Litwin H
Paul Baerwald School of Social Work, The Hebrew University, Mount Scopus, 91905-IL, Jerusalem, Israel.
Gerontologist. 2001 Aug;41(4):516-24. doi: 10.1093/geront/41.4.516.
The aim of this research was to derive network types among an elderly population and to examine the relationship of network type to morale.
Secondary analysis of data compiled by the Israeli Central Bureau of Statistics (n = 2,079) was employed, and network types were derived through K-means cluster analysis. Respondents' morale scores were regressed on network types, controlling for background and health variables.
Five network types were derived. Respondents in diverse or friends networks reported the highest morale; those in exclusively family or restricted networks had the lowest. Multivariate regression analysis underscored that certain network types were second among the study variables in predicting respondents' morale, preceded only by disability level (Adjusted R(2) =.41).
Classification of network types allows consideration of the interpersonal environments of older people in relation to outcomes of interest. The relative effects on morale of elective versus obligated social ties, evident in the current analysis, is a case in point.
本研究旨在确定老年人群中的社交网络类型，并检验社交网络类型与士气之间的关系。
采用对以色列中央统计局汇编的数据（n = 2,079）进行二次分析的方法，并通过K均值聚类分析得出社交网络类型。将受访者的士气得分对社交网络类型进行回归分析，同时控制背景和健康变量。
得出了五种社交网络类型。处于多样化或朋友网络中的受访者士气得分最高；而处于仅由家人组成或受限网络中的受访者士气得分最低。多变量回归分析强调，在预测受访者士气方面，某些社交网络类型在研究变量中位列第二，仅次于残疾程度（调整后R² = 0.41）。
社交网络类型的分类有助于考虑老年人的人际环境与相关感兴趣结果之间的关系。当前分析中明显体现出的选择性社交关系与义务性社交关系对士气的相对影响就是一个例证。
Zotero 插件