How (not) to measure social support networks

V. Hlebec, T. Kogovsek
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Abstract

The name generator approach and the role relation approach are among the most common ways to measure ego-centered social networks. The name generator approach, which first requires of a respondent to name actual persons and then usually asks several additional questions about these persons gives richer data on the respondent's social network, but is, on the other hand, relatively costly and burdensome. On the other hand the role relation approach is simpler to use and probably less burdensome for the respondent (he/she names persons in his/her networks only in terms of their roles, e.g., partner, friend), but provides less precise data on the respondent's network (e.g., network composition and size). Previous experiments which compared both approaches with regard to network composition (proportions of family, friends, neighbors and co-workers) provide incomplete evidence because the two approaches differed in several methodological aspects (e.g., question wording, limitation of the number of named alters, ranking of named alters). In this article, an experiment was designed in which all factors that were found to interact with network composition and the two approaches were controlled for. Based on previous studies, several hypotheses were formulated and tested. Data were collected on a quota sample of 683 respondents by students at the Faculty of Social Sciences and the Faculty of Arts in Ljubljana in October and November 2008. Results show that, in general, differences in frequency distributions were not large. Provision of instrumental support is similar for both approaches, but larger differences appear in emotional, informational and work support. Differences were greater for strong ties and for the category "no one". Differences were also slightly larger for first choices. Dispersion of roles was slightly greater with the name generator approach. Results are discussed in comparison with previous findings.
如何(不)衡量社会支持网络
名字生成器方法和角色关系方法是测量以自我为中心的社会网络最常见的方法。姓名生成器方法首先要求被调查者说出真实的人的名字,然后通常会问一些关于这些人的额外问题,这可以提供更丰富的被调查者的社交网络数据,但另一方面,这是相对昂贵和繁重的。另一方面,角色关系方法使用起来更简单,而且可能对被调查者来说负担更少(他/她只根据他们的角色来命名他/她网络中的人,例如,伙伴,朋友),但提供的关于被调查者网络的精确数据(例如,网络组成和规模)较少。之前的实验比较了两种方法在网络构成(家庭、朋友、邻居和同事的比例)方面的差异,但证据不完整,因为这两种方法在几个方法学方面存在差异(例如,问题措辞、命名者数量的限制、命名者的排名)。在本文中,设计了一个实验,其中发现所有因素与网络组成相互作用,并控制了两种方法。基于先前的研究,我们提出了几个假设并进行了验证。2008年10月和11月,卢布尔雅那社会科学学院和文学院的学生对683名受访者的配额样本进行了数据收集。结果表明,在一般情况下,频率分布的差异不大。两种方法提供的工具性支持相似,但在情感、信息和工作支持方面存在较大差异。在亲密关系和“没有人”这一类别中,差异更大。第一选择的差异也略大。使用名字生成器的方法,角色的分散程度略高。结果与以往的研究结果进行了比较讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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