Construção e validação de uma escala de resiliência comunitária ameaças naturais
DOI:
https://doi.org/10.22235/cp.v16i2.2723Palavras-chave:
validação de instrumento, construção de instrumentos, resiliência comunitária, gerenciamento de riscos, ameaças naturaisResumo
Antecedentes: Os efeitos causados por fenômenos naturais vêm aumentando, agravando a vulnerabilidade das populações expostas. É necessário mensurar a capacidade de resiliência da comunidade para lidar com esse tipo de situação adversa. O objetivo do estudo foi a construção e a validação de uma escala de autorrelato de resiliência comunitária. Método: Os itens foram baseados na proposta de Twigg (2007) e Suárez-Ojeda (2001). Para validação do instrumento, utilizou-se o V do AIKEN e a análise semiconfirmatória (McDonald, 2005). A amostra foi de 290 participantes, com faixa etária de 18 a 78 anos, dos municípios de Jojutla e Yautepec do Estado de Morelos (México). Resultados: Obteve-se uma escala final unidimensional composta por 16 itens, consistência interna Ω = 0,924. Conclusões: Esta escala pode ser útil para quem trabalha na gestão integral do risco de desastres.
Downloads
Referências
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45, 131-142. https://doi.org/10.1177/0013164485451012
Almutairi, A., Mourshed, M. & Mohammed, R. (2020). Coastal community resilience frameworks for disaster risk management. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural, 101(2), 595-630. https://doi.org/10.1007/s11069-020-03875-3
Alshehri, S., Rezgui, Y., & Li, H. (2015). Disaster community resilience assessment method: a consensus-based Delphi and AHP approach. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural, 78, 395-416. https://doi.org/10.1007/s11069-015-1719-5
Bonanno, G. (2008). Loss, Trauma, and Human Resilience: Have We Underestimated the Human Capacity to Thrive After Extremely Aversive Events? Psychological Trauma: Theory, Research, Practice, and Policy, 1, 101-113. https://doi.org/10.1037/0003-066X.59.1.20
Burt, C. (1948). The factorial study of temperament traits. British Journal of Psychology, Statistical Section, 1, 178-203. https://doi.org/10.1111/j.2044-8317.1948.tb00236.x
Courtney, C., Ahmed, A., Jackson, R., McKinnie, D., Rubinoff, P., Stein, A., Tighe, S., & White, A. (2008). Coastal Community Resilience in the Indian Ocean Region: Unifying framework, assessment and lessons learned. Solutions to Coastal Disasters 2008. https://doi.org/10.1061/40968(312)88
Cui, K. & Han, Z. (2019). Cross-Cultural Adaptation and Validation of the 10-Item Conjoint Community Resiliency Assessment Measurement in a Community-Based Sample in Southwest China. International Journal of Disaster Risk Science 10, 439-448. https://doi.org/10.1007/s13753-019-00240-2
Cutter, S., Barnes, L., Berry, M., Burton, C., Evans, E. & Tate, E. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18, 598-606.
Cutter, S., Burton, C., & Emrich, T. (2010). Disaster resilience indicators for benchmarking baseline conditions. Journal of Homeland, Security and Emergency Management, 7, 1-22. http://dx.doi. org/10.2202/1547-7355.1732
Darling, D. (1957). The Kolmogorov-Smirnov, Cramer-von Mises Tests. Annals of Mathematic Statistic, 28(4), 823-838. https://doi.org/10.1214/aoms/1177706788
DasGupta, R. & Shaw, R. (2015). An indicator-based approach to assess coastal communities’ resilience against climate related disasters in Indian Sundarbans. Journal Coast Conservation 19, 85-101. http://dx.doi. org/10.1007/s11852-014-0369-1
Davydov, D., Stewart, R., Ritchie, K. & Chaudieu, I. (2010). Resilience and mental Health. Clinical Psychology Review, 30(5), pp. 479-495.
De la Yncera, N. de la C. (2019). Resiliencia comunitaria frente al riesgo de desastre de origen natural en Yautepec, Morelos [Disertación doctoral, Universidad Autónoma del Estado de Morelos]. Repositorio Institucional de Acceso Abierto (RIAA) de la Universidad Autónoma del Estado de Morelos. http://riaa.uaem.mx/xmlui/handle/20.500.12055/792
DeCarlo, L. (1997). On the meaning and use of kurtosis. Psychological Methods, 2(3), 292-307. https://doi.org/10.1037/1082-989X.2.3.292
Delgado-Rico, E., Carretero-Dios, H., & Willbald, R. (2012). Content validity evidences in test development: An applied perspective. International Journal of Clinical and Health Psychology, 12(3), 449-459.
Diario Oficial de la Federación. (2014, 13 de mayo). Reglamento de la ley General de Protección Civil. https://www.dof.gob.mx/nota_detalle.php?codigo=5344324&fecha=13/05/2014
Diario Oficial de la Federación. (2017, 28 de septiembre). Declaratoria de Desastre Natural por la ocurrencia de sismo con magnitud 7.1 ocurrido el 19 de septiembre de 2017, en 33 municipios del estado de Morelos. http://www.dof.gob.mx/nota_detalle.php?codigo=5499058&fecha=28/09/2017
Escobar-Pérez, J. & Cuervo-Martínez, A. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances de Medición, 6, 27-36.
Foster, K. (2012). Resilience Capacity Index. Univ. California Berekley. http://bangportal.com/wp-content/uploads/2017/06/Resilience-Capacity-Index.pdf
GOAL. (2015). Herramienta para medir la resiliencia comunitaria ante desastres. Guía metodológica. https://dipecholac.net/docs/herramientas-proyecto-dipecho/honduras/Guia-Medicion-de-Resiliencia.pdf
Grotberg, E. (2006). ¿Qué entendemos por resiliencia? ¿Cómo promoverla? ¿Cómo utilizarla? En E. Grotberg (Ed.), La resiliencia en el mundo de hoy. Cómo superar las adversidades (pp. 17-57). Gedisa.
Haby, M., Chapman, E., Clark, R., Barreto, J., Reviez, L., & Lavis, J. (2016). What are the best methodologies for rapid reviews of the research evidence for evidence-informed decision making in health policy and practice: a rapid review. Health Research Policy and Systems, 14(83), 1-12. https://doi.org/10.1186/s12961-016-0155-7
Henze, N. & Zirkler, B. (1990). A class of invariant consistent tests for multivariate normality. Communications in Statistics – Theory and Methods, 19(10), 3595-3618. https://doi.org/10.1080/03610929008830400
Joerin, J., Shaw, R., Takeuchi, Y., & Krishnamurthy, R. (2014). The adoption of a Climate Disaster Resilience Index in Chennai, India. Desastres, 38, 540-561. https://doi.org/10.1111/disa.12058
Korkmaz, S., Goksuluk, D., & Zararsiz, G. (2014). MVN: An R package for assessing multivariate normality. The R Journal, 6(2), 151-162.
Lam, N., Reams, M., Li, K., Li, C., & Mata, L. (2016). Measuring Community Resilience to Coastal Hazards along the Northern Gulf of Mexico. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural, 17(1), 04015013. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000193
Lindberg, K. & Swearing, T. (2020). A Reflective Thrive‐Oriented Community Resilience Scale. American Journal of Community Psychology, 65(3-4), 467-478. https://doi.org/10.1002/ajcp.12416
López, F. & Limón, F. (2017) Componentes del proceso de resiliencia comunitaria: conocimientos culturales, capacidades sociales y estrategias organizativas. PSIENCIA. Revista Latinoamericana de Ciencia Psicológica. 9(3), 1-13.
Lorenzo, A. (2016, 7-11 de noviembre). El entrenamiento histórico cultural como verdadero potenciador de la readaptación psicosocial para la promoción de salud y bienestar en el Caribe a comunidades damnificadas por desastres [Ponencia]. Caribbean Regional Conference of Psychology 2016, Puerto Príncipe, Haití.
Lorenzo-Seva, U. & Ferrando, P. (2006). Factor 10.10. [Software gratuito]. Departamento de Psicología Universitat Rovira I Virgili. https://psico.fcep.urv.cat/utilitats/factor/Download.html
Lorenzo-Seva, U. & Ten Berge, J. (2006). Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology, 2, 57-64. https://doi.org/10.1027/1614-2241.2.2.57
Lüdecke, D., Ben-Shachar, M. S., & Makowski, D. (2020). Describe and understand your model’s parameters. CRAN. https://easystats.github.io/parameters. 10.5281/zenodo.3731932
Luthar, S. & Cicchetti, D. (2000). The construct of resilience: implications for interventions and social policies. Development & Psychopathology, 12(4), 857-885. https://doi.org/10.1017 / s0954579400004156
Mahalanobis, P. (1936). On the generalised distance in statistics. Sankhya A, 80(S1), 1-7. https://doi.org/10.1007/s13171-019-00164-5
Martínez, R., Moreno, R., Martin, I., & Trigo, M. (2009). Evaluation of five guidelines for option development in multiple-choice item-writing. Psicothema, 21(2), 326-330.
Mayunga, J. (2009). Measuring the Measure; a Multidimensional Scale Model to Measure Community Disaster Resilience in the U. S. Gulf Coast Region [Disertación doctoral, Texas A & M University]. OAKTrust digital repository at Texas A & M. https://oaktrust.library.tamu.edu/handle/1969.1/ETD-TAMU-2009-05-769
McCaul, B. & Mitsidou, A. (2016). Análisis de la Resiliencia de las comunidades ante desastres. Caja de herramientas ARC-D. Manual de guía al usuario (2ª ed.). GOAL. http://resiliencenexus.org/wp-content/uploads/2020/05/ARC-DToolkitUserManualB01_SPANISH_Version_A03.pdf
McDonald, R. (2005). Semi confirmatory factor analysis: the example of anxiety and depression. Structural Equation Modeling: A Multidisciplinary Journal, 12(1), 163-172. https://doi.org/10.1207/s15328007sem1201_9
Merino-Soto, C. & Livia, J. (2009). Intervalos de confianza asimétricos para el índice la validez de contenido: Un programa Visual Basic para la V de Aiken. Anales de Psicología, 25(1), 169-171.
Merino-Soto, C. (2016). Percepción de la claridad de los ítems: comparación del juicio de estudiantes y jueces-expertos. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 14(2), 1469-1477. https://doi.org/10.11600/1692715x.14239120615
Merino-Soto, C. (2018). Confidence interval for difference between coefficients of content validity (Aiken's V): a SPSS syntax. Anales de Psicología, 34(3), 587-590. https://dx.doi.org/10.6018/analesps.34.3.283481
Miles, S. & Chang, S. (2008, 12-17 de octubre). Resil US: modeling community capital loss and recovery [Conferencia]. The 14th World Conference on Earthquake Engineering, Beijing, China. http://www.iitk.ac.in/nicee/wcee/article/14_09-01-0095.PDF
Orencio, P. & Fujii, M. (2013). A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP). International Journal Disaster Risk Reduction, 3, 62-75. http://dx.doi.org/10.1016/j.ijdrr.2012.11.006
Parsons, M., Morley, P., Marshall, G., Hastings, P., Stayner, R., & Mcneill, J. (2016). The Australian Natural Disaster Conceptual Framework and Indicator Approach. Bushfire and Natural Hazards Cooperative Research Centre University of New England. http://www.preventionweb.net/publications/view/49081
Peacock, W., Merrell, A., Zahran S., Harriss, R., & Stickney, R. (2010). Advancing the Resilience of Coastal Localities: Developing, implementing and sustaining the uses of Coastal Resilience Indicator: A final report. Hazard Reduction and Recovery Centre. https://www.researchgate.net/profile/Walter-Peacock/publication/254862206_Final_Report_Advancing_the_Resilience_of_Coastal_Localities_10-02R/links/00b7d51feb3e3d0d4a000000/Final-Report-Advancing-the-Resilience-of-Coastal-Localities-10-02R.pdf
Pfefferbaum, R., Pfefferbaum, B., Horn, R., Klomp, R., Norris, F., & Reissman, D. (2013). The Communities Advancing Resilience Toolkit (CART): An Intervention to build Community Resilience to Disaster. Journal of public health management and practice, 19(3), 250-258. https://doi.org/10.1097/PHH.0b013e318268aed8
Raiche, G. & Magis, D. (2020). nFactors: parallel analysis and other non-graphical solutions to the Cattell Scree Test. R package version 2.4.1. https://CRAN.R-project.org/package=nFactors
Renschler, C., Frazier, A., Arendt, L., Cimellaro, G., & Bruneau, M. (2010). A Framework for Defining and Measuring Resilience at the Community Scale. The PEOPLES resilience framework (Technical Report MCEER-10-0006). University at Buffalo. https://www.eng.buffalo.edu/mceer-reports/10/10-0006.pdf
Revelle, W. (2019). Psych: Procedures for personality and psychological research [Archivo]. Northwestern University, Illinois, Estados Unidos. https://CRAN.R-project.org/package=psych.
Shaw, R. (2009). Climate disaster resilience: focus on coastal urban cities in Asia. International Environment and Disasters Management, 1, 1-15.
Sherrieb, K., Norris, F., & Galea, S. (2010). Measuring capacities for community resilience. Social Indicator Research, 99, 227-247. https://doi.org/10.1007/s11205-010-9576-9
Singh, G. & Kaur, G. H. (2018) Moderating effect of resilience on role stress: a critical review. ZENITH International Journal of Multidisciplinary Research, 8(1), 114-122.
Suárez-Ojeda, E. (2001). Una concepción Latinoamérica: La Resiliencia Comunitaria. En A. Melillo (Ed.), Resiliencia. Descubriendo las propias fortalezas (pp.67-82). Paidós.
Summers, K., Harwell, L., Smith, L., & Buck, K. (2018). Measuring Community Resilience to Natural Hazards: The Natural Hazard Resilience Screening Index (NaHRSI)-Development and Application to the United States. Geohealth, 2(12), 372-394. https://doi.org/10.1029/2018GH000160
Twigg, J. (2007). Características de una comunidad Resiliente ante los desastres, una nota guía. https://www.eird.org/newsroom/Spanish_Characteristics_disaster_high_res.pdf
United Nations Development Program. (2013). Community Based Resilience Assessment (CoBRA) Conceptual Framework and Methodology.
United Nations Office for Disaster Risk Reduction. (2007). Hyogo Framework for Action 2005-2015: Building the resilience of nations and communities to disasters. https://www.undrr.org/publication/hyogo-framework-action-2005-2015-building-resilience-nations-and-communities-disasters
United Nations Office for Disaster Risk Reduction. (2020). Human cost of Disaster, An overview of the last 20 years 2000-2019. The United Nations Office for Disaster Risk Reduction. https://www. CRED-Disaster-Report-Human-Cost2000-2019.pdf
Verrucci, E., Rossetto, T., Twigg, J., & Adams, B. J. (2012, septiembre). Multi-disciplinary indicators for evaluating the seismic resilience of urban areas [Conferencia]. Proceedings of 15th world conference earthquake engineering, Lisboa, Portugal. https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_3490.pdf
Yoon, D., Kang, J., & Brody, S. D. (2015). A Measurement of Community Disaster Resilience in Korea, Journal of Environmental Planning and Management, 59(3), 436-460. https://doi.org/10.1080/09640568.2015.1016142
Zurich Flood Resilience Alliance. (2019). La medición de la Resiliencia de las Comunidades ante las Inundaciones (FRMC). https://infoinundaciones.com/medicion-de-la-resiliencia-comunitaria-ante-inundaciones/
Downloads
Publicado
Como Citar
Edição
Secção
Licença
Direitos de Autor (c) 2022 Universidad Católica del Uruguay
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.
