Development and Psychometric Evaluation of the Korean Version of the Cultural Competence Scale for Clinical Nurses.
10.1016/j.anr.2014.06.004
- Author:
Duck Hee CHAE
1
;
Chung Yul LEE
Author Information
1. Chonnam National University College of Nursing, Gwangju, South Korea.
- Publication Type:Original Article ; Multicenter Study
- Keywords:
cultural competence;
nurses;
psychometrics
- MeSH:
Adult;
*Cultural Competency;
Culturally Competent Care/*standards;
Humans;
*Nursing Staff, Hospital;
Psychometrics/*standards;
Questionnaires;
Reproducibility of Results;
Republic of Korea;
*Students, Nursing
- From:Asian Nursing Research
2014;8(4):305-312
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: To develop and psychometrically test the Korean version of the Cultural Competence Scale for Nurses (K-CCSN). METHODS: A multi-phase questionnaire development method was used to develop the scale from November 2012 to April 2013. The item pool was generated based on literature review, existing scales and in-depth interviews. The content validity was evaluated twice by an expert panel. The scale validation was conducted with a convenience sample of 456 general hospital nurses recruited from five general hospitals and a nursing college in the Seoul Metropolitan Area of South Korea. The construct-related and criterion-related validity and internal consistency reliability of the scale were tested. RESULTS: The 33-item K-CCSN comprised four subscalesdcultural awareness, cultural knowledge, cultural sensitivity and cultural skillsdexplaining 53.96% of the total variance. The criterion-related validity was supported by a known-group comparison. The reliability analysis showed an acceptable-to-high Cronbach's alpha in total and for subscales ranging from .879 to .932. CONCLUSION: This preliminary evaluation of psychometric scale properties demonstrated acceptable validity and reliability. The K-CCSN is able to provide scientific and empirical data regarding the cultural competence of clinical nurses. However, further studies are needed to test the applicability of the scale in different settings and contexts.
