10.8 Estimating classification accuracy using multiple imputations

Note that when estimating classification accuracy, item paraemters are assumed to be known. In practice, item parameters can only be estimated.

When sample size is small, item parameters may be poorly estimated and classification accuracy may be overestimated.

Kreitchmann et al (2022) proposed to use multiple imputation to improve the estimation accuracy of clssification accuracy.

The proposed procedure can be implemented in cdmTools package. Be advised that it would be quite slow.

Code

library(GDINA)
library(cdmTools)
Y <- ecpe$dat
Q <- ecpe$Q
lcdm <- GDINA(Y, Q, model = "GDINA", verbose = 0)
CA(lcdm)
CA.MI(lcdm, "MAP")