Literature DB >> 1385599

Facet theoretic analysis of the Hamilton-D scale.

E M Steinmeyer1, H J Möller.   

Abstract

The items of the HAM-D(17-item version) were analyzed by a nonmetric (ordinal) multi-dimensional scaling procedure (Smallest Space Analysis, SSA-I) and the structure of the test items characterized within the framework of Guttman's facet theory. Two systematic components (facets) were discerned: 'centrality' and 'aspect'. Properties of the facets as well as their relations were assessed and examined empirically by analyzing the inter-relations among different items. The spatial configurations obtained by the scaling procedure were found only partially to fit the expectations derived from the facet-theory model. The facet 'centrality' was found to have a strong overriding influence over the 'aspect' facet. The results suggest the value of a new combination and selection of items reflecting different facets of depression consistently over time.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1385599     DOI: 10.1016/0165-0327(92)90093-l

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  4 in total

1.  Methodological aspects in the assessment of severity of depression by the Hamilton Depression Scale.

Authors:  H J Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2001       Impact factor: 5.270

Review 2.  [Core symptoms of depression. Effectiveness of antidepressant therapy].

Authors:  J Damm; D Eser; C Schüle; H-J Möller; R Rupprecht; T C Baghai
Journal:  Nervenarzt       Date:  2009-05       Impact factor: 1.214

3.  Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients.

Authors:  K Hebbrecht; M Stuivenga; T Birkenhäger; M Morrens; E I Fried; B Sabbe; E J Giltay
Journal:  BMC Med       Date:  2020-12-23       Impact factor: 8.775

4.  Effects of different antidepressant treatments on the core of depression.

Authors:  Thomas C Baghai; Daniela Eser; Hans-Jürgen Möller
Journal:  Dialogues Clin Neurosci       Date:  2008       Impact factor: 5.986

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.