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Reasoning in Deluded Schizophrenic and Paranoid Patients: Biases in Performance on a Probabilistic Inference Task

GARETY, P A, HEMSLEY, D R, WESSELY, S·1991·The Journal of Nervous and Mental Disease

Abstract

An experiment is described in which deluded subjects with a diagnosis of schizophrenia or of delusional disorder (paranoia) were compared with a nondeluded psychiatric control group and a normal control group on a probabilistic inference task. Factors relevant to belief formation and maintenance were investigated. Deluded subjects requested less information before reaching a decision and were more ready to change their estimates of the likelihood of an event when confronted with potentially disconfirmatory information. No differences were found between the two diagnostic groups of deluded subjects. The results are discussed in light of prevailing theories of the importance of abnormal experience rather than reasoning biases in the formation and maintenance of delusional beliefs. It is suggested that a reasoning abnormality is involved, which may coexist with perceptual abnormalities.

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Metadata

Authors
GARETY, P. A., HEMSLEY, D. R., & WESSELY, S.
Venue
The Journal of Nervous and Mental Disease
Published
1991-04
Volume
179
Issue
4
Pages
194-201
ISSN
0022-3018 (ISSN-L)
OpenAlex
W2040634382
Cited by
597
References
0
FWCI
8.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reasoning in Deluded Schizophrenic and Paranoid Patients: Biases in Performance on a Probabilistic Inference Task. https://app.cochat.ai/papers/10.1097/00005053-199104000-00003
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GARETY, P. A., HEMSLEY, D. R., & WESSELY, S. (1991). Reasoning in Deluded Schizophrenic and Paranoid Patients: Biases in Performance on a Probabilistic Inference Task. The Journal of Nervous and Mental Disease. https://doi.org/10.1097/00005053-199104000-00003

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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.