The development and psychometric investigation of the university student depression inventory

Khawaja, Nigar G. & Bryden, Kelly J. (2006) The development and psychometric investigation of the university student depression inventory. Journal of Affective Disorders, 96(1-2), pp. 21-29.

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Background: Depression is prevalent among university students. It is debilitating and affects the academic performance of students. One of the most common reasons why students consult counselling centres is depression. Therefore it is important to assess the university students’ depression by valid measures designed particularly for this purpose. Method: The present study developed the "University Student Depression Inventory" (USDI) to measure the depressive symptoms of university students. Result: Items based on a broad range of depression symptoms were subjected to factor analysis, resulting in a 30 item scale with three subscales: Lethargy; Cognitive / Emotional; and Academic Motivation. Psychometric investigation revealed satisfactory reliability and convergent and divergent validity. Conclusion: It is expected that multidimensional USDI would be a useful tool for university counselling services to assess the depression of the students.

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23 citations in Scopus
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18 citations in Web of Science®

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ID Code: 4465
Item Type: Journal Article
Refereed: Yes
Keywords: assessment, HERN, university students, Depression, a multidimensional scale
DOI: 10.1016/j.jad.2006.05.007
ISSN: 0165-0327
Subjects: Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100) > Biological Psychology (Neuropsychology Psychopharmacology Physiological Psychology) (170101)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2006 Elsevier
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 14 Jun 2006 00:00
Last Modified: 24 Feb 2015 06:03

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