Simulations were used to compare complete case analysis of ordinal data with including multivariate normal imputations. MVN methods of imputation were not as good as using only complete cases. Bias and standard errors were measured against coefficients estimated from logistic regression and a standard data set.
Chen, Ling; Toma-Drane, Marian; Valois, Robert F.; and Drane, J. Wanzer
"Multiple Imputation For Missing Ordinal Data,"
Journal of Modern Applied Statistical Methods: Vol. 4
, Article 26.
Available at: http://digitalcommons.wayne.edu/jmasm/vol4/iss1/26