efectuó un análisis de la discriminación de los reactivos a través del coeficiente de correlación biserial, que indicó que las correlaciones del ítem con la escala total tienen un nivel de discriminación excelente, con valores entre .740 y .807. Los resultados muestran correlaciones significativas entre la resiliencia y el afrontamiento religioso positivo, índices de confiabilidad interna aceptables y consistencia interna, dados los índices del análisis factorial confirmatorio. Se concluye que la evidencia sugiere que la escala BRCS es un instrumento válido y confiable para la evaluación de la capacidad de resiliencia en adultos colombianos.spa
dc.description.abstractResilience is the ability to cope and adapt to stressful situations that a person may expe rience. This ability can be expressed through several strategies such as optimism, perse verance, creativity, and positive growth from adversity. Considering the few studies on this subject in the Latin American context and, therefore, the difficulties in evaluating resil ient strategies in adults, this research consid ered to analyze the psychometric character istics of the Brief Resilient Strategies Scale (BRCS). This study aimed to analyze the psychometric properties of the “Brief Resil ient Coping Scale (BRCS)” in the Colombian adult population. The sample consisted of 456 Colombian adults (41.7 % men and 58.3 % women) between 18 and 86 years old (M = 46.99). The reliability coefficient for the total score of the two BRCS subscales was .77. The construct validity was confirmed by goodness of fit results for applying a one-factor model to the scale and the correlation between the four items, confirming the structure of the model proposed by Sinclair y Wallston (2004), the initial solution of a factor was confirmed, with the same items loading the same factor and with factorial weights greater than .3. Likewise, all the values of the goodness of fit indices are within the accepted ranges for a good fit of the model. That is, the data fit the factorial model well. The concurrent validity was analyzed with measures of religious coping and type D personality. Positive correlations of the BRCS scale were found with positive reli gious coping of the RCOPE, indicating that a greater resilience, more expression of a sense of spirituality. In the same way, the BRCS scale correlates with the DS-14 scale, indi cating that a greater resilience, less tendency to experience negative emotions such as dysphoria, tension, worry, irritability, and anger more extensively over time. In addi tion, the correlations indicated that a higher resilience, lower vulnerability to psycholog ical stress with experiences of strong negative emotions and inhibition of their expression in interaction with other people. The results of the criterion validity suggest that people who use resilient strategies and religious coping are protective factors for the physical and mental health of the adult population, in such a way that people with higher levels of resilience may have a greater expression of a sense spir itual. Likewise, the most resilient subjects use variables such as satisfaction with life, humor, perceived personal competence, optimism, among others, indicative of a heightened sense of internal coherence. Also, the subjects who demonstrated greater resilience capacity were less vulnerable to experiencing negative affect and social inhibition. In general terms, these results suggest that the use of resilient strategies is related to constructs that are theo retically expected from a clinical and mental health perspective. The results show signifi cant correlations between resilience and posi tive religious coping, acceptable internal reli ability indices and internal consistency given the confirmatory factor analysis indices. An item discrimination analysis was performed through the biserial correlation coefficient, the correlations of the item with the total scale have an excellent level of discrimination, with values between .740 and .807. For data analysis, IBM SPSS Software®, Version 25, the R for Statistical Computing program (R Project, 2019) and LISREL 8.80 was used. The evidence suggests that the BRCS scale is a valid and reliable instrument for assessing resilience capacity in Colombian adults. In general, it was found that the BRCS has good psychometric properties in the various coun tries where it has been evaluated, for all the population groups analyzed, with only signifi cant differences between men and women. Keywords: resilient strategies, psychometric properties BRCS Scale.eng
dc.format.mimetypepdfeng
dc.identifier.doihttps://doi.org/10.16888/interd.2023.40.2.28
dc.identifier.issn16687027
dc.identifier.urihttps://hdl.handle.net/20.500.12442/13250
dc.language.isospaeng
dc.publisherCentro Interdisciplinario de Investigaciones en Psicología Matemática y Experimental - Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)spa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceInterdisciplinaria. Revista de Psicología y Ciencias afinesspa
dc.sourceVol 40, No 2 (2023)
dc.subjectEstrategias resilienteseng
dc.subjectPropiedades psicométricasspa
dc.subjectEscala BRCSspa
dc.titleValidación de las propiedades psicométricas de la escala breve de estrategias resilientes en adultos colombianosspa
dc.title.translatedValidation of the psychometric properties of the Brief Resilient Coping Scale (BRCS) in Colombian adultseng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.spaArtículo científicospa
dcterms.referencesAgencia de la ONU para los refugiados ACNUR. (2018). Hay más víctimas de desplazamiento forzado en Colombia qué número de habitantes en Costa Rica. Ginebra, Suiza. https://www. acnur.org/noticias/noticia/2018/12/5c243ef94/ hay-mas-victimas-de-desplazamiento-forza do-en-colombia-que-numero-de-habitantes. htmlspa
dcterms.referencesBelo, P., Pocinho, R. y Rodrigues, J. (2016). Testing the BRCS structure through a multi group analysis. Research in Psychology and Behavioral Sciences, 4(1), 15-18. https://doi. org/10.12691/rpbs-4-1-3eng
dcterms.referencesCaycho-Rodríguez, T., Ventura-León, J., García-Cadena, C. H., Tomás, J. M., Domín guez-Vergara, J., Daniel, L. y Arias-Gallegos, W. L. (2018). Evidencias psicométricas de una medida breve de resiliencia en adultos mayores peruanos no institucionalizados. Psychoso cial Intervention, 27(2), 73-79. https://doi. org/10.5093/pi2018a6spa
dcterms.referencesCampbell-Sills, L. y 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.20271eng
dcterms.referencesCheung, G. y Rensvold, R. (2002). Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233-255. https://doi.org/10.1207/ S15328007SEM0902_5eng
dcterms.referencesConnor, K. M. y Davidson, J. R. (2003). Devel opment of a new resilience scale: The Conn Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76-82. https// doi.org/10.1002/da.10113eng
dcterms.referencesCortina, J. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104. https://doi.org/10.1037/0021-9010.78.1.98eng
dcterms.referencesDenollet, J. (2000). Type D personality: A poten tial risk factor refined. Journal of Psycho somatic Research, 49, 255-266. https://doi. org/10.1016/s0022-3999(00)00177-xeng
dcterms.referencesDenollet J. (2005). DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosomatic medi cine, 67(1), 89–97. https://doi.org/10.1097/01. psy.0000149256.81953.49eng
dcterms.referencesDenollet, J. y Conraads, V. M. (2011). Type D personality and vulnerability to adverse outcomes in heart disease. Cleveland Clinic Journal Of Medicine, 78. https://doi. org/10.3949/ccjm.78.s1.02eng
dcterms.referencesDenollet, J., Sys, S. U. y Brutsaert, D. L. (1995). Personality and mortality after myocardial infarction. Psychosomatic Medicine, 57(6), 582–591. https://doi.org/10.1097/00006842- 199511000-00011eng
dcterms.referencesDíaz-Castillo, R., González-Escobar, S., González-Arratia, N. I., López-Fuentes, M. M. L. L. y Montero-López, L. (2017). Resiliencia en adultos mayores: estudio de revisión. Neurama, 4(2), 22-9. https://www. researchgate.net/profile/Ricardo-Diaz-Castillo/publication/326188717_Resiliencia_ en_adultos_mayores_estudio_de_revision/ links/5b3cfb4c4585150d23fdcb20/Resiliencia-en-adultos-mayores-estudio-de-revision. pdfspa
dcterms.referencesDyer, J. G. y McGuinness, T. M. (1996). Resil ience: Analysis of the concept. Archives of psychiatric nursing, 10(5), 276-282. https:// doi.org/10.1016/S0883-9417(96)80036-7eng
dcterms.referencesFornell, C. y 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/10.2307/3151312eng
dcterms.referencesGallardo-Peralta, L. y Sánchez-Moreno, E. (2020). Espiritualidad, religiosidad y síntomas depresivos en personas mayores del norte de Chile. Terapia psicológica, 38(2), 169-187. https:// doi.org/10.4067/S0718-48082020000200169spa
dcterms.referencesGarmezy, N. (1991). Resilience in children’s adaptation to negative life events and stressed environments. Pediatric Annals, 20(9), 459-466. https://doi.org/10.3928/0090-4481- 19910901-05eng
dcterms.referencesGerbing, D. W. y Anderson, J. C. (1992). Evaluations of goodness of fit indices for structural equation models. Sociological Methods and Research, 21(2), 132-160. https://doi. org/10.1177/0049124192021002002eng
dcterms.referencesHair, J., Anderson, R., Tatham, R. y Black, W. (1999). Análisis multivariante. Prentice Hall Iberiaspa
dcterms.referencesHinkle, D. E., Wiersma, W. y Jurs, S. G. (2003). Applied Statistics for the Behavioral Sciences (5th ed.).eng
dcterms.referencesHu, L. y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidis ciplinary Journal, 6(1), 1-55. https://doi. org/10.1080/10705519909540118eng
dcterms.referencesKaratsoreos, I. N. y McEwen, B. S. (2013). Annual research review: The neurobiology and physiology of resilience and adaptation across the life course. Journal of Child Psychology and Psychiatry and Allied Disciplines, 54(4), 337–347. https://doi.org/10.1111/jcpp.12054eng
dcterms.referencesKocalevent, R. D., Zenger, M., Hinz, A., Klapp, B. y Brähler, E. (2017). Resilient coping in the general population: standardization of the brief resilient coping scale (BRCS). Health and quality of life outcomes, 15, 251. https://doi. org/10.1186/s12955-017-0822-6eng
dcterms.referencesLimonero, J. T., Tomás-Sábado, J., Gómez-Romero, M. J., Maté-Méndez, J., Sinclair, V. G., Wallston, K. A. y Gómez-Benito, J. (2014). Evidence for validity of the brief resilient coping scale in a young Spanish sample. The Spanish journal of psychology, 17(e34), 1-9. https://doi.org/10.1017/sjp.2014.35eng
dcterms.referencesLópez-Pina, J. A., Meseguer-Henarejos, A. B., Gascón-Cánovas, J. J., Navarro-Villalba, D. J., Sinclair, V. G. y Wallston, K. A. (2016). Measurement properties of the brief resilient coping scale in patients with systemic lupus erythematosus using rasch analysis. Health and quality of life outcomes, 14, 128. https:// doi.org/ 10.1186/s12955-016-0534-3eng
dcterms.referencesLord, F. M. y Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley Publishing Compaeng
dcterms.referencesLuthar, S. S., Crossman, E. J. y Small, P. J. (2015). Resilience and adversity. En Lerner R (Ed.) Handbook of Child Psychology and Developmental Science. (pp. 247-386). Wileyeng
dcterms.referencesMasten, A. S. (2007). Resilience in developing systems: progress and promise as the ourth wave rises. Development and Psychopathology, 19(3), 921-930. https://doi.org/10.1017/ S0954579407000442eng
dcterms.referencesMcDonald, R. (1999). Test Theory: a Unified Treatment. Mahwah, NJ: Lawrence Erlbaum Associates.eng
dcterms.referencesMontero, P., Bermúdez, J. y Rueda, B. (2017). Adaptación al castellano de la Escala DS-14 («Type D Scale-14») para la medida de la personalidad tipo D. Revista de Psicopatología y Psicología Clínica, 22, 55-67. https://doi. org/10.5944/rppc.vol.22.num.1.2017.16585spa
dcterms.referencesMoret-Tatay, C., Fernández-Muñoz, J. J., Civera-Mollá, C., Navarro-Pardo, E. y Alcover-de la-Hera, C. (2015). Psychometric properties and Factor structure of the BRCS in an elderly Spanish sample. Anales de Psicología/Annals of Psychology, 31(3), 1030-1034. https://doi. org/10.6018/analesps.31.3.18840eng
dcterms.referencesMulatiere, S. D. P. y Gutiérrez-Marco, M. E. (2017). Análisis factorial confirmatorio de la escala BRCS en jóvenes universitarios. Nereis: revista iberoamericana interdisciplinar de métodos, modelización y simulación, 9, 91-94. https://dialnet.unirioja.es/servlet/articulo?co digo=6041046spa
dcterms.referencesNavarro-Pardo, E., Fernández-Muñoz, J. J., Vázquez-Martínez, A., Vázquez-Molina, J., Moret, C. M. T. y Civera-Mollá, C. (2015). Resilience and the aging process: Assessment tools and needs. Procedia-Social and Behavioral Sciences, 191(2), 2008-2011.eng
dcterms.referencesNunnally, J.C. (1978) Psychometric theory. 2nd Edition, McGraw-Hilleng
dcterms.referencesPargament, K (1997) The Psychology of Religion and Coping. Theory, research, practice. The Guilford Presseng
dcterms.referencesPargament, K., Smith, B., Koenig, H. y Pérez, L. (1998). Patterns of positive and negative religious coping with major life stressors. Journal for the Scientific Study of Religion, 37(4), 710–724. https://doi.org/10.2307/1388152eng
dcterms.referencesPargament, K. I., Koenig, H.G. y Pérez, L.M. (2000). The Many Methods of Religious Coping: Development and Initial Validation of the RCOPE. Journal of clinical psychology, 56(4), 519-543. https://doi.org/10.1002/ (SICI)1097-4679(200004)56:4%3C519::AIDJCLP6%3E3.0.CO;2-1eng
dcterms.referencesPargament, K., Murray-Swank, N., Magyar, G. y Ano, Gene (2005). Spiritual Struggle: A Phenomenon of Interest to Psychology and Religion. In W. R. Miller & H. D. Delaney (Eds.), Judeo-Christian perspectives on psychology: Human nature, motivation, and change (pp. 245–268). American Psychological Association. https://doi.org/10.1037/10859-013eng
dcterms.referencesPargament, K., Smith, B., Koenig, H. y Pérez, L. (1998). Patterns of positive and negative religious coping with major life stressors. Journal for the Scientific Study of Religion, 37(4), 710–724. https://doi.org/10.2307/1388152eng
dcterms.referencesPedersen, S. S. y Denollet, J. (2006). Is Type D Personality Here to Stay? Emerging evidence across cardiovascular disease patients groups. Current Cardiology Reviews, 2(3), 205-213. https://doi.org/10.2174/157340306778019441eng
dcterms.referencesPedersen, S. S., Herrmann-Lingen, C., De Jonge, P. & Scherer, M. (2010). Type D personality is a predictor of poor emotional quality of life in primary care heart failure patients indepen dent of depressive symptoms and New York Heart Association functional class. Journal of Behavioral Medicine, 33, 72-80. https://doi. org/10.1007/s10865-009-9236-1eng
dcterms.referencesPolk, L. (1997). Toward a middle-range theory of resilience. Advances in Nursing Science, 19(3), 1–13. https://doi.org/10.1097/00012272-199703000-00002eng
dcterms.referencesR Project (2019). The R Project for Statistical Computing. https://www.r-project.org/eng
dcterms.referencesReyes-Rodríguez, M., Cujiño-Medrano, M., Cano-Santana, D., Orozco-Barragán, S., Pereira-Morales y Díaz-Trujillo, M. (2020). Afrontamiento y viudez en la vejez: Estudio mixto en población colombiana. Interdisciplinaria, 37(1), 113-127. https://doi.org/10.16888/ interd.2020.37.1.7spa
dcterms.referencesRibeiro, J. L. y Morais, R. (2010). Adaptação portuguesa da escala breve de coping resiliente. Psicologia, saúde & doenças, 11, 5-13. https://www.redalyc.org/ pdf/362/36219018001.pdfpor
dcterms.referencesRivera-Ledesma, A. y Montero-López, M. L. (2014). Ajuste psicológico y vida religiosa en adultos mayores. Universitas Psychologica, 13(3), 15-26. https://www.redalyc.org/articulo. oa?id=64733438007spa
dcterms.referencesRiveros, F., Bernal, L., Bohórquez, D., Vinaccia, S y Quiceno, J. M. (2017). Análisis psicométrico del Connor-Davidson Scale (CD-RISC10) en población Universitaria Colombiana. Psicología desde el Caribe, 34(3), 161-171. https:// doi.org/10.14482/psdc.33.2.72785spa
dcterms.referencesRiveros, F., Bernal, L., Vinaccia, S., Bohórquez, D. y Quiceno J. M. (2016). Análisis psicométrico del Connor-Davidson Scale (CD-RISC10) en población colombiana con enfermedad crónica. Salud & Sociedad, 7(2), 130-137. https://doi. org/10.14482/psdc.33.2.72785spa
dcterms.referencesSapienza, J. K. y Masten, A. S. (2011). Understanding and promoting resilience in children and youth. Current Opinion in Psychiatry, 24(4), 267–273. https://doi.org/10.1097/ YCO.0b013e32834776a8eng
dcterms.referencesSchermelleh-Engel, K., y Moosbrugger, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74. https:// psycnet.apa.org/record/2003-08119-003eng
dcterms.referencesSinclair, V. G. y Wallston, K. A. (2004). The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment, 11(1), 94–101. https://doi.org/10.1177/1073191103258144eng
dcterms.referencesSoriano, J. y Monsalve, V. (2019). Perfiles de personalidad y resiliencia en dolor crónico: utilidad del CDRISC-10 para discriminar los tipos resiliente y vulnerable. Revista de la Sociedad Española del Dolor, 26(2), 72-80. https://doi. org/10.20986/resed.2018.3670/2018spa
dcterms.referencesTomás, J. M., Meléndez, J. C., Sancho, P. y Mayordomo, T. (2012). Adaptation and initial validation of the BRCS in an elderly Spanish sample. European Journal of Psychological Assessment, 28, 283–289. https://doi. org/10.1027/1015-5759/a000108eng
dcterms.referencesTrizano-Hermosilla, I. y Alvarado, J. M. (2016). Best Alternatives to Cronbach’s Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements. Frontiers in Psychology, 7, 769. https://doi.org/10.3389/ fpsyg.2016.00769eng
dcterms.referencesWagnild, G. (2003) Resilience and successful aging. Comparison among low and high income older adults. Journal of Gerontological Nursing, 29(12), 42-49. https://doi. org/10.3928/0098-9134-20031201-09eng
dcterms.referencesWelch, S. y Comer, J. C. (1988). Quantitative methods for public administration: Techniques and applications. Dorsey Press.eng
dcterms.referencesWindle, G., Bennet, K. y Noyes, J. (2011). A meth odological review of resilience measurement scales, Health and Quality of Life Outcomes, 9(1), 1-18. https://doi.org/10.1186/1477-7525- 9-8eng
dcterms.referencesWu, G., Feder, A., Cohen, H., Kim, J. J., Calderon, S., Charney, D. S. y Mathe, A. A. (2013). Understanding resilience. Frontiers in Behavioral Neuroscience, 7(10). https://doi.org/10.3389/ fnbeh.2013.00010eng
dcterms.referencesYang, Y. y Green, S. B. (2011). Coefficient Alpha: a reliability o efficient for the 21st Century? Journal of Psychoeducational Assessment, 29(4), 377–392. https://doi. org/10.1177/0734282911406668eng
dcterms.referencesYoffe, L. (2007). Psicodebate. Psicología, Cultura y Sociedad, 7, 193-206. https://doi. org/10.18682/pd.v7i0.435spa
dcterms.referencesYu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. [Tesis doctoral no publicada. University of California]. http://www.statmodel.com/download/ Yudissertation.pdf.eng
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