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We then carried out multiple imputations of missing values with chained equations using the -mi impute chained- command in STATA SE 12. Multiple imputations assume that missing information is missing at random based on the predictors entered into the model.
Plausible values are multiple imputations of the unobservable latent achievement for each student.
Hence, the following calculations were based on 25 datasets for each student, resulting from the five multiple imputations of the control data multiplied by the subsequently estimated five plausible values for each imputation.
As discussed above, a defensible alternative approach to estimating equation (1) entails the appropriate use of plausible values (PVs), the multiple imputations of cognitive scores provided by some survey agencies in large scale surveys such as NALS.
As respondents received different item booklets, PIAAC reports 10 plausible values, or multiple imputations of proficiency values from the posterior distribution of a latent regression item response model, for each skill domain.
As a third sensitivity analysis, multiple imputations of these data, assuming missingness at random, were conducted.
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To impute OC values < LOD, we defined an additional function for bootstrap multiple imputation of interval censored variables (Lubin et al. 2004).
Multiple imputation of missing data by chained equation method was used to derive five imputed data sets (Royston, 2004, 2005a, 2005b; van Buuren et al, 2006).
Multiple imputation of missing item response enabled inclusion of all responders.
Minor differences are probably due to the multiple imputation of missing data in our study.
Multiple imputation of missing costs with possibly zero values is more complicated, and two-part models can be more useful.
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