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báo cáo khoa học:" Validation of the Rasch-based Depression Screening in a large scale German general population sample"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Validation of the Rasch-based Depression Screening in a large scale German general population sample | Forkmann et al. Health and Quality of Life Outcomes 2010 8 105 http www.hqlo.eom content 8 1 105 HEALTH AND QUALITY of life outcomes RESEARCH Open Access Validation of the Rasch-based Depression Screening in a large scale German general population sample I f rvn I Ccv I lzi Vx 1K ỉ v Dz vzxZ l zv Z 1 h ỉ rlzi I r Ạ ỉ r f 72 I_IS-. I -J f I X I- ZZI Z x z3 E I Z D K S L I Z x V3 L z Í ỈV X l I fs r r 4 inomas -orKmann Maren BoecKer MarKus Wirtz Heide Glaesmer Elmar Branler Cnrisnne Norra Siegfried Gauggel1 Abstract Background The study aimed at presenting normative data for both parallel forms of the Rasch-based Depression Screening DESC to examine its Rasch model conformity and convergent and divergent validity based on a representative sample of the German general population. Methods The sample was selected with the assistance of a demographic consulting company applying a face to face interview N 2509 mean age 49.4 SD 18.2 55.8 women . Adherence to Rasch model assumptions was determined with analysis of Rasch model fit infit and outfit unidimensionality local independence principal component factor analysis of the residuals PC-AR and differential item functioning DI- with regard to participants age and gender. Norm values were calculated. Convergent and divergent validity was determined through intercorrelations with the depression and anxiety subscales of the Hospital Anxiety and Depression Scale nADS-D and nADS-A . Results -it statistics were below critical values 1.3 . There were no signs of DI-. The PC-AR revealed that the Rasch dimension depression explained 68.5 DESC-I and 69.3 DESC-II of the variance respectively which suggests unidimensionality and local independence of the DESC. Correlations with HADS-D were rDEsc-i .61 and rDESC-II .60 whereas correlations with HADS-A were rDESC-I .62 and rDESC-II .60. Conclusions This study provided further support for the psychometric quality of the DESC. Both forms of the DESC adhered to Rasch model assumptions and .