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Testing Multilevel Mediation Using Hierarchical Linear Models Problems and Solutions
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DOI：10.1177/1094428108327450.png)
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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.
Keyword:
multilevel
mediation
hierarchical linear models
random coefficient regression
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论文数:
887
被引数:
1.4W
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