2013
DOI: 10.1037/a0029228
|View full text |Cite
|
Sign up to set email alerts
|

On the factor structure of the Beck Depression Inventory–II: G is the key.

Abstract: The Beck Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996) is intended to measure severity of depression, and because items represent a broad range of depressive symptoms, some multidimensionality exists. In recent factor-analytic studies, there has been a debate about whether the BDI-II can be considered as one scale or whether subscales should be distinguished. In the present study, we applied a bifactor model to evaluate the extent to which scores reflect a single variable in a large sample of 1,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

18
136
0
15

Year Published

2013
2013
2017
2017

Publication Types

Select...
5
3
1

Relationship

1
8

Authors

Journals

citations
Cited by 146 publications
(169 citation statements)
references
References 52 publications
(124 reference statements)
18
136
0
15
Order By: Relevance
“…21,58,67,73,87,101,105 Although still scant, the bifactor model (G) was able to identify a non-hierarchical general depression in addition to the traditional two-dimensional structure. 18,34,64,81,84,96,121 These investigations shared the view that much of the variance of the BDI-II items can be accounted for by a hierarchical higher order or a parallel dimension of depression, where much of the common variance can be explained by a general construct. Practitioners should be careful when interpreting subscale scores, which might be greatly related to the heterogeneous characteristics of depressive conditions.…”
Section: Content and Construct Validitymentioning
confidence: 52%
“…21,58,67,73,87,101,105 Although still scant, the bifactor model (G) was able to identify a non-hierarchical general depression in addition to the traditional two-dimensional structure. 18,34,64,81,84,96,121 These investigations shared the view that much of the variance of the BDI-II items can be accounted for by a hierarchical higher order or a parallel dimension of depression, where much of the common variance can be explained by a general construct. Practitioners should be careful when interpreting subscale scores, which might be greatly related to the heterogeneous characteristics of depressive conditions.…”
Section: Content and Construct Validitymentioning
confidence: 52%
“…Uniquely, Gustafsson and Balke [24] applied what they termed a nested factor model, which was identical to the bi-factor model of Holzinger and Swineford [1]. Subsequently, the bi-factor model has been recommended by Reise [25] for CFA and successfully employed in the measurement of a variety of constructs, such as cognitive ability [22], health outcomes [26], quality of life [27], psychiatric distress [28], early academic skills [29], personality [30], psychopathology [31], and emotional risk [32].…”
Section: Introductionmentioning
confidence: 99%
“…Kada je reč o specifičnim faktorima, situacija je manje jasna. Ne postoje definitivni kriterijumi koji ukazuju na zaključak o primarnosti G faktora, ali u većini dosadašnjih istraživanja u kojima je donet takav zaključak, G je objašnjavao bar oko 80% zajedničke varijanse (npr., Brouwer, Meijer, & Zevalkink, 2013;Ebesutani et al, 2014;Ghisi et al, 2016;Osman et al, 2010). U ovom istraživanju, taj broj je manji (60.75%).…”
Section: Diskusijaunclassified