Multiple Imputation of Missing Data for Multilevel Models

Simon Grund, Oliver Lüdtke, Alexander Robitzsch

Type: Article

Publication Date: 2017-05-15

Citations: 165

DOI: https://doi.org/10.1177/1094428117703686

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Organizational Research Methods - View

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+ PDF Chat	Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials	2011	Rebecca Andridge
+	Planned missing data designs in psychological research.	2006	John W. Graham Bonnie J. Taylor Allison E. Olchowski Patricio Cumsille
+	Imputation Strategies for Missing Continuous Outcomes in Cluster Randomized Trials	2008	Monica Taljaard Allan Donner Neil Klar
+	8. How to Impute Interactions, Squares, and other Transformed Variables	2009	Paul T. von Hippel
+	A Note on the Use of Missing Auxiliary Variables in Full Information Maximum Likelihood-Based Structural Equation Models	2008	Craig K. Enders
+	Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models	2003	Amy L. Stubbendick Joseph G. Ibrahim
+	Computational Strategies for Multivariate Linear Mixed-Effects Models With Missing Values	2002	Joseph L. Schafer Recai Yucel