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Development of a Rating Scale for Primary Depressive Illness
Abstract
This is an account of further work on a rating scale for depressive states, including a detailed discussion on the general problems of comparing successive samples from a ‘population’, the meaning of factor scores, and the other results obtained. The intercorrelation matrix of the items of the scale has been factor‐analysed by the method of principal components, which were then given a Varimax rotation. Weights are given for calculating factor scores, both for rotated as well as unrotated factors. The data for 152 men and 120 women having been kept separate, it is possible to compare the two sets of results. The method of using the rating scale is described in detail in relation to the individual items.
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Metadata
- Authors
- HAMILTON, M.
- Venue
- British Journal of Social and Clinical Psychology
- Publisher
- Wiley
- Published
- 1967-12
- Volume
- 6
- Issue
- 4
- Pages
- 278-296
- ISSN
- 0007-1293 (ISSN-L)
- OpenAlex
- W2061378977
- Cited by
- 8,410
- References
- 0
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
