Examining the factor structure of the Connor-Davidson Resilience Scale (CD-RISC) in a post-9/11 U.S. military veteran sample.

Abstract

The present study examined the structural validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC) in a large sample of U.S. veterans with military service since September 11, 2001. Participants (N = 1,981) completed the 25-item CD-RISC, a structured clinical interview and a self-report questionnaire assessing psychiatric symptoms. The study sample was randomly divided into two subsamples: an initial sample (Sample 1: n = 990) and a replication sample (Sample 2: n = 991). Findings derived from exploratory factor analysis (EFA) did not support the five-factor analytic structure as initially suggested in Connor and Davidson's instrument validation study. Although parallel analyses indicated a two-factor structural model, we tested one to six factor solutions for best model fit using confirmatory factor analysis. Results supported a two-factor model of resilience, composed of adaptability- (8 items) and self-efficacy-themed (6 items) items; however, only the adaptability-themed factor was found to be consistent with our view of resilience-a factor of protection against the development of psychopathology following trauma exposure. The adaptability-themed factor may be a useful measure of resilience for post-9/11 U.S. military veterans.

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Citation

Published Version (Please cite this version)

10.1177/1073191114524014

Publication Info

Green, Kimberly T, Laura C Hayward, Ann M Williams, Paul A Dennis, Brandon C Bryan, Katherine H Taber, Education and Clinical Center Workgroup Mid-Atlantic Mental Illness Research, Jonathan RT Davidson, et al. (2014). Examining the factor structure of the Connor-Davidson Resilience Scale (CD-RISC) in a post-9/11 U.S. military veteran sample. Assessment, 21(4). pp. 443–451. 10.1177/1073191114524014 Retrieved from https://hdl.handle.net/10161/13044.

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Scholars@Duke

Dennis

Paul Anthony Dennis

Associate Professor in Population Health Sciences

Developmental psychologist, statistician, and data scientist. Research focused on cardiovascular risk associated with psychiatric illness and trauma exposure, intraindivdiual variability in symptoms and affect, and the use of mobile apps and devices for health and behavior monitoring and interventions. Interest in longitudinal and repeated-measures analyses, mediation analyses, machine learning, and applications to administrative healthcare data.

Calhoun

Patrick Shields Calhoun

Professor in Psychiatry and Behavioral Sciences

I specialize in the assessment and treatment of the psychological and behavioral sequelae of posttraumatic stress disorder (PTSD) including the use of cognitive-behavioral interventions to reduce PTSD symptoms, aggression, and substance misuse.

 Research interests

  • The psychological, behavioral, and health consequences of traumatic stress
  • Health services research related to PTSD and associated behavioral difficulties
  • Identification of innovative health behavior change interventions to reduce smoking, alcohol, and drug misuse
  • Implementation Science
  • Psychometric assessment and methodology

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