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The TAPS Project. 5: the Structure of Social-Network Data Obtained from Long-Stay Patients

Published online by Cambridge University Press:  02 January 2018

J. Leff ,
C. O'Driscoll ,
D. Dayson ,
W. Wills  and
J. Anderson
J. Anderson
Affiliation:
Team for the Assessment of Psychiatric Services, Friern Hospital, London N11 3BP
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Abstract

The Social Network Schedule was successfully completed on 489 (64%) of 770 long-stay patients in Friern and Claybury Hospitals and the data on 3774 social contacts of the patients subjected to log-linear modelling. This showed that the category ‘confidant’ was salient in understanding the data. Latent-class analysis highlighted the importance of the nature of the social interaction between patients and their contacts. In particular, non-verbal exchanges of goods and services emerged as important in creating social bonds.

Type
Papers
Information
The British Journal of Psychiatry , Volume 157 , Issue 6 , December 1990 , pp. 848 - 852
Copyright
Copyright © The Royal College of Psychiatrists 

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