The Multilevel p2 Model
The Multilevel p2 Model
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多级 p2 模型
DOI：
10.1027/1614-2241.2.1.42
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发表时间：
2006
影响因子：
6.7
通讯作者：
T. Snijders
中科院分区：
文献类型：
--
作者：
B. Zijlstra;M. Duijn;T. Snijders
p 2模型是一种随机效应模型，具有协变量，用于分析二元定向社会网络数据，这些数据来自对社会网络的单个观察。这里，提出了p2模型的多级变体，用于社会网络的多重观察，例如，在学校样本中。多层p2模型为社会网络的每个独立观察定义了一个相同的p2模型，其中参数允许在多个网络中变化。多层p 2模型是用贝叶斯马尔可夫链蒙特卡罗（MCMC）算法估计的，该算法在免费软件中实现，用于完整社会网络数据的统计分析，称为StOCNET。通过对不同种族背景的荷兰高中生所获得的实践支持的研究来说明这种新模式。
The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.