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标题：روابط ساختاری میان ابعاد اختلال‌های اضطرابی و افسردگی DSM-IV و ابعاد الگوی سه‌بخشی
其他标题：Structural Relationships between Dimensions of DSM-IV Anxiety and Depressive Disorders and Dimensions of Tripartite Model
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作者：A. Bakhshipour Roodsari ; M. Dejkam ; AH. Mehryar 等
期刊名称：Iranian Journal of Psychiatry and Clinical Psychology
印刷版ISSN：1735-4315
电子版ISSN：2228-7515
出版年度：2004
卷号：9
期号：4
页码：63-76
语种：English
出版社：Tehran University of Medical Sciences
其他摘要：Abstract Objectives: This project assessed the validity of integrative hierarchical model of anxiety and dep - ression by Brown, Chorpita, and Barlow. Through this appraisal, structural relationships were assess- ed between key features of anxiety and depressive disorders and the dimensions of tripartite model of anxiety and depression. Method: In this project, using the findings collected from 255 outpatient subjects with the diagno- sis of anxiety and depressive disorders, first, via Confirmatory Factor Analysis (CFA), Validity of five factor model of DSM-IV anxiety and depressive disorders and validity of tripartite model of anxiety and depression were assessed. Next, to select the best model, the three level structural model of Brown et al., was compared with the rival models via Structural Equation Modeling (SEM) . Findings: Findings supported the discriminate validity of five factor model of DSM-IV anxiety and depressive disorders and tripartite model of anxiety and depression. Amongst various struc- tural models evaluated, the best confirming was the one in which higher order factors, the negative and positive affects influenced significantly the features of anxiety and depressive disorders in an expected manner. Results: The discriminating hierarchical model is confirmed considering the limitations of the pre- sent study.
关键词：کلید واژه: الگوی سه بخشی اضطراب و افسردگی; الگوی ساختاری سه سطحی اضطراب و افسردگی; تحلیل عاملی تأییدی; مدل یابی معادله‌ی ساختاری
其他关键词：tripartite model of anxiety and depression; three level structural model of anxi-ety and depression;Confirmatory Factor Analysis (CFA);Structural Equation Modeling (SEM)