The time has come to stop rotations for the identification of structures in the Hamilton Depression Scale (HAM-D₁₇)
To use principal component analysis (PCA) to test the hypothesis that the items of the Hamilton Depression Scale (HAM-D₁₇) have been selected to reflect depression disability, whereas some of the items are specific for sub-typing depression into typical vs. atypical depression. Our previous study us...
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Published in | Revista brasileira de psiquiatria Vol. 35; no. 4; pp. 360 - 363 |
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Main Authors | , , , |
Format | Journal Article |
Language | English Portuguese |
Published |
Brazil
Associação Brasileira de Psiquiatria
01.12.2013
Associação Brasileira de Psiquiatria (ABP) |
Subjects | |
Online Access | Get full text |
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Summary: | To use principal component analysis (PCA) to test the hypothesis that the items of the Hamilton Depression Scale (HAM-D₁₇) have been selected to reflect depression disability, whereas some of the items are specific for sub-typing depression into typical vs. atypical depression.
Our previous study using exploratory factor analysis on HAM-D₁₇ has been re-analyzed with PCA and the results have been compared to a dataset from another randomized prospective study.
PCA showed that the first principal component was a general factor covering depression disability with factor loadings very similar to those obtained in the STAR*D study. The second principal component was a bi-directional factor contrasting typical vs. atypical depression symptoms. Varimax rotation gave no new insight into the factor structure of HAM-D₁₇.
With scales like the HAM-D₁₇, it is very important to make a proper clinical interpretation of the PCA before attempting any form of exploratory factor analysis. For the HAM-D₁₇, our results indicate that profile scores are needed because the total score of all 17 items in the HAM-D₁₇ does not give sufficient information. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1516-4446 1809-452X 1809-452X 1516-4446 |
DOI: | 10.1590/1516-4446-2013-1116 |