Abstract
Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recently years. However, biases could arise when no centering or grand-mean centering is used in these models. This study first summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of these models, biases are produced when using current procedures of testing multilevel mediation. A Monte Carlo study was conducted to illustrate that HLM applied to grand-mean-centered data can under- or overestimate true mediational effects. Recommendations are provided with regard to the differentiation of within-group versus between-group mediation in multilevel settings.
| Original language | English (US) |
|---|---|
| Title of host publication | Academy of Management 2008 Annual Meeting: The Questions We Ask, AOM 2008 |
| State | Published - 2008 |
| Event | 68th Annual Meeting of the Academy of Management, AOM 2008 - Anaheim, CA, United States Duration: Aug 8 2008 → Aug 13 2008 |
Other
| Other | 68th Annual Meeting of the Academy of Management, AOM 2008 |
|---|---|
| Country/Territory | United States |
| City | Anaheim, CA |
| Period | 8/8/08 → 8/13/08 |
Keywords
- Hierarchical linear models
- Mediation
- Multilevel models
ASJC Scopus subject areas
- Management Information Systems
- Management of Technology and Innovation