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

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Date
2014-08
Authors
Green, Kimberly T
Hayward, Laura C
Williams, Ann M
Dennis, Paul A
Bryan, Brandon C
Taber, Katherine H
Mid-Atlantic Mental Illness Research, Education and Clinical Center Workgroup
Davidson, Jonathan RT
Beckham, Jean C
Calhoun, Patrick S
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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.
Type
Journal article
Subject
Connor–Davidson Resilience Scale
exploratory factor analysis
military
psychometric testing
Adaptation, Psychological
Adult
Depressive Disorder, Major
Factor Analysis, Statistical
Female
Humans
Interview, Psychological
Male
Psychometrics
Reproducibility of Results
Resilience, Psychological
Stress Disorders, Post-Traumatic
Surveys and Questionnaires
Terrorism
United States
Veterans
Permalink
https://hdl.handle.net/10161/13044
Published Version (Please cite this version)
10.1177/1073191114524014
Publication Info
Green, Kimberly T; Hayward, Laura C; Williams, Ann M; Dennis, Paul A; Bryan, Brandon C; Taber, Katherine H; ... Calhoun, Patrick S (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.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Beckham

Jean Crowell Beckham

Professor in Psychiatry and Behavioral Sciences
Interest in assessment and treatment of trauma, particularly as occurs for both women and men during military service; focus in treatment outcome of differential and collective contribution for psychopharmacological and behavioral interventions in PTSD populations; long term physical health effects of chronic posttraumatic stress disorder.
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 innova

Jonathan R.T. Davidson

Professor Emeritus of Psychiatry and Behavioral Sciences
Currently, my research focuses upon the theoretical aspects of homeopathy and its clinical utilization, as well as the broader field of alternative (complementary) medicine. this is a field which has traditionally been overlooked as a legitimate scientific discipline. Other areas of activity are as in the past, i.e., clinical treatment, epidemiology, risk factors, pathogenesis of posttraumatic stress, social phobia, other anxiety status, and depression. These are illustrated by recent pu
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.
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