期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2010
卷号：9
期号：1
页码：8
出版社：Wayne State University
摘要：The performance of multiple imputation (MI) for missing data in Likert-type items assuming multivariate normality was assessed using simulation methods. MI was robust to violations of continuity and normality. With 30% of missing data, MAR conditions resulted in negatively biased correlations. With 50% missingness, all results were negatively biased.
关键词：Multiple imputation; missing data; missing at random; Likert-type items
