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一种社交网络测量方法的可靠性与互惠性。

The Reliability and Reciprocity of a Social Network Measure.

作者信息

Jason Leonard A, Stevens Ed

机构信息

Center for Community Research, DePaul University, Chicago, Illinois, USA.

出版信息

Alcohol Treat Q. 2017;35(4):317-327. doi: 10.1080/07347324.2017.1355220. Epub 2017 Aug 17.

Abstract

There have been few efforts to systematically develop reliable and valid measures of social networks, particularly in studies dealing with individuals having substance use disorders. In the current study, individuals living in recovery homes called Oxford Houses completed a 6-item measure of social networks. The Cronbach's alpha was .85 and a confirmatory factor analysis found excellent fit statistics with all items having substantial (> .70) load factors. In addition, the measure was independent of age, sex, and ethnicity and significantly related to length of stay in the recovery homes and quality of life. The authors have found that this instrument works well as an ego network with adequate psychometric properties and empirical relations to other recovery variables.

摘要

很少有人致力于系统地开发可靠且有效的社交网络测量方法,尤其是在针对患有物质使用障碍的个体的研究中。在当前的研究中,居住在名为牛津之家的康复之家的个体完成了一项包含6个项目的社交网络测量。克朗巴哈系数为0.85,验证性因素分析发现拟合统计良好,所有项目的负荷因子都很高(>0.70)。此外,该测量与年龄、性别和种族无关,并且与在康复之家的停留时间和生活质量显著相关。作者发现,作为一种自我网络,该工具具有良好的心理测量特性,并与其他康复变量存在实证关系,效果良好。

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