142nd APHA Annual Meeting and Exposition

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305816
Psychometric properties of Connor-Davidson Resilience Scale in a sample of military active duty service members

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Wednesday, November 19, 2014

Salvatore Libretto, PhD , Military Medicine Research, Samueli Institute, Alexandria, VA
Weimin Zhang, PhD , Military Medical Research Programs, Samueli Institute, Alexandria, VA
Resilience is a dynamic process in which the individual displays positive adaptive skills despite experiencing signifi cant traumatic adversity; it is a measure of the ability to cope with stress. Connor-Davidson Resilience Scale (CD-RISC) is  a measurement of resilience, which is composed of 25 items rated on a 5-point scale (0-4), with higher scores reflecting greater resilience.  This study analyzes the psychometric properties of the Connor and Davidson Resilience Scale (CD-RISC) in a sample of active duty service members in treatment for Post-Traumatic Stress Disorder

Method: A survey research method was used. The participants were active duty service members in treatment for Post-Traumatic Stress Disorder. Interviewers surveyed a total of 539 active duty service members. The CD-RISC was used as data collection instrument. We used latent class analysis, principal component analysis factor and confi rmatory factor analysis to determine the factor structure of the CD-RISC.

Results: Latent class analysis showed that three subgroups (latent classes) can be distinguished. Principal component analysis factor yielded a 5-factor structure of resilience, Confirmatory factor analysis verified the original five-factor structure of the CDRISC.

Conclusions: The CD-RISC has been shown to be a reliable and valid tool for measuring active duty service members’ resilience.

Learning Areas:

Biostatistics, economics
Social and behavioral sciences

Learning Objectives:
analyze the pschometric structure of the Connor-Davidson Resilience Scale (CD-RISC) using latent class analysis, principal component analysis factor and confi rmatory factor analysis.

Keyword(s): Performance Measurement, Depression

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a co-investigator on this project and have beeen involved since its inception. I have served as PI on a number of projects relating to resilience over the past 12 years. I earned a PhD in Clinical Psychology and have worked in clinical settings on stress and reslience.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.