Multiple imputation in practice—a case study using a complex German establishment survey |
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Authors: | Jörg Drechsler |
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Institution: | 1.Institute for Employment Research,Nürnberg,Germany |
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Abstract: | Multiple imputation is widely accepted as the method of choice to address item nonresponse in surveys. Nowadays most statistical
software packages include features to multiply impute missing values in a dataset. Nevertheless, the application to real data
imposes many implementation problems. To define useful imputation models for a dataset that consists of categorical and possibly
skewed continuous variables, contains skip patterns and all sorts of logical constraints is a challenging task. Besides, in
most applications little attention is paid to the evaluation of the underlying assumptions behind the imputation models. |
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Keywords: | |
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