The Korean version of the connor-davidson resilience scale: An extended validation

Young Eun Jung, Jung Ah Min, A. Young Shin, Su Yeon Han, Kyoung Uk Lee, Tae Suk Kim, Joo Eon Park, Sam Wook Choi, Seung Hwan Lee, Kyeong Sook Choi, Young Min Park, Jong Min Woo, Soo Young Bhang, Eun Ho Kang, Won Kim, Jeong Jin Yu, Jeong Ho Chae*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)


The Connor-Davidson Resilience Scale (CD-RISC) is a brief self-rating questionnaire for measuring resilience. The aims of the present study were to describe the development of a Korean version of the CD-RISC (K-CD-RISC) and to more firmly establish its psychometric properties in terms of reliability and validity. The participants consisted of a general population sample (n = 194) and psychiatric outpatients (n = 127) with non-psychotic mood or anxiety disorders. The K-CD-RISC score means (standard deviation) were 65.9 (13.6) in the general population and 50.4 (20.5) in the psychiatric outpatients. The mean score of the general population was significantly higher than that of the psychiatric outpatients. Exploratory factor analysis revealed five factors, and the obtained factor structure was verified through confirmatory factor analysis. In the general population, the Cronbach's α coefficient of the K-CD-RISC was found to be 0.92. Greater resilience was found to be associated with less perceived stress, anxiety and depression and with higher levels of positive affect and purpose in life. Taken together, our findings suggest that the K-CD-RISC has good psychometric properties and is a valid and reliable tool for assessing resilience.

Original languageEnglish
Pages (from-to)319-326
Number of pages8
JournalStress and Health
Issue number4
Publication statusPublished - Oct 2012
Externally publishedYes


  • Korean
  • reliability
  • validity


Dive into the research topics of 'The Korean version of the connor-davidson resilience scale: An extended validation'. Together they form a unique fingerprint.

Cite this