Testing Multilevel Mediation Using Hierarchical Linear Models Problems and Solutions

被引：933

作者：

Zhang, Zhen ^{[1
]}

Zyphur, Michael J. ^{[2
]}

Preacher, Kristopher J. ^{[3
]}

机构：

[1] Arizona State Univ, Tempe, AZ 85287 USA

[2] Univ Washington, Bothell, WA USA

[3] Univ Kansas, Lawrence, KS 66045 USA

来源：

ORGANIZATIONAL RESEARCH METHODS | 2009年 / 12卷 / 04期

关键词：

multilevel; mediation; hierarchical linear models; random coefficient regression; LEVEL MEDIATION; PERFORMANCE; EMPOWERMENT; INFERENCES; LEADERSHIP; FRAMEWORK;

D O I：

10.1177/1094428108327450

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recent years. However, potential confounding in multilevel mediation effect estimates can arise in these models when within-group effects differ from between-group effects. This study summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models confounding can be produced and erroneous conclusions may be derived when using popularly recommended procedures. A Monte Carlo simulation study illustrates that these procedures can underestimate or overestimate true mediation effects. Recommendations are provided for appropriately testing multilevel mediation and for differentiating within-group versus between-group effects in multilevel settings.

引用

页码：695 / 719

页数：25

共 35 条

[1] THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].