On the Imputation of Missing Data in Surveys with Likert-Type Scales

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On the Imputation of Missing Data in Surveys with Likert-Type Scales

The aim of this paper is two-fold: to propose the imputation procedure named ABBN for replacing missing data in likert-type scales and to compare its performance with some well-known imputation methods. ABBN is a hot-deck imputation procedure which modifies the Approximate Bayesian Bootstrap method by sampling the donor in the neighbourhood of the nonrespondent. The comparison among the imputat...

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ژورنال

عنوان ژورنال: Journal of Classification

سال: 2011

ISSN: 0176-4268,1432-1343

DOI: 10.1007/s00357-011-9074-z