Multiple Imputation of Multilevel Missing Data

The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledge or a high degree of familiarity with certain statistical software. In the missing data literature, pan has been recomm...

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Bibliographic Details
Main Authors: Simon Grund, Oliver Lüdtke, Alexander Robitzsch
Format: Article
Language:English
Published: SAGE Publishing 2016-10-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244016668220