Multiple Imputation to Estimate Hierarchical Models From Data Missing at Random: Latent Covariates, Random Coefficients, and Statistical Interactions
Journal of Educational and Behavioral Statistics
Published online on December 11, 2025
Abstract
Journal of Educational and Behavioral Statistics, Ahead of Print.
Consider the conventional multilevel modelY=Cγ+Zu+ewhereγrepresents fixed effects and(u,e)are multivariate normal random effects. The continuous outcomesYand covariatesCare fully observed with a subsetZofC. The parameters areθ=(γ,var(u),var(...
Consider the conventional multilevel modelY=Cγ+Zu+ewhereγrepresents fixed effects and(u,e)are multivariate normal random effects. The continuous outcomesYand covariatesCare fully observed with a subsetZofC. The parameters areθ=(γ,var(u),var(...