Journal
COMPREHENSIVE PSYCHIATRY
Volume 54, Issue 5, Pages 474-483Publisher
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.comppsych.2012.12.011
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Background: There is a paucity of empirical studies examining the latent structure of depression symptoms within clinical populations. Objective: The current study aimed to evaluate the latent structure of DSM-IV major depression utilising dimensional, categorical, and hybrid models of dimensional and categorical latent variables in a large treatment-seeking population. Methods: Latent class models, latent factor models, and factor mixture models were fit to data from 1165 patients currently undergoing online treatment for depression. Results: Model fit statistics indicated that a two-factor model fit the data the best when compared to a one-factor model, latent class models, and factor mixture models. Conclusions: The current study suggests that the structure of depression consists of two underlying dimensions of depression severity when compared to categorical or a mixture of both categorical and dimensional structures. For clinical samples, the two latent factors represent psychological and somatic symptoms. (C) 2013 Elsevier Inc. All rights reserved.
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