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鲁本社交网络量表-6(LSNS-6)的拉施分析。

Rasch Analysis of the Lubben Social Network Scale-6 (LSNS-6).

作者信息

Gray Jennifer, Kim Jinsook, Ciesla James R, Yao Ping

机构信息

Northern Illinois University, DeKalb, USA.

Northern Illinois University, DeKalb, USA

出版信息

J Appl Gerontol. 2016 May;35(5):508-28. doi: 10.1177/0733464814560468. Epub 2014 Nov 25.

Abstract

The purposes of this article are to review the psychometric properties of the Lubben Social Network Scale-6 (LSNS-6) and to determine its utility in assessing social networks of an older adult community sample. We tested the LSNS-6 with Rasch methodology using a sample of 196 older adults, aged 55 and above who live in public and subsidized housing facilities. Rasch analysis showed unidimensionality of the overall scale, high person and item reliability, and good fit of individual items with one exception. Principal component analysis (PCA) of Rasch model residuals suggested family and friend subdimensions. Response categories demonstrated improvement when six categories were collapsed to four. A person-threshold map indicated ceiling and floor effects due to lack of items measuring less and more developed social networks. Recommendations provided in this article can make the LSNS-6 more psychometrically sound and useful in research and practical contexts.

摘要

本文的目的是回顾鲁本社会网络量表6(LSNS - 6)的心理测量特性,并确定其在评估老年社区样本社会网络中的效用。我们使用拉施方法对196名年龄在55岁及以上、居住在公共和补贴住房设施中的老年人样本进行了LSNS - 6测试。拉施分析表明,总体量表具有单维度性、较高的人员和项目信度,除一个项目外,各个项目的拟合度良好。拉施模型残差的主成分分析(PCA)表明存在家庭和朋友子维度。当六个反应类别合并为四个时,反应类别表现出改善。个人阈值图表明,由于缺乏测量社交网络发展程度较低和较高情况的项目,存在天花板效应和地板效应。本文提供的建议可使LSNS - 6在心理测量方面更加合理,并在研究和实际应用中更有用。

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