majorbta.blogg.se

Library management system using java
Library management system using java









library management system using java

Major depressive disorder (MDD) is one of the most common psychiatric disorders, characterized by depressed mood or loss of interest in daily life ( American Psychiatric Association, 2013). Research data supports the BDI-II as a reliable and valid screening tool as well as a severity rating tool in the Korean adult population. The TIC was flat and plateau-like, indicating its appropriateness as a severity rating tool. To identify the usefulness of the BDI-II as a severity assessment tool or screening tool, a test information curve (TIC) was generated with an Item Response Theory (IRT) analysis. Results of ROC curve analysis suggested two optimal cut-off scores, 23 points for detecting major depressive disorder (MDD) (83.3% sensitivity, 86.8% specificity) and 17 points for depressive-related disorder (80.9% sensitivity, 76.4% specificity). To identify the diagnostic utility of the BDI-II, the Quality Assessment of Diagnostic Accuracy Studies 2nd Edition (QUADAS-2) methodology was applied in participant recruitment and research design. Confirmatory factor analysis (CFA) was performed, and a 3-factor model showed the best model fit. The BDI-II showed a high level of internal consistency and high correlations with other depression-related measures. A total of 1,145 clinical and non-clinical Korean adults participated in this study. This study aims to clarify the psychometric properties and diagnostic utility of the Korean BDI-II. However, the psychometric properties and diagnostic cut-off point of the official Korean version of the BDI-II have not yet been reported. The Beck Depression Inventory-II (BDI-II) is one of the most widely used depression assessment tools in Korea. 4Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea.3Department of Psychiatry, Inje University Ilsanpaik Hospital, Goyang, South Korea.2KU Mind Health Institute, Korea University, Seoul, South Korea.

library management system using java

1Department of Psychology, Korea University, Seoul, South Korea.Kiho Park 1,2, Eunju Jaekal 1, Seowon Yoon 1, Seung-Hwan Lee 3,4 and Kee-Hong Choi 1,2*











Library management system using java