TestDataImputation: Missing Item Responses Imputation for Test and Assessment Data
Functions for imputing missing item responses for dichotomous and
polytomous test and assessment data. This package enables missing imputation
methods that are suitable for test and assessment data, including:
listwise (LW) deletion (see De Ayala et al. 2001 <doi:10.1111/j.1745-3984.2001.tb01124.x>),
treating as incorrect (IN, see Lord, 1974 <doi:10.1111/j.1745-3984.1974.tb00996.x>;
Mislevy & Wu, 1996 <doi:10.1002/j.2333-8504.1996.tb01708.x>;
Pohl et al., 2014 <doi:10.1177/0013164413504926>), person mean imputation (PM),
item mean imputation (IM), two-way (TW) and response function (RF) imputation,
(see Sijtsma & van der Ark, 2003 <doi:10.1207/s15327906mbr3804_4>),
logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM)
imputation (see Finch, 2008 <doi:10.1111/j.1745-3984.2008.00062.x>).
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