一个动态的社会关系模型,用于集群的纵向二数据,具有连续或顺序的响应
Rebecca Pillinger1, Fiona Steele2, George Leckie3
1Independent Researcher, Edinburgh, UK.
概括
这项研究将社会关系模型扩展到纵向二度数据,使得随着时间的推移可以分析动态相互作用和关系效应. 改进的模型有助于从时间波动和测量错误中解脱关系动态.
科学领域:
- 社会心理学 社会心理学
- 量化心理学 量化心理学
- 统计建模 统计建模
背景情况:
- 社会关系模型 (SRM) 用于分析聚类二极交互数据.
- 现有的SRM在处理纵向数据和动态结构方面存在局限性.
- 从时间波动和测量误差区分关系效应是具有挑战性的.
研究的目的:
- 建议扩展社会关系模型的纵向二数据.
- 结合动态结构,允许分析时间依赖性.
- 调查个人如何对伴侣以前的行为做出反应.
主要方法:
- 开发了一个扩展的社会关系模型,用于纵向的,聚类的二级数据.
- 该模型可以容纳连续,二进制或正则响应变量.
- 将模型应用于冲突讨论任务上的加拿大家庭数据.
主要成果:
- 扩展模型成功地将关系效应从时间波动和测量误差中解脱出来.
- 证明了在之前的观察中调查合作伙伴效应的能力.
- 该应用程序提供了对家族内部二级相互作用的见解.
结论:
- 拟议的扩展提供了一个强大的框架,用于分析纵向二研究中的动态社会相互作用.
- 这种方法增强了对关系动态和对内个体反应的理解.
- 该模型适用于各种类型的二元数据和研究问题.
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