An overview of the logic and rationale of hierarchical linear models
介绍分层线性模型的逻辑和原理，说明如何用该模型分析组织中嵌套数据（如个体嵌套于团队、部门等）的多层次影响，适合需要处理层级数据的经管研究者快速了解其基本概念和建模思路。
Due to the inherently hierarchical nature of organizations, data collected in organizations consist of nested entities. More specifically, individuals are nested in work groups, work groups are nested in departments, departments are nested in organizations, and organizations are nested in environments. Hierarchical linear models provide a conceptual and statistical mechanism for investigating and drawing conclusions regarding the influence of phenomena at different levels of analysis. This introductory paper: (a) discusses the logic and rationaleofhierarchical linear models, (b) presents a conceptual descriptionofthe estimation strategy, and (c) using a hypothetical setofresearch questions, provides an overviewofa typical seriesofmulti-level models that might be investigated.