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TAPS项目。5:从长期住院患者获取的社交网络数据结构

The TAPS Project. 5: The structure of social-network data obtained from long-stay patients.

作者信息

Leff J, O'Driscoll C, Dayson D, Wills W, Anderson J

机构信息

Friern Hospital, London.

出版信息

Br J Psychiatry. 1990 Dec;157:848-52. doi: 10.1192/bjp.157.6.848.

DOI:10.1192/bjp.157.6.848
PMID:2126967
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.

摘要

社交网络时间表在弗里恩医院和克莱伯里医院的770名长期住院患者中的489名(64%)身上成功完成,对这些患者的3774个社会交往数据进行了对数线性建模。结果表明,“密友”类别在理解数据方面很突出。潜在类别分析强调了患者与其交往对象之间社会互动性质的重要性。特别是,商品和服务的非语言交换在建立社会联系方面显得很重要。

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