Factor Structure of The Beck Depression Inventory in a University Sample

Herbert W. Helm; Mark D. Boward; Mark D. Howard

doi:10.2466/pr0.2003.92.1.53

Factor Structure of The Beck Depression Inventory in a University Sample

Herbert W. Helm
, Mark D. Boward
, Mark D. Howard

School of Social & Behavioral Sciences

Andrews University

Research output: Contribution to journal › Article › peer-review

Abstract

Factor analysis was performed on the Beck Depression Inventory with a university sample to examine its potential multidimensionality. A principal components analysis with an oblimin and varimax rotation produced a two-factor solution. These factors were labeled Cognitive-Affective and Physiological and accounted for approximately 39% of the common variance. This finding is consistent with multidimensionality of the inventory and with a similar study of college students. The commonalities of the two studies suggest the reliability (internal consistency) of the Cognitive-Affective and Physiological constructs among "minimally" depressed university samples.

Original language	American English
Pages (from-to)	53-61
Journal	Psychological reports
Volume	92
Issue number	1
DOIs	https://doi.org/10.2466/pr0.2003.92.1.53
State	Published - Feb 2003

Disciplines

Psychology
Psychiatric and Mental Health

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AB - Factor analysis was performed on the Beck Depression Inventory with a university sample to examine its potential multidimensionality. A principal components analysis with an oblimin and varimax rotation produced a two-factor solution. These factors were labeled Cognitive-Affective and Physiological and accounted for approximately 39% of the common variance. This finding is consistent with multidimensionality of the inventory and with a similar study of college students. The commonalities of the two studies suggest the reliability (internal consistency) of the Cognitive-Affective and Physiological constructs among "minimally" depressed university samples.

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Factor Structure of The Beck Depression Inventory in a University Sample

Abstract

Disciplines

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