OBJECTIVES: The primary aim was to examine the depressive symptom structure of Mainland China adolescents using the Center for Epidemiologic Studies Depression Scale (CES-D). DESIGN: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were simultaneously conducted to determine the structure of the CES-D in a large scale, representative adolescent samples recruited from Mainland China. Multigroup CFA (N = 5059, 48% boys, mean = 16.55±1.06) was utilized to test the factorial invariance of the depressive symptom structure, which was generated by EFA and confirmed by CFA across gender. RESULTS: The CES-D can be interpreted in terms of 3 symptom dimensions. Additionally, factorial invariance of the new proposed model across gender was supported at all assuming different degrees of invariance. CONCLUSION: Mainland Chinese adolescents have specific depressive symptom structure, which is consistent across gender.
OBJECTIVES: The primary aim was to examine the depressive symptom structure of Mainland China adolescents using the Center for Epidemiologic Studies Depression Scale (CES-D). DESIGN: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were simultaneously conducted to determine the structure of the CES-D in a large scale, representative adolescent samples recruited from Mainland China. Multigroup CFA (N = 5059, 48% boys, mean = 16.55±1.06) was utilized to test the factorial invariance of the depressive symptom structure, which was generated by EFA and confirmed by CFA across gender. RESULTS: The CES-D can be interpreted in terms of 3 symptom dimensions. Additionally, factorial invariance of the new proposed model across gender was supported at all assuming different degrees of invariance. CONCLUSION: Mainland Chinese adolescents have specific depressive symptom structure, which is consistent across gender.
Authors: J W Hwang; S C Xin; Y M Ou; W Y Zhang; Y L Liang; J Chen; X Q Yang; X Y Chen; T W Guo; X J Yang; W H Ma; J Li; B C Zhao; Y Tu; J Kong Journal: J Psychiatr Res Date: 2016-02-13 Impact factor: 4.791
Authors: Sophie van der Sluis; Tinca J C Polderman; Michael C Neale; Frank C Verhulst; Danielle Posthuma; Gwen C Dieleman Journal: Int J Methods Psychiatr Res Date: 2016-01-22 Impact factor: 4.035