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Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II.

Authors :
Heinrich, Manuel
Zagorscak, Pavle
Eid, Michael
Knaevelsrud, Christine
Source :
Assessment. Oct2020, Vol. 27 Issue 7, p1429-1447. 19p.
Publication Year :
2020

Abstract

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample (N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10731911
Volume :
27
Issue :
7
Database :
Academic Search Index
Journal :
Assessment
Publication Type :
Academic Journal
Accession number :
145141412
Full Text :
https://doi.org/10.1177/1073191118803738