Pillinger Rebecca, Steele Fiona, Leckie George, Jenkins Jennifer
Independent Researcher, Edinburgh, UK.
Department of Statistics, London School of Economics & Political Science, London, UK.
J R Stat Soc Ser A Stat Soc. 2023 Sep 5;187(2):338-357. doi: 10.1093/jrsssa/qnad115. eCollection 2024 Apr.
Social relations models allow the identification of cluster, actor, partner, and relationship effects when analysing clustered dyadic data on interactions between individuals or other units of analysis. We propose an extension of this model which handles longitudinal data and incorporates dynamic structure, where the response may be continuous, binary, or ordinal. This allows the disentangling of the relationship effects from temporal fluctuation and measurement error and the investigation of whether individuals respond to their partner's behaviour at the previous observation. We motivate and illustrate the model with an application to Canadian data on pairs of individuals within families observed working together on a conflict discussion task.
社会关系模型允许在分析个体或其他分析单位之间互动的聚类二元数据时识别聚类、行为者、伙伴和关系效应。我们提出了该模型的一个扩展，它可以处理纵向数据并纳入动态结构，其中响应可以是连续的、二元的或有序的。这使得能够将关系效应与时间波动和测量误差区分开来，并研究个体是否对前一次观察中伙伴的行为做出反应。我们通过应用于加拿大关于家庭中个体对在冲突讨论任务中共同工作的成对数据来激发并说明该模型。
