Imputation for Ordered-categorical and Censored Data

Ordered-categorical measurements and censored measurements provide partial information about the value of an underlying continuous numeric variable. They provide more information than you would have if the measurement was missing, but less information than you would have if the numeric value was directly observed. In this sense, an ordered-categorical or censored measurement is somewhere between observed and missing.

Amos 7.0 can impute numerical values for ordered-categorical, censored and missing measurements in the same way that Amos 6.0 can impute numerical values for missing measurements. The resulting completed dataset (also called an imputed dataset) can be used as input to other programs that require complete numerical data. In this way, non-numeric data can be converted to numeric data.