A Comparison of Multilevel Mediation Modeling Methods: Recommendations for Applied Researchers.
Multilevel structural equation modeling (MSEM) has been proposed as a valuable tool for estimating mediation in multilevel data and has known advantages over traditional multilevel modeling, including conflated and unconflated techniques (CMM & UMM). Recent methodological research has focused on comparing the three methods for 2-1-1 designs, but in regards to 1-1-1 mediation designs, there are significant gaps in the published literature that prevent applied researchers from making educated decisions regarding which model to employ in their own specific research design. A Monte Carlo study was performed to compare MSEM, UMM, and CMM on relative bias, confidence interval coverage, Type I Error, and power in a 1-1-1 model with random slopes under varying data conditions. Recommendations for applied researchers are discussed and an empirical example provides context for the three methods.
Duke Scholars
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Related Subject Headings
- Social Sciences Methods
- Multilevel Analysis
- Latent Class Analysis
- Humans
- Data Interpretation, Statistical
- 52 Psychology
- 49 Mathematical sciences
- 35 Commerce, management, tourism and services
- 17 Psychology and Cognitive Sciences
- 15 Commerce, Management, Tourism and Services
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Social Sciences Methods
- Multilevel Analysis
- Latent Class Analysis
- Humans
- Data Interpretation, Statistical
- 52 Psychology
- 49 Mathematical sciences
- 35 Commerce, management, tourism and services
- 17 Psychology and Cognitive Sciences
- 15 Commerce, Management, Tourism and Services