The Impact of Using Incorrect Weights With the Multiple Membership Random Effects Model

• In Event: Multilevel Modeling Methods and Applications II

Abstract

The multiple membership random effects model (MMREM) is used to appropriately model multiple membership data structures. Use of the MMREM requires selection of weights reflecting the hypothesized contribution of each level two unit (e.g., school) to the level one outcome. This study assessed the impact on MMREM parameter and residual estimates of the choice of weight pattern used. Weight patterns were compared using a real dataset and a small-scale simulation study. Results indicated that choice of weight pattern did not greatly impact relative parameter and SE bias nor level two residuals’ ranks.

Authors

• Lindsey Smith, The University of Texas - Austin

• Susan Natasha Beretvas, The University of Texas - Austin