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Cited by 389

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Classification of Depressed Patients: A Cluster Analysis Derived Grouping

Paykel, E. S.·1971·British Journal of Psychiatry

Abstract

In recent years there has been a considerable interest in the classification of depressed patients, and in the use of multivariate statistical techniques as tools for classifying, with the hope of either validating traditional classifications or suggesting useful new ones. One technique employed for this purpose has been factor analysis. A number of studies have used this method to explore the overlapping endogenous-reactive or psychotic-neurotic dichotomies. Most have demonstrated a factor or factors reflecting such a dimension which appears to form a consistent, systematic source of variance in ratings of depressed patients (1, 5, 11, 15, 16, 18, 26, 31, 33).

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Metadata

Authors
Paykel, E. S.
Venue
British Journal of Psychiatry
Published
1971-03
Volume
118
Issue
544
Pages
275-288
ISSN
  • 0007-1250 (ISSN-L)
  • 1472-1465
OpenAlex
W2138904478
Cited by
389
References
1
FWCI
24.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Classification of Depressed Patients: A Cluster Analysis Derived Grouping. https://app.cochat.ai/papers/10.1192/bjp.118.544.275
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Paykel, E. S. (1971). Classification of Depressed Patients: A Cluster Analysis Derived Grouping. British Journal of Psychiatry. https://doi.org/10.1192/bjp.118.544.275

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.