Multilevel modeling for binary data
Multilevel modeling for binary data
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DOI：
10.1146/annurev.soc.26.1.441
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发表时间：
2000-01-01
影响因子：
10.5
通讯作者：
Zhao, HX
中科院分区：
文献类型：
--
作者：
Guo, G;Zhao, HX
我们回顾了过去十年中应用多水平logit模型的一些工作。我们试图提供一个简短的描述的假设测试，分层数据结构分析，和多级数据源，我们已经审查了每一块工作。我们还回顾了技术文献，并提出了两个例子，多层次模型的二元结果。综述和示例有两个目的：第一，它们旨在帮助使用多层次模型处理二元结果的各个方面，包括模型概念化，研究报告的模型描述，对所需多层次数据结构的理解，通过普遍可用的统计软件包估计模型，以及对结果的解释。其次，我们的示例有助于评估已实现供公众使用的二元多层模型的逼近程序。
We review some of the work of the past ten years that applied the multilevel logit model. We attempt to provide a brief description of the hypothesis tested, the hierarchical data structure analyzed, and the multilevel data source for each piece of work we have reviewed. We have also reviewed the technical literature and worked out two examples on multilevel models for binary outcomes. The review and examples serve two purposes: First, they are designed to assist in all aspects of working with multilevel models for binary outcomes, including model conceptualization, model description for a research report, understanding of the structure of required multilevel data, estimation of the model via a generally available statistical package, and interpretation of the results. Second, our examples contribute to the evaluation of the approximation procedures for binary multilevel models that have been implemented for general public use.