Structural Validation of the Hamilton Depression Rating Scale |
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| Authors: | Jason C Cole Sarosh J Motivala Jeff Dang Anne Lucko Nancy Lang Myron J Levin Michael N Oxman Michael R Irwin |
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| Institution: | (1) Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, California;(2) San Diego Veterans', Medical Research Foundation, USA;(3) Health Sciences Center, University of Colorado, Denver, Colorado;(4) University of California, San Diego, California;(5) San Diego Veterans Affairs Healthcare System, San Diego, California |
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| Abstract: | Despite the prolific use of the Hamilton Depression Rating Scale (HDRS), there have been no prior studies using confirmatory factor analysis (CFA) to compare competing HDRS latent structures. The current study undertakes this task, examining CFAs on 397 older adults on the most stable latent models previously posited and a new rationally derived model by Cole and Motivala. CFAs were evaluated in their original first-order structure and in hierarchically related counterparts. All hierarchical models performed significantly better than their first-order counterparts. Moreover, the hierarchical Cole and Motivala model was significantly better on all comparative criteria than any of the other models. However, none of the tested models obtained sufficient fit with the data suggesting psychometric, scoring, or content limitations of the scale. |
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| Keywords: | depression latent analysis confirmatory factor analysis Hamilton Depression Rating Scale |
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