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[小样本多维同质性分析:患有排除性疾病人群不同亚组的比较]

[Multidimensional homogeneity analysis with small samples: comparison of different subgroups of people suffering from exclusion].

作者信息

Schiltz L, Houbre B

机构信息

Centre de Recherche Publique-Santé, Luxembourg.

出版信息

Bull Soc Sci Med Grand Duche Luxemb. 2006(2):311-25.

PMID:17124805
Abstract

With the aim of studying the relationship between harmful biographical events and exclusion we have developed a rating scale for semi-structured biographical interviews. The rating scale was constructed in accordance with the phenomenological and structural approach and allows us gathering some clinically pertinent indicators concerning the course of life, the nature of the trauma, the composition of the original family, the life period of emotional pain and the current familiar and social support. The homogeneity or multiple correspondence analysis (HOMALS) led to the extraction of the fundamental dimensions underlying the data of three clinical subgroups of people suffering from exclusion and marginalization: homeless and long term unemployed people, immigrants, political refugees and asylum seekers, drug addicts. The results demonstrate the relevance of the multidimensional homogeneity analysis applied to this kind of data. On one hand they suggest a theoretical model of the relationship between harmful biographical events, vulnerability, exclusion and psychopathological complications. On the other hand they show that we are facing differential psychological profiles which will be studied thoroughly during the next stages of our research.

摘要

为了研究有害生平事件与被排斥之间的关系,我们开发了一种用于半结构化生平访谈的评分量表。该评分量表是根据现象学和结构化方法构建的,使我们能够收集一些与生活历程、创伤性质、原生家庭构成、情感痛苦的生命周期以及当前家庭和社会支持有关的临床相关指标。同质性或多重对应分析(HOMALS)导致从遭受排斥和边缘化的三个临床亚组的数据中提取基本维度:无家可归者和长期失业者、移民、政治难民和寻求庇护者、吸毒者。结果证明了将多维同质性分析应用于这类数据的相关性。一方面,它们提出了有害生平事件、易感性、排斥和心理病理并发症之间关系的理论模型。另一方面,它们表明我们面临着不同的心理特征,这将在我们研究的下一阶段进行深入研究。

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