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- Title
Factorial validity of the 12-item general health questionnaire in patients with psychological disorders.
- Authors
Liu, Zhaoxia; Xi, Chang; Zhong, Mingtian; Peng, Wanrong; Liu, Qian; Chu, Jun; Zheng, Kaili; Yi, Jinyao
- Abstract
The 12-item General Health Questionnaire (GHQ-12) is a self-reporting instrument to assess mental health. The present study was aimed to explore the optimal factor model of the Chinese version of the GHQ-12 in patients with psychological disorders, and examine its measurement invariance across gender. A total of 870 outpatients completed the GHQ-12. Among them, 361 patients also completed the Center for Epidemiologic Studies Depression Scale (CES-D) and the Self-Rating Anxiety Scale (SAS). Confirmatory factor analysis (CFA) was adopted to assess the fit of two models of the GHQ-12. Multi-group confirmatory factor analysis (MGCFA) was performed to verify the measurement invariance of the GHQ-12 across gender. The Cronbach's α coefficients, McDonald's omega coefficients (ω), and mean inter-item correlations (MIC) were calculated to investigate the internal reliability of the GHQ-12. Pearson correlations between GHQ-12 and CES-D/SAS were performed to examine the convergent construct validity. The results showed that the 3-factor model of the GHQ-12 fitted the data better than the 2-factor model, and the 3-factor model of the GHQ-12 was measurement invariant across gender. The Cronbach's α coefficients of the GHQ-12 and its factors ranged from 0.63 to 0.83, ω ranged from 0.80 to 0.90, and MIC ranged from 0.28 to 0.46. The scores of the GHQ-12 and its factors had significantly positive correlations with scores of CES-D and SAS. In conclusion, the good factorial validity and reliability of the Chinese version of the GHQ-12 supported its application in evaluating the general mental health of patients in clinical context.
- Subjects
MCDONALD'S Corp.; GENERAL Health Questionnaire; CENTER for Epidemiologic Studies Depression Scale; CONFIRMATORY factor analysis; PEARSON correlation (Statistics); FACTORIALS
- Publication
Current Psychology, 2023, Vol 42, Issue 21, p18133
- ISSN
1046-1310
- Publication type
Article
- DOI
10.1007/s12144-022-02845-1