Exploratory and Confirmatory Validation of the Connor-Davidson Resilience Scale (CD-RISC-10) in a Sample of Individuals Registered in Job Centers

Authors

  • Maria Helena Almeida Unidade Curricular de Saúde Publica, Epidemiologia e Bioestatística. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa. https://orcid.org/0000-0001-8136-6749
  • Sara Dias Center for Innovative Care and Health Technology (ciTechCare). Health Sciences School. Instituto Politécnico de Leiria. Leiria. EpiDoc Unit - Centro de Estudo de Doenças Crónicas (CEDOC). NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa. https://orcid.org/0000-0001-6782-7481
  • Miguel Xavier Departamento de Saúde Mental. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.
  • Jorge Torgal Unidade Curricular de Saúde Publica, Epidemiologia e Bioestatística. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.

DOI:

https://doi.org/10.20344/amp.12243

Keywords:

Portugal, Psychometrics, Resilience, Psychological, Surveys and Questionnaires

Abstract

Introduction: Bonanno defined resilience as the individual’s capacity to cope with traumatic events, namely, the ability to maintain the levels of physical and psychological functioning relatively stable. The aim of this study was to evaluate the psychometric properties of 10-item Connor-Davidson resilience scale. The Connor-Davidson resilience scale short version has good psychometric qualities (Cronbach α – 0.85) when compared with the long version (Cronbach α – 0.89).
Material and Methods: We obtained a convenience sample of individuals registered in job centers which was randomly divided into two subsamples (sample 1 = 5127 and sample 2 = 5114). We applied the principal component analysis in sub-sample n1. With subsample n2 a confirmatory factorial analysis was performed using the maximum likelihood method. We used the multigroup analysis to compare the factorial model between genders and professional situation. We performed a convergent and discriminant analysis through Pearson’s correlation analysis.
Results: The principal component analysis extracted one factor with an explained variance of 53.97%. The confirmatory factor analysis confirmed the unidimensionality of the scale. The invariance between genders and professional situation was confirmed. The Connor-Davidson resilience scale correlated positively with the SF-36 scale and negatively with the GHQ-12 scale.
Discussion: The exploratory and confirmatory analysis revealed one dimension, and good psychometric properties, which is similar to the original 10-item scale.
Conclusion: To our knowledge, this is the first validation study of this scale among the Portuguese population (Portugal). Its results are highly satisfactory, and its use is recommended among the Portuguese population.

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Author Biographies

Maria Helena Almeida, Unidade Curricular de Saúde Publica, Epidemiologia e Bioestatística. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.

Médica, Mestrado em Saúde Comunitária

Assistente de Saúde Pública (U. C. de Saúde Publica, Epidemiologia e Bioestatística) na Nova Medical School - Faculdade de Ciências Médicas - Universidade Nova de Lisboa

Aluna de doutoramento em Saúde Pública - a Nova Medical School - Faculdade de Ciências Médicas - Universidade Nova de Lisboa

Médica de Saúde Pública na Unidade de saúde Púbica no ACeS Lisboa entral

Sara Dias, Center for Innovative Care and Health Technology (ciTechCare). Health Sciences School. Instituto Politécnico de Leiria. Leiria. EpiDoc Unit - Centro de Estudo de Doenças Crónicas (CEDOC). NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.

Professor at Escola Superior de Saúde do Instituto Politécnico de Leiria, where she teaches Biostatistics and Informatics Applied to Health at the undergraduate courses of Nursing, Speech Therapy, Ocupational Therapy, Dietetics and Nutrition and Physiotherapy. She is also Professor Nova Medical School, where she teaches Public Health, Epidemiology and Biostatistics. She is a member of EpiDoC research team. Her current research interests include Public Health, Epidemiology, Health Research, Biostatistics, and others.

Miguel Xavier, Departamento de Saúde Mental. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.

Subdiretor e Presidente do Conselho Científico e Professor Catedrático de Saúde Mental da NMS|FCM e Assistente Graduado Sénior de Psiquiatria no Centro Hospitalar de Lisboa Ocidental, foi nomeado Diretor do Programa Nacional de Saúde Mental, no âmbito dos programas prioritários da Direção Geral de Saúde.

Jorge Torgal, Unidade Curricular de Saúde Publica, Epidemiologia e Bioestatística. NOVA Medical School – Faculdade de Ciências Médicas. Universidade NOVA de Lisboa. Lisboa.

Professor Catedrático, jubilado em 2018, da Nova Medical School / Faculdade de Ciências Médicas (NMS/FCM) da Universidade Nova de Lisboa (UNL), onde foi Director do Departamento Universitário de Saúde Pública* desde 1998 a Outubro de 2018. Foi também Director (2000-2010) do Instituto de Higiene e Medicina Tropical.

 

Published

2020-02-03

How to Cite

1.
Almeida MH, Dias S, Xavier M, Torgal J. Exploratory and Confirmatory Validation of the Connor-Davidson Resilience Scale (CD-RISC-10) in a Sample of Individuals Registered in Job Centers. Acta Med Port [Internet]. 2020 Feb. 3 [cited 2022 Nov. 28];33(2):124-32. Available from: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/12243

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