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基于多水平验证性因子分析的城市社区社会资本测量——实例研究及相关方法综述

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英文标题:

Multilevel Confirmatory Factor Analysis on Measurement of Social Capital in City Communities: Methodological Review and Empirical Illustration

摘要: 对于作为集合性概念的社区社会资本,以往研究通行的做法是对采自个体的数据以社区为单位取均值作为相应高水平构念,再进行因子分析。然而,由于缺乏必要的评估,这种聚合处理存在信效度问题。在对以往有关研究进行总结和反思的基础之上,立足于某大型城市社区调查数据,本文检验了社区社会资本相关题项的ICCs、Rwg等指标,发现总体来讲各指标组内一致性和信度较低。结合相关方法的进展,本文建议(认知性)社区社会资本构建应置于多水平潜变量模型的框架之下,并使用多水平验证性因子分析进行建模。最后,文章对相关发现的理论意义和方法存在的局限进行了简要探讨。
英文摘要:

For constructing the measurement index of the community social capital as a collective concept, the previous studies have conducted factor analysis based on the cluster means aggregated from the individual to form the corresponding construct at the community level. However, this method lacks reliability and validity due to the absence of necessary evaluation. This paper examines the ICCs and Rwg of relevant items of community social capital from a large survey of urban communities, and finds that the internal consistency and reliability of indicators are low. The author suggests that the measurement of (cognitive) community social capital should be placed under the framework of multilevel latent variable model, and finish with a multilevel confirmatory factor analysis. Theoretical implications of the findings and limitations of the method are also discussed.

作者:

毕向阳

作者单位: 中央民族大学民族学与社会学学院
期刊: 社会学研究
年.期:页码 2019.6:213-237
中图分类号:
文章编号:
关键词: 社区社会资本;聚合;多水平验证性因子分析;多水平潜协变量;双潜多水平模型
英文关键词:
项目基金:

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