A comprehensive analysis of the factor structure of the Beck Depression Inventory-II in a sample of outpatients with adjustment disorder and depressive episode

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Title: A comprehensive analysis of the factor structure of the Beck Depression Inventory-II in a sample of outpatients with adjustment disorder and depressive episode
Authors: McElroy, EoinCasey, Patricia R.Adamson, GaryFilippopoulos, PavlosShevlin, Mark
Permanent link: http://hdl.handle.net/10197/9591
Date: Mar-2018
Online since: 2019-01-16T10:25:28Z
Abstract: Objectives: Despite being commonly used in research and clinical practice, the evidence regarding the factor structure of the Beck Depression Inventory–II (BDI-II) remains equivocal and this has implications on how the scale scores should be aggregated. Researchers continue to debate whether the BDI-II is best viewed as a unidimensional scale, or whether specific subscales have utility. The present study sought to test a comprehensive range of competing factor analytic models of the BDI-II, including traditional non-hierarchical multidimensional models and confirmatory bifactor models. Method: Participants (N = 370) were clinical outpatients diagnosed with either depressive episode or adjustment disorder. Confirmatory factor analysis and confirmatory bifactor modelling were used to test 15 competing models. The unidimensionality of the best fitting model was assessed using three strength indices (ECV, PUC and ωH). Results: Overall, bifactor solutions provided superior fit than both unidimensional and non-hierarchical multidimensional models. The best fitting model consisted of a general depression factor and three specific factors: cognitive, somatic, and affective. High factor loadings and strength indices for the general depression factor supported the view that the BDI-II measures a single latent construct. Conclusions: The BDI-II should primarily be viewed as a unidimensional scale, and should be scored as such. Although it is not recommended that scores on individual subscales are used in isolation, they may prove useful in clinical assessment and/or treatment planning if used in conjunction with total scores.
Type of material: Journal Article
Publisher: Cambridge University Press
Journal: Irish Journal of Psychological Medicine
Volume: 35
Issue: 1
Start page: 53
End page: 61
Copyright (published version): 2017 College of Psychiatrists of Ireland
Keywords: Beck Depression Inventory–IIConfirmatory bifactor analysisExplained common varianceOmega hierarchicalDepression episodeAdjustment disorder
DOI: 10.1017/ipm.2017.52
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Medicine Research Collection

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