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分层线性模型 (HLM)

分层线性模型(Hierarchical Linear Model, HLM)是一种多层次回归方法,适用于低层单位(如学生、患者)嵌套在高层群体(如学校、医院)中的数据。它同时对群体内部关系和群体间变异进行建模,从而提供普通回归方法无法为嵌套数据提供的无偏估计和正确标准误。

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来源

  1. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd ed.). Sage Publications. ISBN: 978-0761919049
  2. Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). Sage Publications. ISBN: 978-1849202015

如何引用本页

ScholarGate. (2026, June 3). Hierarchical Linear Model. ScholarGate. https://scholargate.app/zh/statistics/hierarchical-linear-model

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被引用于

ScholarGateHierarchical Linear Model (Hierarchical Linear Model). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/hierarchical-linear-model · 数据集: https://doi.org/10.5281/zenodo.20539026