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Network Analysis Methods to Measure Sociometric Status

机译:测量社会地位的网络分析方法

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This paper proposes an innovative methodological approach to measure sociometric status in small groups of pupils. Although it uses indirect data collected by interview, in this study the sociometric status is analysed by direct observation. This method is specifically suitable when the target population concerns pre-school children. Their cognitive competence, in fact, is not as well developed as their relational abilities. Hence, the indicators constructed are more reliable than the measures derived by the subjective perception of interviewed pupils. The Network Analysis methods allow for the definition of sociometric status by means of regular equivalence. Employing lambda sets and cliques, then, we specify further roles into distinctive small groups. The results show that sociometric status can be revealed by regular equivalence. Besides, the Network Analysis approach allows for the observation of further relational skills, not strictly associated with traditional social roles, detectable only through lambda sets and cliques.
机译:本文提出了一种创新的方法论方法来测量小学生群体中的社会计量状态。尽管它使用访谈收集的间接数据,但在本研究中,通过直接观察来分析社会地位。当目标人群关注学龄前儿童时,此方法特别适用。实际上,他们的认知能力不如他们的关系能力发达。因此,所构建的指标比受访学生的主观感知所得出的指标更可靠。网络分析方法允许通过定期对等的方法来定义社会地位。然后,我们使用lambda集和集团,将进一步的角色指定为不同的小组。结果表明,可以通过定期等价来揭示社会地位。此外,网络分析方法还允许观察其他关系技能,这些技能并不严格与传统的社会角色相关联,只能通过lambda集和集团来检测。

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