Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…

This publication presents experimental estimates of completion and attrition rates for the latest commencing apprentice and trainee cohorts. Such up-to-date estimates are possible by applying a "life tables" methodology to simple cross tabulations of commencements, completions and cancellations/withdrawals. The resultant cross-sectional…