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Comparison of factor structure models for the Beck Depression Inventory--II
1Veterans Affairs Medical Center, Tuscaloosa, AL 35404, USA. wardlc@gmail.com
Psychological Assessment
|April 6, 2006
Summary
A general-factor model provides a strong explanation for Beck Depression Inventory--II data, fitting as well as or better than two-factor models. This model offers a practical interpretation for clinical use and research.
Area of Science:
- Psychological assessment
- Psychometrics
- Clinical psychology
Background:
- Factor analyses of the Beck Depression Inventory--II (BDI-II) have yielded inconsistent two-factor oblique structures.
- Previous research indicates variability in the interpretation of BDI-II's underlying factor structure.
Purpose of the Study:
- To compare the fit of two common two-factor oblique models against a general-factor model with two orthogonal group factors for the BDI-II.
- To evaluate the empirical and conceptual utility of a general-factor model for the BDI-II.
Main Methods:
- Confirmatory factor analyses were employed to test competing models.
- Item data from three clinical and two college samples were utilized for the analyses.
Main Results:
- The general-factor model demonstrated comparable or superior fit to the data compared to the two-factor models.
- High communalities for the General Depression factor (71%-82%) were observed.
- Cognitive and Somatic group factors were identified, reflecting intropunitiveness and fatigue, respectively.
Conclusions:
- The general-factor model offers a robust empirical explanation of the BDI-II's item covariance structure.
- This model provides a conceptually sound and practically applicable interpretation for both clinical practice and research settings.
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