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University Student Depression Inventory: Measurement model and psychometric properties
Authors:Mojtaba Habibi  Nigar G Khawaja  Shahram Moradi  Mohsen Dehghani  Zahra Fadaei
Institution:1. Family Research Institute, Shahid Beheshti University, , Tehran, Iran;2. School of Psychology and Counseling, Queensland University of Technology, , Brisbane, Queensland, Australia;3. Department of Behavioral Sciences and Learning, Link?ping University, , Link?ping, Sweden
Abstract:University Student Depression Inventory (USDI) was developed to assess the symptoms of depression among the university students. Considering the debilitating nature of depression among university students globally, USDI was translated in Persian and validated using university students from Iran. A battery including the Persian version of USDI and scales measuring suicide, depression, and stress was administered to a normative sample of 359 undergraduate students, and an additional clinical sample of 150 students referred to the university's mental health centre. The results supported the factor structure and the psychometric properties of the translated version. Confirmatory factor analysis upheld the previously reported three‐factor first‐order and one‐factor second‐order structure. The internal consistency, test‐retest reliability, and concurrent and discriminant validity of the Persian version were supported. Cut‐off points using receiver operating characteristic curve analysis were established to identify students at risk. Gender differences on the symptoms of depression were evident only in the normative sample, where male participants, compared with female students, had higher mean scores in lethargy, cognitive/emotion, and academic motivation subscales. The translated scale can be used with Persian‐speaking students in Iran and the neighbouring countries as well as those settled in the West to identify symptoms of depression for further evaluation and management.
Keywords:measurement model  Persian version  University Student Depression Inventory
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