Using Person Mean Imputation and Full Information Maximum Likelihood to Deal with Item Level Missing Data: A Hybrid Approach

Missing data often occur on items in large scale survey research. We examine a hybrid approach to handle the missing data which combines person mean imputation and full information maximum likelihood. Our study suggests that the approach performs well for both continuous and ordinal items under a variety of conditions.