Multiple Imputation For Missing Ordinal Data
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						Published
						May  1, 2005
					
				
																																														
													
		
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													Ling Chen
															
				
													
									University of Arizona
								
																											Mariana Toma-Drane
															
									University of South Carolina 
								
																											Robert F. Valois
															
									University of South Carolina
								
																											J. Wanzer Drane
															
									University of South Carolina
								
																									Abstract
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.
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