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Psychometric Properties of the Mental Health Continuum-Short Form (MHC-SF): A Study With Individuals With Schizophrenia Living in the Community
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  • Psychometric Properties of the Mental Health Continuum-Short Form (MHC-SF): A Study With Individuals With Schizophrenia Living in the Community
  • Psychometric Properties of the Mental Health Continuum-Short Form (MHC-SF): A Study With Individuals With Schizophrenia Living in the Community
저자명
Young-Jin Lim
간행물명
Psychiatry InvestigationKCI,SCIE,SSCI,SCOPUS
권/호정보
2022년|19권 12호|pp.1021-1026 (6 pages)
발행정보
대한신경정신의학회|한국
파일정보
정기간행물|KOR|
PDF텍스트(0.21MB)
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국문초록

Objective The Mental Health Continuum-Short Form (MHC-SF) is widely used to measure positive mental health. This study is the first to examine the psychometric properties of the MHC-SF in persons with schizophrenia living in the community. Methods Two hundred thirty-one individuals with schizophrenia living in the community in South Korea filled out the MHC-SF. Confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were undertaken to examine the factor structure of the MHC-SF. Results Results showed that a three-factor bifactor ESEM model yielded better fit than the other alternative models. Indices of internal consistency reliability were acceptable. Conclusion The results suggest that bifactor ESEM is an appropriate analysis for examining the factor structure of the MHC-SF in individuals with schizophrenia. The findings support the use of the overall MHC-SF scale rather than the use of the subscales in people with schizophrenia.

영문초록

Objective The Mental Health Continuum-Short Form (MHC-SF) is widely used to measure positive mental health. This study is the first to examine the psychometric properties of the MHC-SF in persons with schizophrenia living in the community. Methods Two hundred thirty-one individuals with schizophrenia living in the community in South Korea filled out the MHC-SF. Confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were undertaken to examine the factor structure of the MHC-SF. Results Results showed that a three-factor bifactor ESEM model yielded better fit than the other alternative models. Indices of internal consistency reliability were acceptable. Conclusion The results suggest that bifactor ESEM is an appropriate analysis for examining the factor structure of the MHC-SF in individuals with schizophrenia. The findings support the use of the overall MHC-SF scale rather than the use of the subscales in people with schizophrenia.

목차

INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

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