#2181. Using a Cross-Classified Multilevel Mediation Model (CC-M3) with Longitudinal Data Having Changes in Cluster Membership
June 2026 | publication date |
Proposal available till | 30-05-2025 |
5 total number of authors per manuscript | 3530 $ |
The title of the journal is available only for the authors who have already paid for |
|
|
Journal’s subject area: |
Economics, Econometrics and Finance (all);
Modeling and Simulation; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
5 place - free (for sale)
Abstract:
A Monte Carlo simulation study is conducted to examine the consequence of ignoring the changes in cluster memberships in multilevel mediation analysis. Results show that the proposed method, Cross-Classified Multilevel Mediation Model (CC-M3), outperforms the conventional multilevel model with substantially smaller relative biases in parameter estimates (about 50% less) and a more consistent and higher coverage rate. Findings of this simulation study inform the empirical researchers that the changes in cluster-membership needs to be appropriately taken into consideration in mediation analysis.
Keywords:
cross-classified mediation; Multilevel mediation; multiple membership model
Contacts :